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Ile St Louis
São Luis – MA
Launched in August 2009




                          Company Presentation
                             p y
                                     November 2009
Auge
São Paulo – SP
Launched in September 2009




                                            Contents

                             Company Overview


                             Brazilian Real Estate Sector Overview


                             Market Intelligence and Launched projects
                                           g                  p j


                             Living


                             Outlook for the future


                             3Q09 Results


                             Appendix
Novo Jardim Family Resort
Santo André - SP
Launched in September 2009




                             Company
                             Overview
                             O    i
Cyrela at a Glance: Scale, Execution Capacity and
Leadership

 Largest homebuilder in Brazil, with almost 50 years of experience
                        Brazil

 Nationwide footprint in all income-levels, with proven capacity to develop market
 segments

 Fully integrated real estate developer from construction to sales

 Strong operating performance, with 48,400 units sold from 2005 to 9M09
 representing a PSV of R$ 14.9 bn (Cyrela+partners) or R$ 10.2 bn (Cyrela’s
 stake)




 Outstanding track-record with unique positioning to capture growth opportunities
                                                                                     4
Solid Track-Record of Growth and Value Creation
  Strengthening Market Position                                                     Accelerating Geographic and Segment Expansion

                             Value created for shareholders since IPO (Base 100) - R$               (1)


  400
                                                                                                          345     US$100 invested in the                                                 4,850(2)
  300                                                                                                              IPO would be worth                                          4,612
                                                                                                          211       US$ 432 currently
  200
                                                                                                          210
                                                                                                                                                           4,392
                                                                                                                                                           4 392
        100
  100         100        100

    0
    Sep-05          Mar-06       Sep-06     Mar-07   Sep-07        Mar-08     Sep-08      Mar-09      Sep-09

                             CYRELA (CYRE3+CCPR3)       Ibovespa            CYRE3 (Since FO 2006)
                                                                                                                           1,915
                                                                                                    1,023
Pre-Sales Contracts (R$ million, 100%)
                                                                                                                       Follow-On                                                BRL Debenture
                                                2000: Cyrela                                                                        Launching of the          CCP’s spin-off    offering
                                                                                                                       (US$382mm)   first Living product
                                                starts                                                                                                                          (US$190mm)
                                                partnership            2002: Cyrela
                1994: Brazil Realty,
                                                with RJZ in RJ         acquires IRSA’s
                a JV with IRSA                                                                                                                                                            Sale of
                (George Soros), is
                         Soros)                                        stake in Brazil                                                                                                    stake in Agra
                founded                                                Realty                                                                                            BRL Debenture    (US$170mm)
                                                                                                                                     BRL                                 Offering
                                   1998: Brazil                                 Merger of                                                                                (US$280mm)
                                                                                                                                     Debenture
                                   Realty issues                                Cyrela with                                          Offering
1962:                              international                                Brazil Realty                                        (US$247mm)
Cyrela is             1996: Brazil b d
                                   bond
founded               Realty goes                                                                                                    Joined
                      public                                                           IPO                                           Ibovespa
                                                                                       (US$397mm)                                    Index



  1962 - 2004                                                                      2005                         2006                       2007                           2008         2009
(1) Source: Bloomberg, as of 13 October, 2009
(2) Considering mid point of 2009 guidance (from R$4.6bn to R$5.1bn – 100% stake)                                                                                                                   5
What has been done since the IPO

                          PSV (R$ million)                  Sales (R$ million)                Units Launched

                               4x                                 5x       4,612
                                                                            ,                     7x        16,875
                                        4,827
Achievements1          1,211
                                                          1,023                           2,538


                        2005            2008              2005             2008            2005             2008




                  CAGR 2005 – 2008                                       Sound track record in innovation
 Strong growth         PSV: 59% (total 299%)                               ► Partnerships and Joint Ventures
 and unparallel        Sales: 65% (total 351%)                             ► Geographical expansion
   execution                                                               ► In house sales force
                       Units launched: 88% (total 565%)
                                                                           ► Establishment of Living in 2006
                                                                                                     g


                     Management team fully professionalized with deep knowledge of the real estate industry
  Management
    support          Committee driven decision making process
                     Leverage upon partnership on local industry expertise


                    Strongest balance sheet in the industry, with capacity to grow in segments from low-income to
 Solid balance      mid-high
   sheet and
                    EBITDA margin among the highest of industry (
                              g       g       g               y (Integrated business model)
                                                                     g                    )
  profitability
                    Capacity to achieve excellent results with very low leverage compared to the Industry

(1) 100% stake                                                                                                       6
Geographical Expansion

     Presence in 55 cities in 17 states of Brazil and in Buenos Aires in Argentina
                                 2005                                                                               2006                                                                                    2009

                            RR                                                                                 RR                                                                                 RR
                                             AP                                                                                 AP                                                                                     AP




                  AM                                             MA              CE                  AM                                             MA              CE                  AM                                                 MA              CE
                                        PA                                                                                 PA                                                                                     PA
                                                                                       RN                                                                                 RN                                                                                     RN
                                                                                           P                                                                                  P                                                                                      PB
                                                                      PI                   B                                                             PI                   B                                                                 PI
                                                                                           PE                                                                                 PE                                                                                     PE
            AC                                                                                  AC                                                                                 AC
                                                        TO                             AL                                                  TO                             AL                                                      TO                             AL
                       RO                                                             SE                  RO                                                             SE                  RO                                                                 SE
                                                                           BA                                                                                 BA                                                                                     BA
                                  MT                                                                                 MT                                                                                     MT


                                                  GO        DF                                                                       GO        DF                                                                           GO        DF


                                                                 M                                                                                  M                                                                                      M
                                                                 G                                                                                  G                                                                                      G
                                   MS                                       ES                                        MS                                       ES                                            MS                                       ES


                                                       SP                                                                                 SP                                                                                     SP
                                                                      R                                                                                  R                                                                                      R
                                                                      J                                                                                  J                                                                                      J
                                             PR                                                                                 PR                                                                                     PR


                                                  SC                                                                                 SC                                                                                     SC


                                        RS                                                                                 RS                                                                                     RS




                                                                                                                                                                                                   Buenos
                                                                                                                                                                                                   Aires




                                                                                                                      +                                                                                      +


    % of
  Brazilian
 GDP Covered
                                 47.9%                                                                              80.5%                                                                              90.5%(1)


                             In a short period of time, Cyrela has achieved tremendous success
                                                   time
                                              in its geographical growth strategy
(1) Considers 2007 data, most recent.
Source: Company and IBGE.                                                                                                                                                                                                                                                 7
Prospects of strong growth with unique track record

       Increase in sales speed in most relevant income segments: pre-crisis levels
       Living benefits from Housing Program “Minha Casa Minha Vida”
                                             Minha Casa,      Vida
       Lowest interest rate in 50 years will be positive for the activity in the mid-high segments
       Low execution risk
            ►     15 construction platforms distributed throughout Brazil
            ►     Constructed area grew from 232 thousand sq.m in 2005 to 1.0 mm sq.m in 2008
            ►     Conservative cash-flow management
                                             g
            ►     161 construction sites ongoing in Sep/2009

                       Constructed Area per Year                                            Units Delivered
 Private area in thousands of sq.m.

       Historical                                                            Historical (until 9M09)
       Forecasted                                                            Forecasted
                                                                                                                18,682


                                                                                                       11,577

                                                             1,917                                     7,661
                                                     1,723

                                             1,002
                                  594
                     372                                                                  3,178        3,915
       232                                                           2,211
                                                                     2 211

        2005          2006            2007    2008   2009e   2010e   2007                2008          2009e    2010e

Source: Company data                                                                                                     8
Cyrela Brazil Realty

                                  2005                 2006                2007                2008          9M09

Launches                         R$ 1.2 bn            R$ 2.9 bn          R$ 5.4 bn            R$ 4.9bn       R$ 3.1bn
Pre-sales                        R$ 1.0 bn            R$ 1.9 bn           R$ 4.4 bn           R$ 4.7bn       R$ 3.0bn
Landbank                       3.0 mm sq.m.        4.9 mm sq.m.        8.8 mm sq.m.        11.2 mm sq.m.   11.9 mm sq.m.

Low income units                      0                  720               6.7 thd            10.5 thd         6 thd


Gross Margin                       48.5%                42.2%               41.2%              40.1%          34.9%
EBITDA Margin*                     27.1%                22.3%               22.9%              20.1%          22.6%
Net Margin*                        23.2%                21.7%               24.7%              13.7%          18.0%

# Homebuilders listed                 2                   4                   21                 20             20

Market Cap Cyrela                R$ 2.4 bn            R$ 4.5 bn           R$ 8.6 bn          R$ 3.3 bn      R$ 8.5 bn
Market Cap of the Industry       R$ 6.0 bn         R$ 10.0 bn            R$ 48.1 bn          R$ 13.4 bn     R$ 40.9 bn


Number of cities                      3                   8                   47                 55             55
Employees                            202                 327                 529                 514           776
Seller Brokers & Team                100                 200                 743                 637          1,150

                    *Adjusted for IPO expenses and according to BR GAAP before Law 11,638 until 2007.                      9
Vitória Pirituba Gaivota
São Paulo, SP
Launched in September 2009




                                Brazilian
                               Real Estate
                             Sector Overview
Favorable Macroeconomic Conditions
                     Mortgage Loans Funding (R$ bn)                                                 Unemployment Rate Variation (‘000 people)
                                                                                 45.8   250                                                                                                                                                                                        2,200
                                                                         40.6           200                                                                                                                                                                                        2,000
                                                                                 15.0   150                                                                                                                                                                                        1,800
                                                                         10.5
                                                                                        100                                                                                                                                                                                        1,600
                                                                 25.2                    50                                                                                                                                                                                        1,400
                                                                 6.9                      0                                                                                                                                                                                        1,200
                                                                                                                                                                                                                                                                                   1 200
                                                          16.3
                                                                                        -50                                                                                                                                                                                        1,000
                                              10.4                       30.0    30.8                    Level (th people) (LHS)
                                                          7.0                           -100                                                                                                                                                                                       800
   5.2                                 6.9                       18.3                                    Accumulated Last Twelve Months (RHS)
               4.6     4.8    5.0              5.5                                      -150                                                                                                                                                                                       600
   3.3         2.7      3     2.8      3.9                9.3
   1.9         1.9     1.8    2.2      3.0     4.9                                      -200                                                                                                                                                                                       400

