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CFA Institute Research Challenge
hosted by
CFA societies Florida
Florida International Universtity
Florida International University Student Research
This report is published for educational purposes only by students
competing in the CFA Institute Research Challenge.
[Automotive Retail, Consumer Discretionary Sector]
Date: 01/09/2014 Current Price: USD 49.00 Recommendation: BUY
Ticker: AN:NYSE Target Price: USD 52.26
HIGHLIGHTS
Good Point of Entry: We issue a BUY recommendation for AN with a target price of
52.36 and a holding period return of 6.65%. AN is expected to reach the target implied
share price by the second quarter of 2014, an implied return of 6.65%. AutoNation is the
strongest revenue generator in the automotive retail industry, with a market share in new
vehicle sales of 29.7%. The company is in a two-stage growth trend and it has experienced the
“first-stage” phase in the past 3 years. The significant growth, which has added value to the
shareholder, with EPS growing from USD 1.12 to 2.87 in the last twelve months for a total of
156% or 26% annualized will continue as the company enters the “second-stage” in the
forecasted period.
Strong Revenues: Strategic acquisitions, a highly effective management, and strong
competitive advantage has positioned AN to capitalize from the economic recovery.
The larger sales network of AutoNation has propelled continuous growth in new vehicle
market and allowed to capture tremendous growth from positive industry and macroeconomic
trends, with EBITDA growing from USD 461 million to 816.9 million, or 77% (or 15%
annualized) since 2009. As a result, AN has enjoyed strong revenue growth after the financial
crisis, with revenues growing 29.7%, from USD 13 million in 2008 to 17 million in the last
twelve months, or at a compound annual rate of growth of 5.3%. The company is currently in
the “first stage” of a two-stage growth trend
Key Revenue growth drivers: A Highly Effective Business Model with Strong
Operational Metrics
 The development and implementation of an enterprise information system will increase
productivity and overall efficiency. The introduction of an online web portal will create
synergies among stores and add value to the selling channels. As a result, AN will be
strategically positioned to capture demand from the forecasted economic expansion
 Large distribution channels through the acquisition of 19 companies in the past 4 years
have significantly increased market penetration and brand positioning. As AN develops the
brand further, the company will be able to retain repeat consumers and capture new
consumer entrants
Investment Risks: The main risks AN faces are from fluctuations in economic conditions,
solvency, and short-term liquidity. The high level of debt taken on by the firm in its expansion
efforts poses challenges if combined with an economic slowdown.
52-week Price
Range
40.30 - 54.49
Average Daily
Volume
880 540
As % of shares
outstanding
0.72%
Altman's
Z-Score
4.56
2013 Dividend
Yield
-
Shares
Outstanding
121 810 000
Market
Capitalization
5.99 B
Insiders
Holdings
47.33%
BV per Share 16.37
ROE 2013E 12.4%
Debt to Capital
2013E
66.41%
P/BV 3.04
P/E 17.39
Market Profile
AutoNation daily stock prices
Valuation DCF
Company
Comparables
Estimated
Price
50.96 53.56
Weights 50% 50%
Target
Price
52.26
Source: Team estimates
Source: Bloomberg
Source: S&P Capital IQ
AutoNation, Inc.
COMPANY ANALYSIS
AutoNation, Inc., through its subsidiaries, operates as an automotive retailer in the United
States. As of December 31, 2012, the company owned and operated 267 new vehicle franchises
from 221 stores located in the United States, predominantly in major metropolitan markets in
the Sunbelt region.
STRONG & DIVERSIFIED BUSINESS MODEL
Revenue Drivers. The company has highly diversified revenue drivers within the sale
of vehicles. The company’s stores sell 32 different new vehicle brands. It offers a diversified
range of automotive products and services, including new vehicles, used vehicles, ‘parts and
services,’ which includes automotive repair and maintenance services, as well as wholesale
parts and collision businesses, and automotive ‘finance and insurance’ products, which
includes the arranging of financing for vehicle purchases through third-party finance sources.
Segments. AutoNation operates in three main segments: Import, Domestic, and
Premium Luxury. The Import vehicles segment, which accounts for 37% of their revenues;
consist of retail automotive franchises that sell new vehicles manufactured by Toyota, Honda,
and Nissan. The Domestic vehicles segment, which account for 33% of revenue, comprise
retail automotive franchises that sell new vehicles manufactured primarily by General Motors,
Ford, and Chrysler. Additionally, the Luxury vehicles segment, which account for 29% of
revenue, comprises retail automotive franchises that sell new vehicles manufactured primarily
by Mercedes-Benz, BMW, and Lexus.