 2000      2001       2002    2003    2004    2005        2006   2007 2008 2009E        -250                                                                                                                                                                                       200




                                                                                                                                   May-08




                                                                                                                                                                                                                                               May-09
                                                                                               Jan-08




                                                                                                                                                                       Sep-08




                                                                                                                                                                                                  Dec-08
                                                                                                                                                                                                           Jan-09
                                                                                                                                            Jun-08




                                                                                                                                                                                                                                                        Jun-09
                                                                                                        Feb-08




                                                                                                                                                                                                                    Feb-09
                                                                                                                                                                                         Nov-08
                                                                                                                                                                                Oct-08
                                                                                                                                                              Aug-08




                                                                                                                                                                                                                                                                          Aug-09
                                                                                                                          Apr-08




                                                                                                                                                                                                                                      Apr-09
                                                                                                                                                     Jul-08




                                                                                                                                                                                                                                                                 Jul-09
                                                                                                                 Mar-08




                                                                                                                                                                                                                             Mar-09
                                     SBPE     FGTS

                               GDP Growth (%)                                                                                      Consumer Confidence Index

                                                                                        125                                                                                       Consumer confidence
                                     5.7                                                120                                                                                     returns to pre-crisis level
                                                   5.1                            8
                                                                                4.8                                                                                                                                                                                Sep/09
                                                                                                                                                                                                                                                                      p
                                                                                        115
                                                                                        11                                                                                                                                                                          111.0
                       4.0                                                                                                                                                                                     111.7
                                                                                        110
         3.2
                                                                                        105
                                                                                        100
                                                                                          95
                                                                 0.1
                                                                                          90
      2005             2006          2007        2008            2009E          2010E          Jul-07 Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09


Despite international crisis, macroeconomics in Brazil shows strong recovery trends
Source: Brazil Central Bank, IBGE, Credit Suisse, FGV .
                                                                                                                                                                                                                                                                                           11
Real Estate Financing: Still a Considerably Small
Percentage of Brazilian GDP
        g

 Total Real Estate Financing in Brazil (R$ billion)                                      Total Real Estate Financing (% of GDP)

                                                                        76.9
                                                                                                                                                 83.1%

                                                               63.3
                                                                                                                                  59.2%


                                                                                                                                 58.6%
                                                     45.9
                                                     45 9


                                           35.7
                                                                                                                             51.3%

                                 29.1
   24.4      25.1      25.8
                       25 8                                                                                     32.2%
                                                                                                                32 2%


                                                                                                       18.0%


                                                                                                    13.0%

     2002      2003      2004      2005      2006      2007      2008   Jul-09               2.4%


Source: Central Bank of Brazil, Caixa Econômica Federal, and Câmara              Source: Spanish Mortgage Association, Central Bank of Brazil and ABECIP
        Brasileira da Indústria da Construção                                            (Nov/08)


                       Significant potential growth for Real Estate financing in Brazil
                                                                                                                                                           12
A Booming Real Estate Market: Strong Fundamentals
     The Brazilian real estate market is poised to benefit from a favorable environment
                        High Demand for Housing                                                                                           Low Supply of Units

   1. Population and families                                                                                  3. Rising Housing Deficit(1)
                                                                                                               Expanding the market for housing (Millions of housing Unit)
                                                In millions
                                                                      Persons
   Year                               Families Population             per family                                                                                                      7.2
                                                                                                                                                         6.7
                                                                                                                             5.4
   2007                                  60.3            189.1                       3.1
   2017E                                 75.6
                                         75 6            211.2
                                                         211 2                      2.8
                                                                                    28
   2030E                                 95.5            233.6                    2.4
                                                                                                                            1991                        2000                         2009


   2. Monthly income evolution                                                                                 4. Number f Home M
                                                                                                               4 N b of H       Moves per P
                                                                                                                                          Person
                                                                                                               Low number of home moves as compared to other countries
                                         In millions of families
                                                                      Growth rate
                                          2007         2030(E)        (%) per year
                                                                                                                   Brazil                                                                     1.8x
   up to R$ 1,000                       31.7              29.1         -0.4%
   from R$ 1,000 to R$ 8,000            27.2              60.4              3.9%                                   Mexico                                                                     4.0x
   more than R$ 8,000                   1.4              5.9                    7.1%
   Total                                 60.3             95.5           2.0%                                      G-7                                                                      9-10x



    Cy e a s uniquely positioned
    Cyrela is u que y pos t o ed to take advantage o t e pos t e Brazilian real estate e
                                    ta e ad a tage of the positive a a ea              environment
                                                                                            o e t

(1) Considers demand in excess of supply.
Source: IBGE (Brazilian Institute of Geography and Statistics), Brazilian Central Bank, Ministry of Cities, Fundaçāo Pinheiro, FactSet, Bloomberg, Fundação Getulio Vargas and Wall Street Research.
                                                                                                                                                                                                       13
Impact for Cyrela: The future is now
                          2005                                                          2008                                                    2009

                                                                  Incremental
                                                                  I       t l                                      Incremental
                                                                                                                   I        t l
                                Monthly                           Demand (vs. 2005):              Monthly          Demand (vs.                         Monthly
                                Income                            +24.0 mm families               Income           2005):                              Income
                                   > R$ 4,800
                            10%    5.7 mm families
                                                                                                                   +35.7 mm
                                                                                                                   families
                                                                                                     > R$1,400                                            > R$1,400
                                                                                         47%         28.8 mm families                                     41.4 mm families
                                           From R$1,200 to R$4,800
                            39%            22.4 mm families
                                                                                                                                                 67%




                                                     < R$1,200                           53%                  < R$1,400          ~30 million
                            51%                      29.3 mm families                                         32.1 mm families    families

                                                                                                                                                                       < R$1,400
                                                                                                                                                 33%                   20.4 mm
                                                                                                                                                                       families
                         TR+14%                                                         TR+9%                                                  TR+5%1
                         10 years                                                      30 years                                                30 years
         Minimum monthly family income to purchase a property
   Cyrela s
   Cyrela’s
    Lowest          R$ 110,000.00                                                 R$ 90,000.00                                             R$ 80,000.00
  Ticket per
 unit available


                                    Cyrela s
                                    Cyrela’s addressable market increased from 10% to 67%
                                          of the Brazilian population in the past years
Source: IBGE (Brazilian Institute of Geography and Statistics).
(1) Within Minha Casa Minha Vida Program                                                                                                                                     14
Low-Income Segment: Renewed Growth Opportunity
      Minha Casa, Minha Vida program - Potential demand growth in Brazil
      Low mortgage rates + incentives = high affordability levels
      Monthly rent vs. mortgage payment already in tandem
                                            Purchase Power – Impact of Minha Casa, Minha Vida Program
 Before the Program Post-Program
                                                                                                                                                          121,896
                                                                                                                                                    117,107
                                                                                                                                          109,509
                                                                                                                                    105,199
                                                 90,400                92,700
                                                                       92 700              93,309
                                                                                           93 309                   93 291 97,122
                                                                                                                    93,291
                          78,800                                                                    81,382 84,735
                                                                                  71,320
                                        64,505
                 57,083                                       59,104




                      3MW                   4MW                    5MW               6MW               7MW             8MW             9MW            10MW

Max monthly
 installment           419                    558                   698               837               977            1,116            1,256           1,395
     (R$)
   Effective
      rate            5.12%                 5.12%                  5.12%             6.12%             8.47%           8.47%           8.47%           8.47%
     (p.a.)

      Minha Casa, Minha Vida program enables millions of families to purchase houses
Source: IBGE (Brazilian Institute of Geography and Statistics) and Company data
                                                                                                                                                                    15
Economic Segment : Sector’s Outlook


                                3 MW      3 MW       4 MW      4 MW      5 MW         5 MW     6 MW    6 MW     7 MW    7 MW     8 MW    8 MW     9 MW    9 MW    10 MW 10 MW

Minimum wage (R$)               1,395     1,395      1,860     1,860      2,325        2,325   2,790    2,790   3,255    3,255   3,720    3,720   4,185   4,185   4,650   4,650


Max Installment - 30% (R$)        419       419        558       558        698         698      837     837      977     977    1,116    1,116   1,256   1,256   1,395   1,395


Effective Rate (p.a.)          5.12%     5.12%      5.12%     5.12%      8.47%        5.12%    8.47%   6.17%    8.47%   8.47%    8.47%   8.47%    8.47%   8.47%   8.47%   8.47%


Term (months)                     300       300        240       300        240         240      240     240      240     240      240     240      240     240     240     240


Loan to Value (%)                90%       90%       100%       90%      100%         100%     100%    100%     100%    100%     100%    100%     100%    100%    100%    100%


Maximum financing (R$)         50,699    55,800    61,705     74,400    59,104        83,700 71,320    91,309 81,382    84,735 93,291    97,122 105,199 109,509 117,107 121,896


Maximum Incentive (R$)          6,384    23,000      2,800    16,000              -    9,000       -    2,000       -        -       -        -       -       -       -


Purchase Power (R$)            57,083    78,800    64,505     90,400    59,104        92,700 71,320    93,309 81,382    84,735 93,291    97,122 105,199 109,509 117,107 121,896

            With the Program

          Before the Program




Source: IBGE (Brazilian Institute of Geography and Statistics) and Company data                                                                                                   16
Financing: Interest and Term Impact

                                                                       Monthly Installment (R$)
Model:                                                                                     Loan Term (years)
                                                                                   10     15      20       25      30
                                                                                   1377   1152    1057     1011     987
Unit Value: R$ 120,000                                                       12%
                                                                             11%   1322   1091     991       941    914




                                                                        %)
                                                           terest Rate (%
                                                                             10%   1269   1032     926       872    842
Loan-To-Value: 80%                                                            9%   1216    974     864       806    772
                                                                              8%   1165    917     803       741    704
                                                                              7%   1115    863     744       679    639
Loan: R$ 96,000                                                               6%   1066    810     688       619    576




                                                    Real Int
                                                                              5%   1018    759     634       561    515
                                                                              4%    972    710     582       507    458
Mortgage Effort: 30%                                                          3%    927    663     532       455    405
                                                                              2%    883    618     486       407    355

            Example
                                      Minimum Wages Required (monthly salary)
     Rental : R$800 per month                                                              Loan Term (years)
        Annual Yield: 8%                                                           10     15      20       25      30
                                                                             12%   10     8        8       7       7
                                                                             11%   9      8        7       7       7
 Equivalent to Loan Instalment with         Real Interest Rate (%)           10%   9      7        7       6       6
      Real Interest Rate at 8%                                                9%   9      7        6       6       6
         and 20 years term.                                                   8%   8      7        6       5       5
                                                                              7%   8      6        5       5       5
                                                                              6%   8      6        5       4       4
                                                                              5%   7      5        5       4       4
                                                                              4%   7      5        4       4       3
                                                                              3%   7      5        4       3       3
                                                                              2%   6      4        3       3       3
                                                                                                                          17
Dez Curuçá
São Paulo, SP
Launched in July 2009




                           Market
                        Intelligence
                            and
                         Launched
                          Projects
                              j
Sales Performance – Residential – 2009
                        São Paulo                                           Rio de Janeiro
                        (R$ million)                                          (R$ million)

       8,289                             4,891                      2,556
                                                                                                  1,604




                                                         Market
                                                         Cyrela
                     1,386
                      ,386                       961                        961                           221


   Launches in SP                      Pre-Sales in SP            Launches in RJ                Pre-Sales in RJ




           17%                            20%                        15%                       14%



     Launches                          Pre-Sales                  Launches                   Pre-Sales


                Cyrela’s stakes indicate strong sales performance in the main markets


Source: Cyrela MID

                                                                                                                  19
Launches 2004 to 2009 - SP Metropolitan Region

                                         Units                                                                                  Potential Sales Value
                                                                                                                                            (R$ million)

                                                                   65,833                                                                                                 17,822
                                                                                                                                                        17,422
                                                    58 512
                                                    58,512          9,611

                                                     7,030                                                                                                5,052
                                                                                                                                                                          7,282
                                                                   18,864
                                                                                                                                          11,274
                                                    19,074
                                                     9,0
                      34,345         35,350                                                                                  9,607
                                                                                 33,153
        28,782         3,688          4,051                                       1,886                        7,997                       3,939                                   8,290
                                                                                                                                                          7,326
                                                                                                                             3,320                                        5,626
         3,224         8,567         10,129                                       9,040                                                                                             2,012
         5,307                                                     28,987                                      3,119
                                                    21,524
                                                                                                                                           3,894
                                                                                                                                           3 894
         8,937         10,269                                                                                                3,242                                                  3,204
                                     12,721                                       15,517                       1,977
                                                                                                                                                          4,072           4,154
                       11,821                                                                                  1,803         1,928         2,688                                    2,376
        11,314                                      10,884
                                      8,449                         8,371         6,710
                                                                                                               1,098         1,117          753            972             760      698

        2004           2005           2006          2007           2008          9M09*                        2004           2005          2006          2007             2008     9M09*



                  Luxury > R$ 3 500/
                  L           3,500/sq.m.

                  Middle > R$ 2,700/sq.m., <3,500/sq.m.
                  Economic > R$ 1,900/sq.m., <2,700/sq.m.
                  Super-Economic < R$ 1 900/
                  S     E     i       1,900/sq.m.

         Source: Cyrela MID

* 2009 price ranges updated to: Luxury > R$4500 sq.m., Middle > R$ 3000 sq.m. < 4500 sq.m., Economic > R$2,200 sq.m < R$ 3,000 sq.m and Super-Economic < R$ 2,200 sq.m.                     20
Launches 2004 to 2009 - RJ and Region

                              Units                                        Potential Sales Value
                                                                                 (R$ million)



                                              15,911                                              4,121

                                   13,350                                                 3,446
                                                4,419
                                                                                 3,147
                                    2,363
                                    2 363                                                         1,894
                                                                                                  1 894
                                                         9,933                            1,272
                                                                         2,354                            2,443
                         7,831      3,885       4,484
                                                         2,945                   1,729
 6,856         7,019
                          1,734                                           883                             1,226
               1,491                                      ,
                                                         1,761   1,353                     975     ,
                                                                                                  1,225
  3,666        1,677      2,511                 4,559                     509
                                    5,800                         659             690                      391
                                                         3,570
  1,141        2,680                                                                       980     791
                          3,080                                   273     759                              577
  1,142                                         2,449             200             659
   907         1,171                1,302                1,657    221                      219     211     249
                           506                                            203     69

 2004          2005      2006       2007        2008     9M09    2004    2005    2006     2007    2008    9M09



              Luxury > R$ 3 500/
              L           3,500/sq.m.

              Middle > R$ 2,700/sq.m., <3,500/sq.m.
               Economic > R$ 1,900/sq.m., <2,700/sq.m.
              Super-Economic < R$ 1 900/
              S     E     i       1,900/sq.m.

 Source: Cyrela MID

                                                                                                                  21
Successful Track Record: São Paulo and Rio de Janeiro

             Menara                        Cosmopolitan
             São Paulo                     Rio de Janeiro
             Launched: Aug/09              Launched: May/06
                                           L     h d M /06

             80% sold on the first day     94% sold upon launch

             PSV R$ 81.3 million           PSV R$ 19.5 million
             254 units                     114 units
             91% sold until Oct/09         100% sold until Oct/09



                                           Reserva J di
                                           R        Jardim
             NovAmérica (several phases)   Rio de Janeiro
             São Paulo                     Launched: Oct/07
             Launched: Mar/09, May/09,
             Aug/09 and Sep/09
               g          p                Antecipated phases due to
                                           high demand
             PSV R$ 599.0 million
             1,528 units                   PSV R$ 368.2 million
             86% sold until Oct/09         1,292 units
                                           74% sold until Oct/09



             Escritórios Europa            CEO (1st phase)
             São Paulo                     Rio de Janeiro
             Launched: J l/08
             La nched Jul/08               Launched: Aug/09
                                           L     h d A /09

             100% sold in the launch       90% sold in the first month
             weekend
                                           PSV R$ 112.9 million
             PSV R$ 55.5 million
                     55 5 illi             469 offices
                                                ff
             254 units                     92% sold until Oct/09

                                                                         22
Successful Track Record: Other regions
            Urban Concept Residence
            and Commercial                Le Parc
            Porto Alegre – RS
                     g                    Salvador – BA
            Launched: Oct/08              Launched: Nov/07

            62% sold in the first month   739 units sold in 6 days

            PSV R$ 105.9 million          PSV R$ 502.5 million
            180 flats and 204 offices     990 units
            83% and 92% sold until        89% sold until Oct/09
            Oct/09



            Acqua Verde                   Île Saint Louis (1st phase)
            Curitiba - PR                 São Luis - MA
            Launched: Dec/08              Launched: Aug/09

            PSV R$ 72.9 million           PSV R$ 57.8 million
            215 units                     60 units
            85% sold until Oct/09         90% sold until Oct/09




            Grand Lider Olympus
            (phases I/II/III)             Vitrine
            Belo Horizonte – MG           Belém – PA
            Launched: Jun/06, Aug/07,     Launched: Jun/09
            May/08
                                          PSV R$ 37.0 million
            PSV R$ 347.9 million          50 units
            246 units
                  it                      96% sold until O t/09
                                                 ld  til Oct/09
            85% sold until Oct/09


                                                                        23
Cyrela’s Highlights
 NovAmérica with PSV of R$ 691.8 million, totally launched in 2009 with 1.7 mil units and 80%
 sold until November/2009


                    NovAmérica Office Park                                  Varanda NovAmérica

                    Launched in Mar/09                                      Launched in Aug/09
                    PSV: R$ 195.1 million                                   PSV: R$ 91.6 million
                    Usable area: 32,979 sq.m.                               Usable area: 23,526 sq.m.
                    Units: 548                                              Units: 324



                    NovAmérica Colorado                                     NovAmérica California
                    Residence Park                                          Collection

                    Launched in Mar/09                                      Launched in Sep/09
                    PSV: R$ 82.6 million                                    PSV: R$ 139.1 million
                    Usable area: 24,961 sq.m.                               Usable area: 36,696 msq.m.
                    Units: 216                                              Units:
                                                                            U it 224


                    NovAmérica Florida
                                                                            NovAmérica Michigan
                    Residence Park
                                                                            Launched in Oct/09
                    Launched in May/09
                                                                            PSV: R$ 92.8 million
                    PSV: R$ 90.6 million
                                                                            Usable area: 24,961 msq.m.
                    Usable area: 24,961 sq.m.
                                   ,     q
                                                                            Units:
                                                                            U it 216
                    Units: 216


                                                                                                         24
Living Proven Success Track Record - Living



            Minas Village
                                        Vita Praia
            Belo Horizonte – MG
                                        Salvador – BA
            Launched: Apr/08
                                        Launched: Feb/08
            First Living Project in
                                        100% sold
            Minas Gerais
                                        PSV R$ 37.7 million
            PSV R$ 49.9 million
                    49 9 illi
                                        264 units
            386 units


            Avanti Vida
                                        Paradiso
            São Paulo
                                        Serra – ES
            Launched: Jun/09
                                        Launched: Oct/07
            60% sold in the day of
                                        100% sold in 20 days
            launch
            l    h
            PSV R$ 46.5 million
                                        PSV R$ 60.3 million
            400 units
                                        383 units
            89% sold until Oct/09




                                                               25
Fatto Jardiim Botânico
São Paulo – SP
Launched in September 2009




                             Living
Paving the way to grow fast with a lean structure


                                   1. Solid Track
                                  Record of Growth

           7. Nationwide                               2. Know-How of
              presence                                   the Segment



                                                              3. Sufficient
   6. Management Team
                                                             Supply of Raw
     with more than 15
       ith      th
                                                               Materials /
    years experience in
                                                              Services and
      the low income
                                                               Personnel
           segment

                          5. Secured       4. Landbank Already
                          Financing              Available




                                                                              27
Short Cycle Process

                           Launch       Go-ahead                      Financing                     Delivery
   0 – 6 months
                                                      Construction
  Pre-Launching
                               0M        4M            8M               12M         16M             Up to 20M



                    Product                             Engineering                  Living Corporate Environment