In addition to auto sales, AutoNation provides maintenance and Auto Parts Sales and Services,
and Finance & Insurance Services. Each service took a significant market share in its sub-
industry sector (see Figure 3). The full coverage of auto service generates the company the
ability to provide convenient one-station service to consumer and the ability to pursue pricing
competitively through package sales as a whole. Its pricing strategy is flexible. After Japan's
March 2011 earthquake, inventory of new vehicles in the U.S. bottomed at 49 days in June.
AutoNation applied a new pricing software tool to test customer reaction to online prices,
with an attempt to wire every possible dollar out of the increasing scarce Camrys and Accords.
As a result, AutoNation expanded its gross margins to 17%.
Strategy. The company seeks to create long-term value for stockholders by being the
most profitable automotive retailer in the United States. To achieve and sustain
operational excellence, the company is in the process pursuing the following strategies:
 Creating an industry-leading automotive retail consumer experience, both in stores and
online
 Improve operating efficiency by leveraging significant scale and cost structure
 Build a powerful AutoNation retail brand that represents a consistently superior
customer experience.
 Increase of market share through mergers and acquisitions
TALENTED MANAGEMENT WILL CONTINUE TO ADD VALUE TO THE COMPANY
AutoNation management has a combined 130 years of experience in the automotive
industry. Currently, the management team of AutoNation consists of five (5) members. The
team is led by Mike Jackson, Chairman of the Board of Directors and CEO since 1999, a
veteran of the auto industry. Prior to joining AutoNation, Mr. Jackson worked from 1990 to
1999 at Mercedes Benz USA, DaimlerChrysler AG’s North American operating unit, where
he held several high-ranking positions including Chief Executive Officer (1997-1999). Under
his leadership, AutoNation has become the leader in the auto retailer industry. The remaining
management team members brings a vast experience of the auto industry: Michael E. Maroone
and Alan J. McLaren, and automotive related corporate governance development: Jonathan P.
Ferrando. Cheryl Scully is the interim CFO due to Mike Short’s departure on January 7, 2014.
New
Vehicle
Sales
Used
Vehicle
Sales
Auto
Parts
Financial
Service
29.47% 14.65% 4.75% 32.72%
Figure 3. Bloomberg Data Terminal
2012 Sub-Market Share for AutoNation
Figure 4. Company data
77%
21%
2%
Ownership Structure
Ownership (Institutional)
Ownership (Retail & Other)
Ownership (Insider)
37%
33%
29%
1%
Breakdown of 2012 Revenues
Import Domestic
Premium Luxury Corporate and other
Figure 1. Company Data
Figure 2. Bloomberg Data Terminal
29.47%
25.30%
15.60%
14.20%
8.63%
6.11%
0.69%
AN
PAG
SAH
GPI
ABG
LAD
KMX
0% 10% 20% 30%
Market Share by 2012 Revenues
INDUSTRY ANALYSIS AND COMPETITIVE POSITIONING
In the U.S. Retail Automobile Industry, long-term vehicle sales growth is largely dependent
on population growth, public transportation usage, and economic conditions (we determined
per capita income predominately determines the turnover rate at which owners replace their
existing vehicles.)
POPULATION GROWTH DRIVING AUTOMOBILE DEMAND MOMENTUM
U.S. Automobile demand Outlook driven by steady Population Growth
According to the Census Bureau, growth in U.S. population will increase slightly over
1% per year for the next 12 years1 Given this estimate, we can project that there will be an
additional 37 million adults in the United States from 2013 to 2025. This adult population
growth would satisfy our projections that population growth will continue to drive demand
for the U.S. Automobile Industry.
Growth in the Household Sector will continue to drive Vehicle Demand through 2025
Since 1990, the number of U.S. households has grown at a rate consistent with the
annual growth rate in adult population of approximately 1.2%. Assuming that the number
of households continues to grow at a steady rate, the number of U.S. households can be
expected to reach 137 million by 2025. Based on trends in U.S. households and holding the
assumption of 2.07 vehicles per household (see Figure 6), it is estimated that by 2025, there
will be 271 million vehicles in the United States, an increase of 30 million (or 1%
annualized) growth from 238 million in 2012. (See Appendix 5 for Vehicle Demand
Projections.)
Vehicle use will remain as the primary form of transportation for years to come.
Analyzing the U.S. households as a whole, only 53 percent of U.S. households had
access to public transportation and less than 9% use it regularly (See Figure 5). With
close to 87% of individuals in households driving or carpooling to work, the operation
of a motor vehicle still remains as the primary mode of transportation for U.S. households
collectively. According to the 2007 American Household Survey, 29% of U.S. households
were located in central cities, compared with 71% percent living in suburbs and rural areas.
26% and 19% of Households located in central cities did not own a vehicle and used public
transportation regularly, respectively.