     Simple, standard and easily               Use of “Lean Construction” Concept     Servicing the client from purchase
     executed projects focused on low          Assembly line                          onwards, through a single
     income segment. Standardization                                                  communication channel: the
                                               Reduction of waste and costs
     of:                                                                              Customer Servicing Platform
                                                                                                         g
                                               Enhancement of construction
        ►   Land acquisition                                                          In-house and trained sales force
                                               methods for popular housing
        ►   Real Estate Development                                                   Financing availability through Caixa
                                               Increased productivity and quality
        ►   Sales                                                                     Econômica Federal
                                                    g
                                               during works execution
        ►   Construction                       Increased costumer satisfaction
        ►   Customer Relationship              Price defined by product (not by
     Prices from R$90,000 to R$                sq.m.)
     200 000
     200,000                                   15% cost reduction expected
     Units from 45sq.m. to 75sq.m


Source: Company




                                                                                                                             28
Low Income Operation

                                    Independent activity in all steps of the business:
                                            L d acquisition
                                            Land    i iti                            C   t ti
                                                                                     Construction
                                            Real Estate Development                  Customer Relationship
                                            Sales                                    100% Financing with balance transfer


                                                       Prices from R$90,000 to                           Prices from R$130,000 to
         Prices up to R$ 90,000
                                                              R$130,000                                          R$200,000




     Living, Vitória, Dez, Parque dos Sonhos,        Líber, Mérito and Avanti Clube                     Fatto, Avanti and Garden
     and Avanti Vida                                 Units from 45sq.m. to 62sq.m.                      Units from 48sq.m. to 75sq.m.
     Units from 45sq.m. to 62sq.m.
                                                     1 parking space                                    1 parking space
     Parking
     P ki space optionalti   l
                                                     Eligible for Minha Casa Minha Vida                 Eligible for SFH financing
     Eligible for Minha Casa Minha Vida
                                                     financing                                          80% financed
     financing
     100% financed                                   100% financed


                                       Well shaped for the low-income segment
Source: Company
                                                                                                                                        29
Economic Construction Concept

          ‘’Lean Construction’’ Concept                                    Living’s Concept

Market research                         Partners + R&D Center   Simple standardized projects, easily
                                                                executed, and focused on process
                                                                management
                  Product       Technology

                                                                Synergy gains from the integration of
                                                                product development, technology and
                        Production
  Architecture
                         process                                production process
   Industrial
  management                                                    Better relationship between designers,
                                     Integrated process         manufactures and construction
                                         management

                                                                This new concept allowed Living to be
                                                                competitive in the lower segments of
                                                                                           g
                                                                the pyramid




                                                                                                         30
Living’s Historical Figures
        Over 23,000 units launched from December/2006 to September/2009

                                  Units launched                                     Units sold
                                                               13,500

                                                                                                               11,000
                                                                                                                 ,
                                                               7,533
                                            10,459                                                             5,333
                                                                                              8,934
                                 6,666                         5,967
                                                               5 967
                                                                                 5,077                         5,667
            720                                                         390
             2006                 2007       2008              2009E    2006      2007          2008           2009E
                          Achieved             Estimate                        Achieved             Estimate

                           Launches (R$ million)(1)                             Sales (R$ million)(1)
                                                               1,600


                                                                                                                1,300
                                            1,499               806
                                                                                                                 492
                                                                                               1,247
                                                                                               1 247
                                 884
                                                                                                                 808
                                                                794               641
            85                                                          44

           2006                  2007        2008              2009E    2006      2007            2008          2009E
                            Achieved                Estimate                   Achieved             Estimate
                                                                                                                        31
Note: 1 Considering 100% stake
Living - Construction Method

Use of “Lean Construction” Concept             Landbank - Minha Casa, Minha Vida (units)

    Simple projects easily executed, with
              projects,       executed                       September 30, 2009


    repetitions, standardized and focused on
    management
    Assembly line
    Reduction of wastes and costs
    Increased productivity during works                   MCMV               Others
           ti
    execution                                              52%                48%
    Increased construction quality
    Increased flexibility of requirements
    Flexibility of works execution schedule
    Increased costumer satisfaction
Enhancement of construction methods
for popular housing
    Product blueprint definition developed              PSV: R$ 7.2 billion (100%)
    together with suppliers                             R$ 5 7 billion (% Living)
                                                           5.7
    Land bought to fit the product                      81 plots of land
    Price defined by product (not by sq.m.)             Land Swaps: 66%
    In-house
    In ho se and trained labor
    15% cost reduction expected
                                                                                           32
Living Environment

     Customer Service Platform                 Engineering                                                    Sales
                                                  Monitoring of the
                                                           g                                                     Termination of
                                                  construction works                                             agreements
Centralizes all phases of the process,            Technical visits                                               Sales terms and
from the time a client buys a property until      Condominium meetings                                           conditions
he/she pays the last installment.                 Technical assistance                                           Sales office
                                                                                                                 Price table
                                                                                 Customer                        Participation in
Reduces risks and consolidates the                                                                               promotional campaigns
                                                                                  Service
relationship with clients
                                                                                 Platform
                                               Financial                                                      Legal
Increases client assistance capabilities
                                                  Credit Analysis                                                Termination of
                                                  Financial products                                             agreements
                                                  Collection                                                     Purchase agreements
        Financing Availability                    Price table
                                                  On lending schedule
                                                            g

Strengthened relationship with the
Housing Financing System (SFH) and
Caixa Econômica Federal (CEF)
                                                                         Development
CEF correspondents serve all Brazilian
                                                                            Marketing
regions                                                                       ► Communication
                                                                              ► Research
B d availability of funds under the
Broad    il bilit f f d     d th                                              ► Brochures
                                                                              ► Promotional campaigns
Minha Casa, Minha Vida Program
                                                                              ► Campaigns
                                                                            Indication/Benefits/Performance




                                                                                                                                         33
CEO Salvador Shopping
Salvador - BA
Launched in September 2009




                             Outlook for the
                                 Future:
                                 F t
                                Cyrela s
                                Cyrela’s
                              Revised Plan
Excellent Track Record of Growth


                Launches                                 Pre - Sales Contracts
                (R$ million)                                     (R$ million)




                                5,393
                                          4,827                                         4,612
                                                                                4,392

                  2,917
                                                                     1,915
972    1,211
       1 211                     3,428    3,332   949    1,023                          3,074
                                                                                2,815
                     1,924
        1,004                                                        1,369
700                                               713     755

2004    2005         2006        2007     2008    2004   2005        2006       2007    2008
            Cyrela             Partners                     Cyrela           Partners



       Consistent track record of growth in Launches and Pre-sales Contracts
                                                                                                35
Growth Opportunities Ahead

    1             Ride the exceptional growth of the low-income segment in Brazil




    2             Increase momentum of national expansion




    3             Profitability driven growth in our core market



                        Launches (R$ billion)(1)                                         Sales (R$ billion)(1)
                                              6.9 - 7.7                                                          6.2 - 6.9


                                                                             4.6 - 5.1
                 4.6 5.1
                 46- 51




                  2009E                        2010E                          2009E                              2010E


(1) Guidance range – Considering 100% stake
                                                                                                                             36
Xxxx

Guidance 2009 - 2012

                       Launches and Sales for 2009 - 2012

      Guidance             2009           2010           2011           2012


      Launches           4.6 to 5.1     6.9 to 7.7     8.3 to 9.1    10.5 to 11.5
      (R$ billion)


       Sales             4.6 to 5.1     6.2 to 6.9     7.6 to 8.4    9.7 to 10.7
      (R$ billion)


      % Cyrela           70% a 75%      73% a 77%       > 75%          > 75%


            Living’s stake                       Margins over net revenue
                                                      for 2009 - 2012
                     % Living
         2009         from 30% to 35%          Gross margin         33% to 37%
         2010         from 35% to 40%
         2011         from 40% to 45%
                                               EBITDA margin        20% to 24%
         2012         from 45% to 50%          Net margin           14% to 16%


                                                                                           37
Landbank Analysis – Acquisition of Land
                  Cyrela’s Landbank Maturity to                                 Living’s Landbank Maturity
                       Launch (R$ million)                                  to Launch (100% stake - R$ million)1


                                                            16,900


                                                                                  2,900
                                                                                  2 900
                                                                                   500
                                                                        1,600
                                                                                  2,400      821                    800
                                                                        1,600                          341


                          7,700                                         2009E     2010E     2011E     2012E    Post 2012
                          809
                                                                           Mid-High Income Landbank Maturity
                                                                            t Launch (100% stake - R$ million)1
                                                                            to L    h       t k        illi )
      5,100

                                     4,241                                                                         16,100


                          6,891
                          6 891
                                                                                  4,800
      5,100                                                                        309
                                                   1,880                3,500               3,420

                                                                                  4,491
                                                                                  4 491                1,539
                                                                                                       1 539
                                                                        3,500

     2009E            2010E         2011E          2012E   Post 2012
      Existing Landbank           Incremental Purchases                 2009E     2010E     2011E     2012E    Post 2012

                                             70% of proceeds to be directed to landbank
(1) Potential PSV, 100%
                                                                                                                            38
Landbank Analysis – as of September 30, 2009
                 CYRELA Region breakdown(1)                                     LIVING Region breakdown(1)



                South +                                                                               São Paulo 
             Southeast 7.7%                                                                         (Metropolitan) 
                                           São Paulo                   South + 
                                                                                                        10.3%
                                                                                                        10 3%
                                         (Metropolitan)               Southeast 
Northeast                                    19.1%                      24.7%
 18.3%


                                                São Paulo
                                               (Other Cities) 
                                                  10.3%          Northeast 
North                                                             10.2%                                            São Paulo 
4.0%                                                                                                             (Other Cities) 
                                                                                                                     32.3%

                                                                        North
                                                                         1.0%


                       Rio de Janeiro                                         Rio de Janeiro 
                           40.7%                                                  21.5%




                              Landbank to be acquired in all geographical regions
 (1) PSV, 100%
                                                                                                                             39
2016 Olympic Games
       Strategically positioned landbank in Rio de Janeiro

                         Barra da Tijuca - RJ                       R$ 14bn of PSV in Rio de Janeiro of which almost
                                                                                             Janeiro,
                                                                    90% is located in Barra da Tijuca

                                       Cidade
                                       C                            Barra da Tijuca was chosen as the location for the new
                                       Jardim      Centro
                                                Metropolitano       Olympic Games facilities, such as the Olympic Training
                                                                    Center and the Olympic Village. Such facilities and their
                                                                    benefiting to the region will endure for long after the
                                                      Gleba F
                                                                    Olympic Games
                 Future facilities of
                  Olympic Games
                       2016                                         Until 2016, more than R$100 billion of investments
                                                                    expected for the project
                                                        Península
                                                        P í    l
                                                                        ►   The civil construction sector is expected to
                                                                            account for approximately 10% of the
                                                                            investments
                                                                        ►   The local government announced R$ 11.4 bn
                                                                                                                 $
                                                                            investment in transportation infrastructure to
                                                                            facilitate access to the region
Source: Rio 2016 official Olympic project


    Cyrela is the best positioned real estate company to profit from the 2016 Olympic Games
                                                                                                                              40
Cyrela’s Investment Plan

Use of proceeds 100% related to growth
                      Uses (R$ million)                                 Sources (R$ million)




                                                                                             850
                                    1,000




                                                 2,500                                                 2,500
                                                                                1,000
                      900




                                                                     350
     600
                                                          300


Working capital       Cost of       Cost of      Total   Sale of     Bond      Follow-on     Other     Total
                  Landbank (Low Landbank (Mid-
                                          (Mid           stake in   Offering    Offering   Financing
                     Income)     High Income)              Agra


                                                                                                               41
Quinta dos Moinhos
Canoas - RS
Launched in August 2009




                          3Q09 R
                               Results
                                   lt
Living’s Launches
        6 thousand units launched in 9M09 and 78% sold up to Oct/09

                                                                     Average
                                                                     A
           Projects                  PSV                                                      % sold
                                               Units     % Cyrela      price        MCMV
                                   (R$ thd)                                                 until Oct/09
                                                                    (R$thd/un.)
  9M09                               794,160   5,967      77.2%               133   49.6%      78%

 3Q09                                450,897   3,501      79.1%           129       57.2%      79%
Fatto Jardim Botanico - Phase 1       52,053
                                      52 053       379     79.0%
                                                           79 0%        137          23         98%

Fatto Sport Faria Lima Phase 2        35,609       304     79.0%        117          304        70%

Fatto Sport Faria Lima – Phase 3      35,609       304     79.0%        117          304        55%

Avanti Clube                          50,824       400     50.0%        127          267        52%

Liber Res - Phase 2                   37,909       390    100.0%         97          390        41%

Vitoria Pirituba Gaivota              24,847       264     60.0%         94          264        97%

Dez Curuça                            21,294       252     50.0%         85          252       100%

Parque Dos Sonhos Buritis             16,202       200     50.0%         81          200       100%

Ecoparque - Belem - Phase 1           41,200       255    100.0%        162           -        100%

Ecoparque - Belem – Phase 2           41,200       255    100.0%        162           -         83%

Fatto Mansoes                         49,310       228     91.6%        216           -        100%

Alcance Niteroi                       19,781       114    100.0%        174           -        100%

Buritis Cond Clube - Phase 2          25,057       156     60.0%        161           -         74%


                                                                                                           43
R$ 941 mm of Living launches scheduled for 4Q09*
        2,539 units and R$ 264.5 million already launched in 4Q09 until October 30, 2009

        Estimate launches for the year: 14 thousand units
                                  y                                           Launches in October 2009

                                                                               Ventura Clube Morar – Porto Alegre - RS
    Living Projects                                                            Launched in Oct/09
                                                                               PSV: R$ 35 million
         to be                      Region        PSV        Units
                                                                               Units: 250
     Launched in                                R$ million
                                                                               Average price: R$141 thd/ un.
         4Q09
            26              BRASIL                941.0      8,133             Único Guarulhos – São Paulo
                                                                               Launched in Oct/09
             10             São Paulo             393.5      3.601             PSV: R$ 223 million
                                                                               Units: 2.380
              5             Rio de Janeiro        233.9
                                                  233 9      1.996
                                                             1 996             Average price: R$94 thd/ un.
                                                                                                        un

             4              Rio Grande do Sul     100.4      670               Parque dos Sonhos – Jacarandá – São
                                                                               Paulo
             2              Espírito Santo          8
                                                   78.7      590               Launched in Oct/09
                                                                               PSV: R$ 30 million
             2              Paraná                 47.6       328              Units: 355
                                                                               Average price: 84 thd/un.
             2              Bahia                  66.9       732

             1              Pará                   20.0      216




* Forecast according to guidance                                                                                         44
Living’s Launches and Sales – 3Q09 and 9M09

                       Launches                                                               Pre-Sales
                        (R$ million)                                                          (R$ million)
                              1,459

                               441                                                                     1,171

                                                                                                        369
                                               794                                                               808
    736
                                               181                                                               215
    217                                                                         474
                 451          1,018                                                         440
                  94                                                            139         107         802
    518                                        613                                                               593
                 357                                                           335          333

   3Q08          3Q09         9M08           9M09                             3Q08          3Q09      9M08       9M09
                  Living        Partners                                                    Living
                                                                                            Li i      Partners
                                                                                                      P t

                                                 Average Sales Speed

          3Q08                             47%                         7%      7%      8%     6%     75%

          4Q08                       35%                 9%       7%     4% 55%

          1Q09                 29%                                     41%                   1%72%

          2Q09                         41%                                       37%                   78%

          3Q09                                     61%


                       In 3 months         In 6 months   In 9 months         In 12 months     In 15 months
                                                                                                                        45
Living’s Lanbank – 3Q09

         PSV:                                                             Landbank distribution

           R$ 6.8 billion (100%)
           R$ 5 4 billion (% Living)
               5.4
                                                                                        MCMV
                                                                                         55%      Others
         76 plots of land                                                                          45%

         69% paid through swaps

                                                 Landbank by unit price
                                  60,000
                                                                          24,248           53,457
                                  50,000

                                  40,000

                                  30,000                  18,267

                                  20,000
                                            10,942
                                  10,000

                                      -
                                             Up to          From            From               Total
                                           R$ 100 thd   R$ 100 thd to   R$ 130 thd to
                                                         R$ 130 thd      R$ 200 thd

PS.: Calculations done in units                                                                            46
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009
Cyrela - Corporate Presentation - November 2009

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Cyrela - Corporate Presentation - November 2009