AUTO RETAIL INDUSTRY: DEMAND DRIVEN BY MACROECONOMIC FACTORS
The automotive retail industry is sensitive to changing economic environments. Various
macroeconomic factors affect sales of new vehicles and automotive retailer’s profits. The 5
major factors we analyze are GDP growth, Interest Rate, unemployment rate, consumer
confidence, and fuel price. We ran a correlation analysis to identify the relationship between
Car sales and these factors (see Figure 7). Originally, we believe auto sales and consumers’
confidence are highly correlated. However, it surprised us when the result of their
correlation coefficient is -0.149 (see Figure 8). We believe the main reason is because
consumer's confidence is a leading index of auto sales. Generally, high consumer confidence
should lead to higher sales. From our research, the consumer confidence in automobile
continues increasing since 2008 and reaches its highest level in 2012 and 2013. We believe this
supports our assumption that auto retail sales will increase in the coming period after 2013
(See Figure 9 for Auto Sales Forecast)
The other three factors are highly related to auto sales. Especially, GDP Growth and
unemployment, with a 0.717 and -0.865 correlation coefficient with auto sales, respectively.
The continuously improving economic environment since 2008 financial crisis strongly
1 Source: U.S. Census Bureau, Population Division, “Projections of the Population by Selected Age Groups and Sex for the
United States: 2010-2050,” August 14, 2008: (NP2008-T2). Based on current U.S. Population of 314 million
Figure 7. Team estimates, Bloomberg Industry Outlook
GDP Growth 0.717
Unemployment -0.865
Gasoline Price 0.654
Prime Rate 0.585
Consumer Confidence -0.149
Auto Sales
Figure 8. Team estimates, Bloomberg Data Terminal
0
0.5
1
1.5
2
2.5
1950 1960 1970 1980 1990 2000 2010 2020
Vehicles per Household
Figure 5. U.S Census Bureau, Current; R.L. Polk
71%
Public Transportation Usage Rate
Suburban and Rural Households
City Households
Figure 6. U.S Department of Housing and Urban Development
9% Use Public
Transportation
29%
supports an assumption on auto retail sales expansion (See Figure 10 for Auto Sales Recovery
since the 2008 crisis.)
Developing Economy: A Driving force for Vehicle Demand
According to GDP consensus forecasts2, real GDP growth is forecasted to increase to
2.6% and 3.0% in 2014 and 2015 respectively from 1.7% in 2012 (see Appendix 6 for GDP
forecast distribution charts). In addition, the level of unemployment will remain on a
continuous drop to 6.8% in 2014 and 6.3% in 2015 (see Figure 11 for Economic Expansion
Forecast). In addition, personal wages and spending are reported to rise 0.1% and 0.4%,
respectively, both of which are a broad measure of the consumption of goods and services.
Therefore, GDP growth is forecasted to continue its increasing trend, growing at a pace of
3.0% and 2.9% in 2016 and 2017, respectively. However, we cannot rule out the potential risk
of occurrence of economic events and its impact on auto retail industry. Thus, in next sections
we will model in our valuations different economic scenarios and its impact in the company’s
stock price.
Buyers Return to New Car Market: High pent up demand will continue to drive
momentum in vehicle sales and absorb inventory levels
In terms of inventory, the number of days needed to sell a new car was on increasing
trend between 2009 and 2012; from a low of 47 days to 61 days (see Figure 12.) The high
inventory level pushes automakers to increase incentives for promotion, which in return lure
more new car buyers. Overall, supply and demand is reasonably aligned, but with units on
hand at a multiyear high, we can expect further promotions by automakers and, thus,
continued sales. The reason why days to turn slowed down is mainly because as the sales
approaching its historical level, the pent up demand due to 2008 financial crisis is being
absorbed. The forecast of sales growth in the coming few years is expected to be at 1.4%.
STRONG POSITIONING TO GAIN MARKET SHARE IN AUTO RETAIL INDUSTRY
Auto retail industry is a highly regulated and competitive industry. The total number of U.S.
franchised automotive dealerships was approximately 15,900 at the end of 2012, and the total
number of U.S. independent used vehicle dealers was approximately 37,900 in 20123.
Competitors include public companies, private companies, and online marketplaces. We
believe that the principal competitive factors in the automotive retail business are location,
service, price, and selection.
Efficient Sales Network: Key driver in a highly competitive market
AutoNation is the # 1 auto dealer in the U.S. The firm owns 265 new-vehicle franchises
in 14 states, predominantly in online sales through AutonNation.com and individual
dealer websites. Despite the fact that the largest competitor, Penske Automotive (PAG), has
more locations, its market share of auto sales is less than AutoNation’s (see Figure 13). This
indicates AutoNation is more efficient in using its sales network, which includes dealership
and online sales. Based on this market share analysis, we get HHI ratio 425.81 for Auto Retail
industry, which is much lower than the hurdle rate 1500 defined as "not concentrated". The
HHI analysis supports our assumption that the Auto Retail Industry is highly competitive.