  • 1. Ile St Louis São Luis – MA Launched in August 2009 Company Presentation p y November 2009
  • 2. Auge São Paulo – SP Launched in September 2009 Contents Company Overview Brazilian Real Estate Sector Overview Market Intelligence and Launched projects g p j Living Outlook for the future 3Q09 Results Appendix
  • 3. Novo Jardim Family Resort Santo André - SP Launched in September 2009 Company Overview O i
  • 4. Cyrela at a Glance: Scale, Execution Capacity and Leadership Largest homebuilder in Brazil, with almost 50 years of experience Brazil Nationwide footprint in all income-levels, with proven capacity to develop market segments Fully integrated real estate developer from construction to sales Strong operating performance, with 48,400 units sold from 2005 to 9M09 representing a PSV of R$ 14.9 bn (Cyrela+partners) or R$ 10.2 bn (Cyrela’s stake) Outstanding track-record with unique positioning to capture growth opportunities 4
  • 5. Solid Track-Record of Growth and Value Creation Strengthening Market Position Accelerating Geographic and Segment Expansion Value created for shareholders since IPO (Base 100) - R$ (1) 400 345 US$100 invested in the 4,850(2) 300 IPO would be worth 4,612 211 US$ 432 currently 200 210 4,392 4 392 100 100 100 100 0 Sep-05 Mar-06 Sep-06 Mar-07 Sep-07 Mar-08 Sep-08 Mar-09 Sep-09 CYRELA (CYRE3+CCPR3) Ibovespa CYRE3 (Since FO 2006) 1,915 1,023 Pre-Sales Contracts (R$ million, 100%) Follow-On BRL Debenture 2000: Cyrela Launching of the CCP’s spin-off offering (US$382mm) first Living product starts (US$190mm) partnership 2002: Cyrela 1994: Brazil Realty, with RJZ in RJ acquires IRSA’s a JV with IRSA Sale of (George Soros), is Soros) stake in Brazil stake in Agra founded Realty BRL Debenture (US$170mm) BRL Offering 1998: Brazil Merger of (US$280mm) Debenture Realty issues Cyrela with Offering 1962: international Brazil Realty (US$247mm) Cyrela is 1996: Brazil b d bond founded Realty goes Joined public IPO Ibovespa (US$397mm) Index 1962 - 2004 2005 2006 2007 2008 2009 (1) Source: Bloomberg, as of 13 October, 2009 (2) Considering mid point of 2009 guidance (from R$4.6bn to R$5.1bn – 100% stake) 5
  • 6. What has been done since the IPO PSV (R$ million) Sales (R$ million) Units Launched 4x 5x 4,612 , 7x 16,875 4,827 Achievements1 1,211 1,023 2,538 2005 2008 2005 2008 2005 2008 CAGR 2005 – 2008 Sound track record in innovation Strong growth PSV: 59% (total 299%) ► Partnerships and Joint Ventures and unparallel Sales: 65% (total 351%) ► Geographical expansion execution ► In house sales force Units launched: 88% (total 565%) ► Establishment of Living in 2006 g Management team fully professionalized with deep knowledge of the real estate industry Management support Committee driven decision making process Leverage upon partnership on local industry expertise Strongest balance sheet in the industry, with capacity to grow in segments from low-income to Solid balance mid-high sheet and EBITDA margin among the highest of industry ( g g g y (Integrated business model) g ) profitability Capacity to achieve excellent results with very low leverage compared to the Industry (1) 100% stake 6
  • 7. Geographical Expansion Presence in 55 cities in 17 states of Brazil and in Buenos Aires in Argentina 2005 2006 2009 RR RR RR AP AP AP AM MA CE AM MA CE AM MA CE PA PA PA RN RN RN P P PB PI B PI B PI PE PE PE AC AC AC TO AL TO AL TO AL RO SE RO SE RO SE BA BA BA MT MT MT GO DF GO DF GO DF M M M G G G MS ES MS ES MS ES SP SP SP R R R J J J PR PR PR SC SC SC RS RS RS Buenos Aires + + % of Brazilian GDP Covered 47.9% 80.5% 90.5%(1) In a short period of time, Cyrela has achieved tremendous success time in its geographical growth strategy (1) Considers 2007 data, most recent. Source: Company and IBGE. 7
  • 8. Prospects of strong growth with unique track record Increase in sales speed in most relevant income segments: pre-crisis levels Living benefits from Housing Program “Minha Casa Minha Vida” Minha Casa, Vida Lowest interest rate in 50 years will be positive for the activity in the mid-high segments Low execution risk ► 15 construction platforms distributed throughout Brazil ► Constructed area grew from 232 thousand sq.m in 2005 to 1.0 mm sq.m in 2008 ► Conservative cash-flow management g ► 161 construction sites ongoing in Sep/2009 Constructed Area per Year Units Delivered Private area in thousands of sq.m. Historical Historical (until 9M09) Forecasted Forecasted 18,682 11,577 1,917 7,661 1,723 1,002 594 372 3,178 3,915 232 2,211 2 211 2005 2006 2007 2008 2009e 2010e 2007 2008 2009e 2010e Source: Company data 8
  • 9. Cyrela Brazil Realty 2005 2006 2007 2008 9M09 Launches R$ 1.2 bn R$ 2.9 bn R$ 5.4 bn R$ 4.9bn R$ 3.1bn Pre-sales R$ 1.0 bn R$ 1.9 bn R$ 4.4 bn R$ 4.7bn R$ 3.0bn Landbank 3.0 mm sq.m. 4.9 mm sq.m. 8.8 mm sq.m. 11.2 mm sq.m. 11.9 mm sq.m. Low income units 0 720 6.7 thd 10.5 thd 6 thd Gross Margin 48.5% 42.2% 41.2% 40.1% 34.9% EBITDA Margin* 27.1% 22.3% 22.9% 20.1% 22.6% Net Margin* 23.2% 21.7% 24.7% 13.7% 18.0% # Homebuilders listed 2 4 21 20 20 Market Cap Cyrela R$ 2.4 bn R$ 4.5 bn R$ 8.6 bn R$ 3.3 bn R$ 8.5 bn Market Cap of the Industry R$ 6.0 bn R$ 10.0 bn R$ 48.1 bn R$ 13.4 bn R$ 40.9 bn Number of cities 3 8 47 55 55 Employees 202 327 529 514 776 Seller Brokers & Team 100 200 743 637 1,150 *Adjusted for IPO expenses and according to BR GAAP before Law 11,638 until 2007. 9
  • 10. Vitória Pirituba Gaivota São Paulo, SP Launched in September 2009 Brazilian Real Estate Sector Overview
  • 11. Favorable Macroeconomic Conditions Mortgage Loans Funding (R$ bn) Unemployment Rate Variation (‘000 people) 45.8 250 2,200 40.6 200 2,000 15.0 150 1,800 10.5 100 1,600 25.2 50 1,400 6.9 0 1,200 1 200 16.3 -50 1,000 10.4 30.0 30.8 Level (th people) (LHS) 7.0 -100 800 5.2 6.9 18.3 Accumulated Last Twelve Months (RHS) 4.6 4.8 5.0 5.5 -150 600 3.3 2.7 3 2.8 3.9 9.3 1.9 1.9 1.8 2.2 3.0 4.9 -200 400 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009E -250 200 May-08 May-09 Jan-08 Sep-08 Dec-08 Jan-09 Jun-08 Jun-09 Feb-08 Feb-09 Nov-08 Oct-08 Aug-08 Aug-09 Apr-08 Apr-09 Jul-08 Jul-09 Mar-08 Mar-09 SBPE FGTS GDP Growth (%) Consumer Confidence Index 125 Consumer confidence 5.7 120 returns to pre-crisis level 5.1 8 4.8 Sep/09 p 115 11 111.0 4.0 111.7 110 3.2 105 100 95 0.1 90 2005 2006 2007 2008 2009E 2010E Jul-07 Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Despite international crisis, macroeconomics in Brazil shows strong recovery trends Source: Brazil Central Bank, IBGE, Credit Suisse, FGV . 11
  • 12. Real Estate Financing: Still a Considerably Small Percentage of Brazilian GDP g Total Real Estate Financing in Brazil (R$ billion) Total Real Estate Financing (% of GDP) 76.9 83.1% 63.3 59.2% 58.6% 45.9 45 9 35.7 51.3% 29.1 24.4 25.1 25.8 25 8 32.2% 32 2% 18.0% 13.0% 2002 2003 2004 2005 2006 2007 2008 Jul-09 2.4% Source: Central Bank of Brazil, Caixa Econômica Federal, and Câmara Source: Spanish Mortgage Association, Central Bank of Brazil and ABECIP Brasileira da Indústria da Construção (Nov/08) Significant potential growth for Real Estate financing in Brazil 12
  • 13. A Booming Real Estate Market: Strong Fundamentals The Brazilian real estate market is poised to benefit from a favorable environment High Demand for Housing Low Supply of Units 1. Population and families 3. Rising Housing Deficit(1) Expanding the market for housing (Millions of housing Unit) In millions Persons Year Families Population per family 7.2 6.7 5.4 2007 60.3 189.1 3.1 2017E 75.6 75 6 211.2 211 2 2.8 28 2030E 95.5 233.6 2.4 1991 2000 2009 2. Monthly income evolution 4. Number f Home M 4 N b of H Moves per P Person Low number of home moves as compared to other countries In millions of families Growth rate 2007 2030(E) (%) per year Brazil 1.8x up to R$ 1,000 31.7 29.1 -0.4% from R$ 1,000 to R$ 8,000 27.2 60.4 3.9% Mexico 4.0x more than R$ 8,000 1.4 5.9 7.1% Total 60.3 95.5 2.0% G-7 9-10x Cy e a s uniquely positioned Cyrela is u que y pos t o ed to take advantage o t e pos t e Brazilian real estate e ta e ad a tage of the positive a a ea environment o e t (1) Considers demand in excess of supply. Source: IBGE (Brazilian Institute of Geography and Statistics), Brazilian Central Bank, Ministry of Cities, Fundaçāo Pinheiro, FactSet, Bloomberg, Fundação Getulio Vargas and Wall Street Research. 13
  • 14. Impact for Cyrela: The future is now 2005 2008 2009 Incremental I t l Incremental I t l Monthly Demand (vs. 2005): Monthly Demand (vs. Monthly Income +24.0 mm families Income 2005): Income > R$ 4,800 10% 5.7 mm families +35.7 mm families > R$1,400 > R$1,400 47% 28.8 mm families 41.4 mm families From R$1,200 to R$4,800 39% 22.4 mm families 67% < R$1,200 53% < R$1,400 ~30 million 51% 29.3 mm families 32.1 mm families families < R$1,400 33% 20.4 mm families TR+14% TR+9% TR+5%1 10 years 30 years 30 years Minimum monthly family income to purchase a property Cyrela s Cyrela’s Lowest R$ 110,000.00 R$ 90,000.00 R$ 80,000.00 Ticket per unit available Cyrela s Cyrela’s addressable market increased from 10% to 67% of the Brazilian population in the past years Source: IBGE (Brazilian Institute of Geography and Statistics). (1) Within Minha Casa Minha Vida Program 14