INVESTMENT SUMMARY
Good entry point for a growth stock
We issue a BUY recommendation for AutoNation, Inc. with a target price USD 52.26 and
6.33% upside from current price level. AutoNation’s position as leader of the U.S. Retail
Automobile Industry, efficient dealership management and sound expansion strategy will
allow the company to continue gaining from the current positive market conditions. In the
last year, AN share price has increased by 16.55%, fueled primarily by continued consumer
2 GDP Consensus Forecasts consist on 77 financial firms: Including the Federal Reserve and leading financial institutions
3 Bureau of Transportation Statistics
Figure 12. Bloomberg Industry Outlook, Data Terminal
Auto Retail Industry
Market Share in 2012
Figure 13. Bloomberg Data Terminal
Figure 10. Bloomberg Data Terminal
Figure 11. Team estimates, Bloomberg Data Terminal
Figure 9. Team estimates, Bloomberg Data Terminal
0
5
10
15
20
2000 2005 2010 2015
Auto Sales Forecast
Auto Sales
Prime Rate
Consumer Confidence
demand for new cars. The company is expected reach pre-recession revenue levels of 18 billion
by 20174. In the past four years EPS and EBITDA has experienced significant growth, each
growing at an annualized rate of 26% and 15%, or total of 156% and 77% respectively. Even
though the stock has recently traded at a premium compared to its peers, we expect continued
growth in share price if no major economic event occurs that could potentially hinder the
current automotive industry trend.
Valuation methods
The target price was derived by applying equal weights to DCF valuation and Company
Comparable valuation. It is our opinion that both methods should not be differentiated. The
DCF valuation used was Free Cash Flow to Equity and the Company Comparable valuation
selected peer companies that reflected similar growth trends and strategies as AutoNation.
Two-Stage Growth will continue to drive shareholder value
AN has experienced a multi-year growth after the financial crisis, which has bolstered
shareholder value in the short and medium-term. The economic recovery from 2009 to the
last twelve months has driven revenues, with EPS and EBITDA growing from USD 1.12 and
461 in 2009 to 2.87 and 816 LTM, respectively. We categorize this growth as the “first stage”
phase of the two stage growth that AN will experience. Namely, the aggressive acquisition
strategy and enterprise efficiency development has allowed AN to position itself to capitalize
on the economic recovery. As the economy continues to expand and enter an expansionary
phase through the forecasted period, we project the company to enter the “second stage” of
its long-term growth phase, making the investment a good entry price at its current value.
VALUATION
The valuation process of AutoNation (AN) consists on standard approaches- The Discounted
Cash Flow (DCF) model and the Company Comparable model through relative and future
trading multiples. In our process, we will incorporate stress analysis of key assumptions of the
models to illustrate stock price volatility to changing economic conditions.
DISCOUNTED CASH FLOW VALUATION: FCFE MODEL
We are evaluating AN using the Discount Cash Flow (DCF)- Free Cash Flow to Equity (FCFE)
through the Perpetuity method as we believe this analysis is a highly suitable method to model
the company because the stability of its capital structure. We are utilizing the Free Cash Flow to
Equity approach because the firm’s leverage will not change over the forecasted period and it
has remained stable over the past five years. In addition, AN is currently in a Two-Stage growth
phase; therefore, FCFE will appropriately illustrate the present value of the future cash flows
of the company through its years of growth. According to our Discounted Cash Flow analysis,
the target price for AN is USD 50.96. The DCF is driven by the following fundamental factors:
Sales Forecast
The five-year forecasted free cash flows are driven by sales and we identified through our
correlation analysis that the strong relationship of .717 between GDP growth to vehicle sales
serves a key determinant to AN’s total revenue projections. Given the company’s growth
phase, overall economic cycle, and leading consumer confidence levels, it is suitable to utilize
a two-stage growth model approach to forecasting sales. As a result, AN will likely sustain a
robust sales growth during the years of 2014-2016, albeit more stabilized by the terminal year
of 2017 (see Figure 16) The forecasted sales is derived from the product of the consensus on
GDP growth for the forecasted period and the correlation to auto sales and should serve as a
very conservative estimate of AN’s sales growth. (See Appendix 2 for Income Statement
Forecast)
4 According to Team estimates
Figure 16. Team estimates
AutoNation Sales Forecast
2014E 2015E 2016E 2017E
Revenue 16,663 17,010 17,376 17,737
Finance Division 665 679 694 708
Other Revenue 159 162 165 169
GDP Correlation 0.717 0.717 0.717 0.717
Consensus GDP Forecast 2.64% 2.90% 3.00% 3%
Target Growth Rate % 1.90% 2.10% 2.20% 2.10%
Total Forecasted Revenue 17,487 17,851 18,235 18,614
Figure 14. Company Data and Team estimates
40.62
38.95
57.92
45.83
72.43
49.10
62.36
61.30
30 40 50 60 70 80
P/E
EV/EBITDA
EV/TREV
Mean Price
Peer Valuation Ranges
Figure 15. Company Data and Team estimates
Capital Expenditures (CAPEX)
AN’s CAPEX for 2013 are expected to be 145 million5. To forecast CAPEX for 2014-2017
and beyond, we assumed an annualized growth rate of 6.1%, derived from an average 3-year
CAGR from historical capital expenditures. AN is likely to continue growing its capital
expenditure as it invests heavily in transforming its IT infrastructure to develop a more
engaging online experience for its end-customer.
Capital Asset Pricing Model: Cost of Equity
The cost of equity was calculated using the CAPM. We used the 10-year US Government
Bond Yield of 2.95% as risk-free rate. The beta was calculated by the correlation between
AN and the market, for which we used S&P 500 returns as a market proxy (see Appendix 7
for Beta Calculations) which yielded a beta for AN of 1.0702, which we have determined to
remain relatively stable due to the maturity of the automotive market. The expected market
return of 10.60% used is derived from analyst consensus of the S&P 500 expected returns.
Five-Year Cash Flow Assumptions
In order to obtain change in NWC, Current Assets were forecasted with a growth rate of
4.34% by using a 3-year CAGR and applied an expected ratio of Current Assets to change in
NWC of 11.1% derived from historical averages. Proceeds from New Debt Issuance were
forecasted using a 3-year CAGR average which yielded a growth rate of 11.71%. For
Repayout of Debt, we used a historical 1.25 New Debt Issuance to Repayout of Debt Ratio.
(See Appendix 8 for DCF Calculations)
Residual Growth Rate
Residual growth rate of 2% is based primarily economic analysts’ consensus for long-term
US Inflation rate of 2%. We performed a Monte Carlo simulation in order to test to what
extent AN’s stock price will be affected by a change in the US Inflation rate, setting a floor
of 1% and a ceiling of 3%. To further test different scenarios, additional variables were
included in the simulation, such as CAPEX and Proceeds from New Debt Issuance growth
rates. The mean price obtained was USD 51.19, which is relatively close to the DCF FCFE
estimate of USD 50.96, and still yields a BUY recommendation. (See Figure 18 and Appendix
9 for Monte Carlo Simulation results).
COMPANY COMPARABLE VALUATION: P/E, EV/EBITDA, EV/TREV
In analyzing AN through the Company Comparable Valuation method we arrived to a target
price of USD 53.56, with a high of 61.3 and a low of 45.83 by comparing the values assessed
by the market for AN’s comparable industry peers. We identified the peer universe by
analyzing the industry where the subject company mainly operated and obtained a narrow
peer group derived from the last twelve month’s total revenues from each firm. We have
applied the median multiplier from all peers to derive to AN’s implied share price. Our
multiplier analysis indicates that AN’s EV/Total Revenue has historically traded at a
premium from its peers, with an average premium of 66%. In terms of P/E and
EV/EBITDA the multiples have also traded at historical premiums, albeit much lower at an
average premium of 26% and 17% respectively (see Figure 19 and Appendix 10 for Peer
Multiplier Analysis.)
The reasoning behind the premium in multiples, especially EV/Total Revenue, can be
attributed to the stronger and more efficient revenue generation through the sales channels
of the company and we believe the trend will continue as the company makes strategic
acquisitions and strengthens its network. As a result, we have applied the historical premium
to the median industry multiples to assess the implied value of AN. (See Appendix 11 for
Company Comparable Valuation)
5 According to the company’s Q3 2013 Quarterly Earnings Report
Figure 17. Bloomberg Data Terminal and Team estimates
Figure 19. Team Estimates
Figure 18. Team Estimates
FINANCIAL ANALYSIS
AutoNation (AN) enjoys from an effective and efficient business model with strong
operational metrics and an improving balance sheet. AN generates above-industry revenues
due to its efficient sales network and lean cost structure. We have developed a ranking model
to assess AN’s operational, solvency, and liquidity ratios to benchmark the company against
its peers6. We have issued AN a ranking of “Average” in terms of overall company health. The
factors that drive our analysis include:
 Operating Metrics: An efficient business model and large sales network results in high
asset and inventory turnover ratios, which has allowed AN to capture the largest new
vehicle market share and will continue to position the company to capitalize on vehicle
sales in the forecasted period. We have ranked AN’s operational performance as “Above
Average” within the industry
 Solvency Metrics: AN’s focus on effective capital allocation strategy has allowed the
company to make strategic acquisitions that have positioned the company to heavily
capitalize from periods of economic expansion and enable AN to continue to maximize
shareholder value. Although the company has seen continued development on solvency,
AN’s capital structure is composed of a high level of debt. As such, we have issued an
“Average” ranking within the industry
 Liquidity Metrics: Although AN has an investment-grade balance sheet is continues to see
a developing trend after the culmination of the aggressive acquisition strategy since 2007.