  • 15. Low-Income Segment: Renewed Growth Opportunity Minha Casa, Minha Vida program - Potential demand growth in Brazil Low mortgage rates + incentives = high affordability levels Monthly rent vs. mortgage payment already in tandem Purchase Power – Impact of Minha Casa, Minha Vida Program Before the Program Post-Program 121,896 117,107 109,509 105,199 90,400 92,700 92 700 93,309 93 309 93 291 97,122 93,291 78,800 81,382 84,735 71,320 64,505 57,083 59,104 3MW 4MW 5MW 6MW 7MW 8MW 9MW 10MW Max monthly installment 419 558 698 837 977 1,116 1,256 1,395 (R$) Effective rate 5.12% 5.12% 5.12% 6.12% 8.47% 8.47% 8.47% 8.47% (p.a.) Minha Casa, Minha Vida program enables millions of families to purchase houses Source: IBGE (Brazilian Institute of Geography and Statistics) and Company data 15
  • 16. Economic Segment : Sector’s Outlook 3 MW 3 MW 4 MW 4 MW 5 MW 5 MW 6 MW 6 MW 7 MW 7 MW 8 MW 8 MW 9 MW 9 MW 10 MW 10 MW Minimum wage (R$) 1,395 1,395 1,860 1,860 2,325 2,325 2,790 2,790 3,255 3,255 3,720 3,720 4,185 4,185 4,650 4,650 Max Installment - 30% (R$) 419 419 558 558 698 698 837 837 977 977 1,116 1,116 1,256 1,256 1,395 1,395 Effective Rate (p.a.) 5.12% 5.12% 5.12% 5.12% 8.47% 5.12% 8.47% 6.17% 8.47% 8.47% 8.47% 8.47% 8.47% 8.47% 8.47% 8.47% Term (months) 300 300 240 300 240 240 240 240 240 240 240 240 240 240 240 240 Loan to Value (%) 90% 90% 100% 90% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% Maximum financing (R$) 50,699 55,800 61,705 74,400 59,104 83,700 71,320 91,309 81,382 84,735 93,291 97,122 105,199 109,509 117,107 121,896 Maximum Incentive (R$) 6,384 23,000 2,800 16,000 - 9,000 - 2,000 - - - - - - - Purchase Power (R$) 57,083 78,800 64,505 90,400 59,104 92,700 71,320 93,309 81,382 84,735 93,291 97,122 105,199 109,509 117,107 121,896 With the Program Before the Program Source: IBGE (Brazilian Institute of Geography and Statistics) and Company data 16
  • 17. Financing: Interest and Term Impact Monthly Installment (R$) Model: Loan Term (years) 10 15 20 25 30 1377 1152 1057 1011 987 Unit Value: R$ 120,000 12% 11% 1322 1091 991 941 914 %) terest Rate (% 10% 1269 1032 926 872 842 Loan-To-Value: 80% 9% 1216 974 864 806 772 8% 1165 917 803 741 704 7% 1115 863 744 679 639 Loan: R$ 96,000 6% 1066 810 688 619 576 Real Int 5% 1018 759 634 561 515 4% 972 710 582 507 458 Mortgage Effort: 30% 3% 927 663 532 455 405 2% 883 618 486 407 355 Example Minimum Wages Required (monthly salary) Rental : R$800 per month Loan Term (years) Annual Yield: 8% 10 15 20 25 30 12% 10 8 8 7 7 11% 9 8 7 7 7 Equivalent to Loan Instalment with Real Interest Rate (%) 10% 9 7 7 6 6 Real Interest Rate at 8% 9% 9 7 6 6 6 and 20 years term. 8% 8 7 6 5 5 7% 8 6 5 5 5 6% 8 6 5 4 4 5% 7 5 5 4 4 4% 7 5 4 4 3 3% 7 5 4 3 3 2% 6 4 3 3 3 17
  • 18. Dez Curuçá São Paulo, SP Launched in July 2009 Market Intelligence and Launched Projects j
  • 19. Sales Performance – Residential – 2009 São Paulo Rio de Janeiro (R$ million) (R$ million) 8,289 4,891 2,556 1,604 Market Cyrela 1,386 ,386 961 961 221 Launches in SP Pre-Sales in SP Launches in RJ Pre-Sales in RJ 17% 20% 15% 14% Launches Pre-Sales Launches Pre-Sales Cyrela’s stakes indicate strong sales performance in the main markets Source: Cyrela MID 19
  • 20. Launches 2004 to 2009 - SP Metropolitan Region Units Potential Sales Value (R$ million) 65,833 17,822 17,422 58 512 58,512 9,611 7,030 5,052 7,282 18,864 11,274 19,074 9,0 34,345 35,350 9,607 33,153 28,782 3,688 4,051 1,886 7,997 3,939 8,290 7,326 3,320 5,626 3,224 8,567 10,129 9,040 2,012 5,307 28,987 3,119 21,524 3,894 3 894 8,937 10,269 3,242 3,204 12,721 15,517 1,977 4,072 4,154 11,821 1,803 1,928 2,688 2,376 11,314 10,884 8,449 8,371 6,710 1,098 1,117 753 972 760 698 2004 2005 2006 2007 2008 9M09* 2004 2005 2006 2007 2008 9M09* Luxury > R$ 3 500/ L 3,500/sq.m. Middle > R$ 2,700/sq.m., <3,500/sq.m. Economic > R$ 1,900/sq.m., <2,700/sq.m. Super-Economic < R$ 1 900/ S E i 1,900/sq.m. Source: Cyrela MID * 2009 price ranges updated to: Luxury > R$4500 sq.m., Middle > R$ 3000 sq.m. < 4500 sq.m., Economic > R$2,200 sq.m < R$ 3,000 sq.m and Super-Economic < R$ 2,200 sq.m. 20
  • 21. Launches 2004 to 2009 - RJ and Region Units Potential Sales Value (R$ million) 15,911 4,121 13,350 3,446 4,419 3,147 2,363 2 363 1,894 1 894 9,933 1,272 2,354 2,443 7,831 3,885 4,484 2,945 1,729 6,856 7,019 1,734 883 1,226 1,491 , 1,761 1,353 975 , 1,225 3,666 1,677 2,511 4,559 509 5,800 659 690 391 3,570 1,141 2,680 980 791 3,080 273 759 577 1,142 2,449 200 659 907 1,171 1,302 1,657 221 219 211 249 506 203 69 2004 2005 2006 2007 2008 9M09 2004 2005 2006 2007 2008 9M09 Luxury > R$ 3 500/ L 3,500/sq.m. Middle > R$ 2,700/sq.m., <3,500/sq.m. Economic > R$ 1,900/sq.m., <2,700/sq.m. Super-Economic < R$ 1 900/ S E i 1,900/sq.m. Source: Cyrela MID 21
  • 22. Successful Track Record: São Paulo and Rio de Janeiro Menara Cosmopolitan São Paulo Rio de Janeiro Launched: Aug/09 Launched: May/06 L h d M /06 80% sold on the first day 94% sold upon launch PSV R$ 81.3 million PSV R$ 19.5 million 254 units 114 units 91% sold until Oct/09 100% sold until Oct/09 Reserva J di R Jardim NovAmérica (several phases) Rio de Janeiro São Paulo Launched: Oct/07 Launched: Mar/09, May/09, Aug/09 and Sep/09 g p Antecipated phases due to high demand PSV R$ 599.0 million 1,528 units PSV R$ 368.2 million 86% sold until Oct/09 1,292 units 74% sold until Oct/09 Escritórios Europa CEO (1st phase) São Paulo Rio de Janeiro Launched: J l/08 La nched Jul/08 Launched: Aug/09 L h d A /09 100% sold in the launch 90% sold in the first month weekend PSV R$ 112.9 million PSV R$ 55.5 million 55 5 illi 469 offices ff 254 units 92% sold until Oct/09 22
  • 23. Successful Track Record: Other regions Urban Concept Residence and Commercial Le Parc Porto Alegre – RS g Salvador – BA Launched: Oct/08 Launched: Nov/07 62% sold in the first month 739 units sold in 6 days PSV R$ 105.9 million PSV R$ 502.5 million 180 flats and 204 offices 990 units 83% and 92% sold until 89% sold until Oct/09 Oct/09 Acqua Verde Île Saint Louis (1st phase) Curitiba - PR São Luis - MA Launched: Dec/08 Launched: Aug/09 PSV R$ 72.9 million PSV R$ 57.8 million 215 units 60 units 85% sold until Oct/09 90% sold until Oct/09 Grand Lider Olympus (phases I/II/III) Vitrine Belo Horizonte – MG Belém – PA Launched: Jun/06, Aug/07, Launched: Jun/09 May/08 PSV R$ 37.0 million PSV R$ 347.9 million 50 units 246 units it 96% sold until O t/09 ld til Oct/09 85% sold until Oct/09 23
  • 24. Cyrela’s Highlights NovAmérica with PSV of R$ 691.8 million, totally launched in 2009 with 1.7 mil units and 80% sold until November/2009 NovAmérica Office Park Varanda NovAmérica Launched in Mar/09 Launched in Aug/09 PSV: R$ 195.1 million PSV: R$ 91.6 million Usable area: 32,979 sq.m. Usable area: 23,526 sq.m. Units: 548 Units: 324 NovAmérica Colorado NovAmérica California Residence Park Collection Launched in Mar/09 Launched in Sep/09 PSV: R$ 82.6 million PSV: R$ 139.1 million Usable area: 24,961 sq.m. Usable area: 36,696 msq.m. Units: 216 Units: U it 224 NovAmérica Florida NovAmérica Michigan Residence Park Launched in Oct/09 Launched in May/09 PSV: R$ 92.8 million PSV: R$ 90.6 million Usable area: 24,961 msq.m. Usable area: 24,961 sq.m. , q Units: U it 216 Units: 216 24
  • 25. Living Proven Success Track Record - Living Minas Village Vita Praia Belo Horizonte – MG Salvador – BA Launched: Apr/08 Launched: Feb/08 First Living Project in 100% sold Minas Gerais PSV R$ 37.7 million PSV R$ 49.9 million 49 9 illi 264 units 386 units Avanti Vida Paradiso São Paulo Serra – ES Launched: Jun/09 Launched: Oct/07 60% sold in the day of 100% sold in 20 days launch l h PSV R$ 46.5 million PSV R$ 60.3 million 400 units 383 units 89% sold until Oct/09 25
  • 26. Fatto Jardiim Botânico São Paulo – SP Launched in September 2009 Living
  • 27. Paving the way to grow fast with a lean structure 1. Solid Track Record of Growth 7. Nationwide 2. Know-How of presence the Segment 3. Sufficient 6. Management Team Supply of Raw with more than 15 ith th Materials / years experience in Services and the low income Personnel segment 5. Secured 4. Landbank Already Financing Available 27
  • 28. Short Cycle Process Launch Go-ahead Financing Delivery 0 – 6 months Construction Pre-Launching 0M 4M 8M 12M 16M Up to 20M Product Engineering Living Corporate Environment Simple, standard and easily Use of “Lean Construction” Concept Servicing the client from purchase executed projects focused on low Assembly line onwards, through a single income segment. Standardization communication channel: the Reduction of waste and costs of: Customer Servicing Platform g Enhancement of construction ► Land acquisition In-house and trained sales force methods for popular housing ► Real Estate Development Financing availability through Caixa Increased productivity and quality ► Sales Econômica Federal g during works execution ► Construction Increased costumer satisfaction ► Customer Relationship Price defined by product (not by Prices from R$90,000 to R$ sq.m.) 200 000 200,000 15% cost reduction expected Units from 45sq.m. to 75sq.m Source: Company 28
  • 29. Low Income Operation Independent activity in all steps of the business: L d acquisition Land i iti C t ti Construction Real Estate Development Customer Relationship Sales 100% Financing with balance transfer Prices from R$90,000 to Prices from R$130,000 to Prices up to R$ 90,000 R$130,000 R$200,000 Living, Vitória, Dez, Parque dos Sonhos, Líber, Mérito and Avanti Clube Fatto, Avanti and Garden and Avanti Vida Units from 45sq.m. to 62sq.m. Units from 48sq.m. to 75sq.m. Units from 45sq.m. to 62sq.m. 1 parking space 1 parking space Parking P ki space optionalti l Eligible for Minha Casa Minha Vida Eligible for SFH financing Eligible for Minha Casa Minha Vida financing 80% financed financing 100% financed 100% financed Well shaped for the low-income segment Source: Company 29