We believe solvency and liquidity will be one of the most challenging factors that AN’s
management will encounter in the forecasted period. As a result, we have issued an
“Average” ranking among all other peers in the industry.
OPERATIONAL METRICS: TOP PERFORMER IN THE AUTOMOBILE INDUSTRY
Multi-Year Revenue Recovery: Aggressive Acquisition Strategy drives sales growth
Following the backlash in industry-wide sales in 2008, AN experienced surging revenue growth
in addition to the factor attributable to overall economic development. As a result of the M&A
environment, AN strategically positioned itself to capitalize from a developing economy, as it
increased its market share and product offering throughout the nation (see Figure 20 for Effect
of Acquisitions on Sales Growth). The increase in its store portfolio, particularly in 2007,
allowed AN to outperform its industry peers in terms of total revenue. With the total number
of acquisitions made by AN accounting to 19 from 2007 to 2013 culminating with the
acquisition of O’Hare Honda & O’Hare Hyundai Vehicle dealerships which are expected to
generate annual revenues of USD 85 million7, we see the multi-year trend in sales recovery to
sustain as the economy continues to expand in the forecasted period. (See Appendix 12 for
AutoNation’s M&A Timeline)
SOLVENCY METRICS: CONTINUED RECOVERY FOLLOWING AGGRESSIVE
ENTERPRISE TRANSFORMATION
Lean Cost Structure: Increase in Productivity will push down SG&A, improve margins,
and create Synergy among stores
AN’s management has developed a very lean cost structure, with SG&A decreasing at
a faster rate than total revenues. The decrease in its cost structure is attributed to the
company’s development of its online portal, which will increase associate productivity
and efficiency and reduce general and administrative costs of doing business from store to
store. Management developed this lean and flexible business model as a result of the backlash
from the financial crisis, in order to decrease costs and increase productivity. The online portal
will result in increased synergies among old and newly acquired stores, which will continue to
drive same store sales. Therefore, as SG&A expenses continue to be pushed down in the
6 Analysis Based on ratios benchmarked against industry peers. See Appendix 13 for Scoring Methodology
7 Source: Company Q3 2013 Quarter Earnings Call
Figure 20. Team estimates
Figure 21. Team estimates
Figure 22. Team estimates
52.0
54.0
56.0
58.0
60.0
62.0
64.0
66.0
68.0
0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
2008 2009 2010 2011 2012 LTM
Cash Generation Efficiency
Avg. Days Sales Out.
Avg. Days Payable Out.
Avg. Days Inventory Out.
Avg. Cash Conversion Cycle
future, the online portal will allow AN to further penetrate the market and the effect will result
in higher profit margins (See Figure 22 for Effect of Cost Structure on Margins.)
High Efficiency Performance: Increase in Inventory turnover and cash conversion
cycles improve Balance Sheet
AN’s focus on growth through expansions and enterprise-wide efficiency will continue to
develop the overall financial condition. Through the expanded sales network, AN has
capitalized on the overall economic expansion. Combined with the increased productivity,
average days to sell inventory has decreased from 66.7 days in 2008 to 58.6 days in the last
twelve months (see Figure 23 for Cash Generation Efficiency). The improved inventory
turnover level has decreased the cash conversion cycle, which in turn has driven the cash
position and developed overall liquidity. As the economy develops in the forecasted period we
believe AN will be particularly well-positioned to continue improving its average days to sell
and conversion cycles, which will continue to improve the balance sheet, the ability to service
current debt, and boost short-term liquidity.
INVESTMENT RISK & SCENARIO ANALYSIS
SYSTEMATIC RISK
Highly Sensitive to Macroeconomic Factors
An economic slowdown may potentially affect all business segments severely. This is not
likely to happen within the next 3 year span according to our findings and analysts’
consensus as GDP growth continues to increase, unemployment continues to decrease, and
other key indicators continue to signal robust economic growth. (See Figure 24 Net Income
Sensitivity to changes in GDP).
Disruptive Events
Events such as the previous earthquake in Japan or the recent Government shutdown could
negatively affect all segments revenue streams by disrupting supply or demand trends.
OPERATIONAL AND FINANCIAL RISK
Management Effectiveness
Crucial factor in order to prevent a potential downgrade by Moody’s if debt/EBITDA were
to rise above 4x, or if EBIT/interest expense fell below 5x. The recent news of CFO Mike
Short stepping down may lead to some instability that may be reflected in the stock price,
depending on who is chosen as his replacement. Cheryl Scully, who’s served as Vice
President and Treasurer for the company for over four years, has stepped up as interim CFO
while the Company conducts a search for a new candidate.
Legal Proceedings
Legal contingency expenses have been mostly accrued and hedged for, but unfavorable
results could severely affect the bottom line. They occur frequently, which is normal for
corporations of that magnitude who deal with ongoing labor disputes of all matters.
ENVIRONMENTAL RISK
Highly Competitive Environment
The fast growing number of competitors could potentially decrease future market share.
Also, there is a potential weakness in the import segment due to competitors’ volume-based
incentives. AutoNation’s new centralized Branding Strategy will help hedge this risk along
with its current competitive advantage. This environment may also lead to increasing prices,
which in turn may limit growth through Mergers and Acquisitions in the future.
Figure 24. Team estimates
Figure 23. Team estimates
REGULATORY RISK
Government Regulations
Are going currently through changes which could affect the competitive advantage held by
AN. Specifically The Dodd-Frank Wall Street Reform and Consumer Protection Act may
lead to additional and indirect regulation of automotive dealers, in particular, their sale and
marketing of finance and insurance products, through its regulation of automotive finance
companies and other financial institutions. In the Q3 Earnings Call AutoNation ensured the
threat was hedged to its shareholders ensuring a minimal impact but still leaving a small
room of uncertainty.
Source: Team estimates
Overall AutoNation is well positioned in terms of investment risk
As its exposure to severe risk is well hedged and limited; this is seen below in the risk Matrix,
which rates the risks AutoNation will be facing in terms of exposure and severity in the
upcoming years, as its leaning towards the bottom left (Green) indicating its strength.
5
4
Catastrophic
Disruptive Events
Economic
Slowdown
3
Loss of Market
Share
2
New
Government
Regulations
Legal Disputes
Increasing
Competitive
Environment
1
Management
Effectiveness
New
Technological
Trends
1 2 3 4 5
S
e
v
e
r
i
t
y
Exposure
Investment Risk Matrix
10
Appendix 1: Balance Sheet
Source: Team estimates
BALANCE SHEET 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E
ASSETS
Cash And Equivalents 110.2 173.5 95.1 86.6 69.7 150.4 163.6 178.5 194.5 210.9
Total Cash & ST Investments 110.2 173.5 95.1 86.6 69.7 150.4 163.6 178.5 194.5 210.9
Accounts Receivable 194.1 183.9 213.9 229.7 254.1 291.5 317.2 346.1 377.0 408.9
Other Receivables 34.7 52.3 37.5 51.6 39.4 59.4 64.6 70.5 76.8 83.2
Total Receivables 228.8 236.2 251.4 281.3 293.5 350.9 381.7 416.6 453.8 492.1
Inventory 1,758.1 1,392.8 1,867.0 1,809.2 2,396.9 2,485.5 2,704.0 2,950.7 3,214.5 3,485.8
Finance Div. Loans and Leases, ST 141.4 170.2 210.6 306.1 404.9 327.3 356.1 388.6 423.3 459.1
Deferred Tax Assets, Curr. 65.7 72.1 60.0 41.8 44.7 79.0 85.9 93.8 102.1 110.8
Other Current Assets 419.3 223.6 144.7 151.2 151.4 302.0 328.6 358.6 390.6 423.6