  • 30. Economic Construction Concept ‘’Lean Construction’’ Concept Living’s Concept Market research Partners + R&D Center Simple standardized projects, easily executed, and focused on process management Product Technology Synergy gains from the integration of product development, technology and Production Architecture process production process Industrial management Better relationship between designers, Integrated process manufactures and construction management This new concept allowed Living to be competitive in the lower segments of g the pyramid 30
  • 31. Living’s Historical Figures Over 23,000 units launched from December/2006 to September/2009 Units launched Units sold 13,500 11,000 , 7,533 10,459 5,333 8,934 6,666 5,967 5 967 5,077 5,667 720 390 2006 2007 2008 2009E 2006 2007 2008 2009E Achieved Estimate Achieved Estimate Launches (R$ million)(1) Sales (R$ million)(1) 1,600 1,300 1,499 806 492 1,247 1 247 884 808 794 641 85 44 2006 2007 2008 2009E 2006 2007 2008 2009E Achieved Estimate Achieved Estimate 31 Note: 1 Considering 100% stake
  • 32. Living - Construction Method Use of “Lean Construction” Concept Landbank - Minha Casa, Minha Vida (units) Simple projects easily executed, with projects, executed September 30, 2009 repetitions, standardized and focused on management Assembly line Reduction of wastes and costs Increased productivity during works MCMV Others ti execution 52% 48% Increased construction quality Increased flexibility of requirements Flexibility of works execution schedule Increased costumer satisfaction Enhancement of construction methods for popular housing Product blueprint definition developed PSV: R$ 7.2 billion (100%) together with suppliers R$ 5 7 billion (% Living) 5.7 Land bought to fit the product 81 plots of land Price defined by product (not by sq.m.) Land Swaps: 66% In-house In ho se and trained labor 15% cost reduction expected 32
  • 33. Living Environment Customer Service Platform Engineering Sales Monitoring of the g Termination of construction works agreements Centralizes all phases of the process, Technical visits Sales terms and from the time a client buys a property until Condominium meetings conditions he/she pays the last installment. Technical assistance Sales office Price table Customer Participation in Reduces risks and consolidates the promotional campaigns Service relationship with clients Platform Financial Legal Increases client assistance capabilities Credit Analysis Termination of Financial products agreements Collection Purchase agreements Financing Availability Price table On lending schedule g Strengthened relationship with the Housing Financing System (SFH) and Caixa Econômica Federal (CEF) Development CEF correspondents serve all Brazilian Marketing regions ► Communication ► Research B d availability of funds under the Broad il bilit f f d d th ► Brochures ► Promotional campaigns Minha Casa, Minha Vida Program ► Campaigns Indication/Benefits/Performance 33
  • 34. CEO Salvador Shopping Salvador - BA Launched in September 2009 Outlook for the Future: F t Cyrela s Cyrela’s Revised Plan
  • 35. Excellent Track Record of Growth Launches Pre - Sales Contracts (R$ million) (R$ million) 5,393 4,827 4,612 4,392 2,917 1,915 972 1,211 1 211 3,428 3,332 949 1,023 3,074 2,815 1,924 1,004 1,369 700 713 755 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 Cyrela Partners Cyrela Partners Consistent track record of growth in Launches and Pre-sales Contracts 35
  • 36. Growth Opportunities Ahead 1 Ride the exceptional growth of the low-income segment in Brazil 2 Increase momentum of national expansion 3 Profitability driven growth in our core market Launches (R$ billion)(1) Sales (R$ billion)(1) 6.9 - 7.7 6.2 - 6.9 4.6 - 5.1 4.6 5.1 46- 51 2009E 2010E 2009E 2010E (1) Guidance range – Considering 100% stake 36
  • 37. Xxxx Guidance 2009 - 2012 Launches and Sales for 2009 - 2012 Guidance 2009 2010 2011 2012 Launches 4.6 to 5.1 6.9 to 7.7 8.3 to 9.1 10.5 to 11.5 (R$ billion) Sales 4.6 to 5.1 6.2 to 6.9 7.6 to 8.4 9.7 to 10.7 (R$ billion) % Cyrela 70% a 75% 73% a 77% > 75% > 75% Living’s stake Margins over net revenue for 2009 - 2012 % Living 2009 from 30% to 35% Gross margin 33% to 37% 2010 from 35% to 40% 2011 from 40% to 45% EBITDA margin 20% to 24% 2012 from 45% to 50% Net margin 14% to 16% 37
  • 38. Landbank Analysis – Acquisition of Land Cyrela’s Landbank Maturity to Living’s Landbank Maturity Launch (R$ million) to Launch (100% stake - R$ million)1 16,900 2,900 2 900 500 1,600 2,400 821 800 1,600 341 7,700 2009E 2010E 2011E 2012E Post 2012 809 Mid-High Income Landbank Maturity t Launch (100% stake - R$ million)1 to L h t k illi ) 5,100 4,241 16,100 6,891 6 891 4,800 5,100 309 1,880 3,500 3,420 4,491 4 491 1,539 1 539 3,500 2009E 2010E 2011E 2012E Post 2012 Existing Landbank Incremental Purchases 2009E 2010E 2011E 2012E Post 2012 70% of proceeds to be directed to landbank (1) Potential PSV, 100% 38
  • 39. Landbank Analysis – as of September 30, 2009 CYRELA Region breakdown(1) LIVING Region breakdown(1) South +  São Paulo  Southeast 7.7% (Metropolitan)  São Paulo  South +  10.3% 10 3% (Metropolitan)  Southeast  Northeast  19.1% 24.7% 18.3% São Paulo (Other Cities)  10.3% Northeast  North  10.2% São Paulo  4.0% (Other Cities)  32.3% North 1.0% Rio de Janeiro  Rio de Janeiro  40.7% 21.5% Landbank to be acquired in all geographical regions (1) PSV, 100% 39
  • 40. 2016 Olympic Games Strategically positioned landbank in Rio de Janeiro Barra da Tijuca - RJ R$ 14bn of PSV in Rio de Janeiro of which almost Janeiro, 90% is located in Barra da Tijuca Cidade C Barra da Tijuca was chosen as the location for the new Jardim Centro Metropolitano Olympic Games facilities, such as the Olympic Training Center and the Olympic Village. Such facilities and their benefiting to the region will endure for long after the Gleba F Olympic Games Future facilities of Olympic Games 2016 Until 2016, more than R$100 billion of investments expected for the project Península P í l ► The civil construction sector is expected to account for approximately 10% of the investments ► The local government announced R$ 11.4 bn $ investment in transportation infrastructure to facilitate access to the region Source: Rio 2016 official Olympic project Cyrela is the best positioned real estate company to profit from the 2016 Olympic Games 40
  • 41. Cyrela’s Investment Plan Use of proceeds 100% related to growth Uses (R$ million) Sources (R$ million) 850 1,000 2,500 2,500 1,000 900 350 600 300 Working capital Cost of Cost of Total Sale of Bond Follow-on Other Total Landbank (Low Landbank (Mid- (Mid stake in Offering Offering Financing Income) High Income) Agra 41
  • 42. Quinta dos Moinhos Canoas - RS Launched in August 2009 3Q09 R Results lt
  • 43. Living’s Launches  6 thousand units launched in 9M09 and 78% sold up to Oct/09 Average A Projects PSV % sold Units % Cyrela price MCMV (R$ thd) until Oct/09 (R$thd/un.) 9M09 794,160 5,967 77.2% 133 49.6% 78% 3Q09 450,897 3,501 79.1% 129 57.2% 79% Fatto Jardim Botanico - Phase 1 52,053 52 053 379 79.0% 79 0% 137 23 98% Fatto Sport Faria Lima Phase 2 35,609 304 79.0% 117 304 70% Fatto Sport Faria Lima – Phase 3 35,609 304 79.0% 117 304 55% Avanti Clube 50,824 400 50.0% 127 267 52% Liber Res - Phase 2 37,909 390 100.0% 97 390 41% Vitoria Pirituba Gaivota 24,847 264 60.0% 94 264 97% Dez Curuça 21,294 252 50.0% 85 252 100% Parque Dos Sonhos Buritis 16,202 200 50.0% 81 200 100% Ecoparque - Belem - Phase 1 41,200 255 100.0% 162 - 100% Ecoparque - Belem – Phase 2 41,200 255 100.0% 162 - 83% Fatto Mansoes 49,310 228 91.6% 216 - 100% Alcance Niteroi 19,781 114 100.0% 174 - 100% Buritis Cond Clube - Phase 2 25,057 156 60.0% 161 - 74% 43
  • 44. R$ 941 mm of Living launches scheduled for 4Q09* 2,539 units and R$ 264.5 million already launched in 4Q09 until October 30, 2009 Estimate launches for the year: 14 thousand units y Launches in October 2009 Ventura Clube Morar – Porto Alegre - RS Living Projects Launched in Oct/09 PSV: R$ 35 million to be Region PSV Units Units: 250 Launched in R$ million Average price: R$141 thd/ un. 4Q09 26 BRASIL 941.0 8,133 Único Guarulhos – São Paulo Launched in Oct/09 10 São Paulo 393.5 3.601 PSV: R$ 223 million Units: 2.380 5 Rio de Janeiro 233.9 233 9 1.996 1 996 Average price: R$94 thd/ un. un 4 Rio Grande do Sul 100.4 670 Parque dos Sonhos – Jacarandá – São Paulo 2 Espírito Santo 8 78.7 590 Launched in Oct/09 PSV: R$ 30 million 2 Paraná 47.6 328 Units: 355 Average price: 84 thd/un. 2 Bahia 66.9 732 1 Pará 20.0 216 * Forecast according to guidance 44
  • 45. Living’s Launches and Sales – 3Q09 and 9M09 Launches Pre-Sales (R$ million) (R$ million) 1,459 441 1,171 369 794 808 736 181 215 217 474 451 1,018 440 94 139 107 802 518 613 593 357 335 333 3Q08 3Q09 9M08 9M09 3Q08 3Q09 9M08 9M09 Living Partners Living Li i Partners P t Average Sales Speed 3Q08 47% 7% 7% 8% 6% 75% 4Q08 35% 9% 7% 4% 55% 1Q09 29% 41% 1%72% 2Q09 41% 37% 78% 3Q09 61% In 3 months In 6 months In 9 months In 12 months In 15 months 45
  • 46. Living’s Lanbank – 3Q09 PSV: Landbank distribution  R$ 6.8 billion (100%)  R$ 5 4 billion (% Living) 5.4 MCMV 55% Others 76 plots of land 45% 69% paid through swaps Landbank by unit price 60,000 24,248 53,457 50,000 40,000 30,000 18,267 20,000 10,942 10,000 - Up to From From Total R$ 100 thd R$ 100 thd to R$ 130 thd to R$ 130 thd R$ 200 thd PS.: Calculations done in units 46