Total Current Assets 2,723.5 2,268.4 2,628.8 2,676.2 3,361.1 3,695.1 4,019.9 4,386.7 4,778.9 5,182.2
Gross Property, Plant & Equipment 2,434.8 2,340.0 2,527.6 2,707.5 2,921.9 3,515.3 3,824.2 4,173.2 4,546.3 4,929.9
Accumulated Depreciation (635.9) (626.4) (689.6) (756.8) (826.8) (959.2) (1,043.5) (1,138.7) (1,240.6) (1,345.2)
Net Property, Plant & Equipment 1,798.9 1,713.6 1,838.0 1,950.7 2,095.1 2,556.0 2,780.7 3,034.4 3,305.7 3,584.7
Goodwill 1,125.7 1,122.8 1,142.4 1,172.2 1,237.4 1,582.8 1,721.8 1,879.0 2,047.0 2,219.7
Other Intangibles 177.7 174.8 202.0 217.8 291.3 286.3 311.4 339.8 370.2 401.5
Deferred Tax Assets, LT 51.2 - 2.5 3.0 - 26.2 28.5 31.1 33.9 36.8
Other Long-Term Assets 137.1 127.7 160.5 178.9 218.1 221.3 240.8 262.8 286.2 310.4
Total Assets 6,014.1 5,407.3 5,974.2 6,198.8 7,203.0 8,357.3 9,091.7 9,921.4 10,808.4 11,720.5
LIABILITIES
Accounts Payable 134.6 151.7 164.0 202.4 235.8 239.5 260.5 284.3 309.7 335.9
Accrued Exp. 36.8 1.6 27.8 23.6 22.6 30.1 32.8 35.7 38.9 42.2
Short-term Borrowings 1,813.5 1,374.6 1,866.4 1,898.8 2,540.2 2,552.5 2,776.9 3,030.3 3,301.2 3,579.8
Curr. Port. of LT Debt 33.3 7.6 8.1 12.6 29.8 24.2 26.3 28.7 31.3 33.9
Curr. Income Taxes Payable 2.0 - 10.7 - 3.2 7.2 7.8 8.5 9.3 10.0
Other Current Liabilities 435.6 327.9 322.4 325.2 370.1 486.2 528.9 577.2 628.8 681.9
Total Current Liabilities 2,455.8 1,863.4 2,399.4 2,462.6 3,201.7 3,336.8 3,630.0 3,961.3 4,315.5 4,679.6
Long-Term Debt 1,225.6 1,105.0 1,340.6 1,634.4 2,066.3 1,977.4 2,151.2 2,347.5 2,557.4 2,773.2
Pension & Other Post-Retire. Benefits 22.1 25.1 - - - 34.8 37.8 41.3 44.9 48.7
Def. Tax Liability, Non-Curr. - 24.6 25.9 62.3 89.4 65.5 71.2 77.8 84.7 91.8
Other Non-Current Liabilities 112.5 86.0 129.4 144.9 157.1 169.6 184.5 201.3 219.3 237.8
Total Liabilities 3,816.0 3,104.1 3,895.3 4,304.2 5,514.5 5,550.1 6,037.9 6,588.9 7,177.9 7,783.7
Common Stock 1.9 1.9 1.6 1.6 1.6 2.6 2.8 3.1 3.3
Additional Paid In Capital 481.8 480.2 2.0 19.6 26.6 294.4 320.2 349.4 380.7 412.8
Retained Earnings 2,023.0 2,221.0 2,365.2 2,646.6 2,963.0 3,311.7 3,602.7 3,931.5 4,283.0 4,644.4
Treasury Stock (307.9) (399.9) (289.9) (773.2) (1,302.7) (801.1) (871.5) (951.0) (1,036.0) (1,123.5)
Comprehensive Inc. and Other (0.7) - - - - (1.0) (1.1) (1.2) (1.3) (1.4)
Total Common Equity 2,198.1 2,303.2 2,078.9 1,894.6 1,688.5 2,807.2 3,053.8 3,332.5 3,630.5 3,936.9
Total Equity 2,198.1 2,303.2 2,078.9 1,894.6 1,688.5 2,807.2 3,053.8 3,332.5 3,630.5 3,936.9
Total Liabilities And Equity 6,014.1 5,407.3 5,974.2 6,198.8 7,203.0 8,357.3 9,091.7 9,921.4 10,808.4 11,720.5
11
Appendix 2: Income Statement
Source: Team estimates
INCOME STATEMENT 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E
Revenue 12,722.2 10,270.3 11,994.3 13,304.8 15,020.8 16,358.2 16,663.1 17,009.6 17,375.5 17,736.8
Finance Div. Revenue 455.7 348.6 418.9 474.5 571.2 653.3 665.5 679.3 693.9 708.4
Other Revenue 60.8 47.1 47.8 53.0 76.8 155.7 158.6 161.9 165.4 168.8
Total Revenue 13,238.7 10,666.0 12,461.0 13,832.3 15,668.8 17,167.2 17,487.2 17,850.8 18,234.8 18,614.0
Growth Rate % (0.2) 0.2 0.1 0.1 0.1 0.0 0.0 0.0 0.0
COGS 11,013.7 8,756.2 10,333.5 11,528.3 13,182.4 14,477.7 14,573.4 14,880.7 15,239.2 15,576.1
Gross Profit 2,225.0 1,909.8 2,127.5 2,304.0 2,486.4 2,689.5 2,913.9 2,970.2 2,995.6 3,037.8
S&GA 1,675.1 1,446.9 1,552.1 1,649.4 1,749.5 1,876.7 2,118.8 2,146.8 2,146.2 2,169.6
R&D Expense - - - - - - - - - -
D&A 84.0 76.7 76.8 83.7 87.3 92.5 107.0 108.5 107.5 108.9
Other OPEX 14.4 1.0 4.8 0.2 (0.4) (4.1) (0.0) (0.0) (0.0) (0.0)
Total OPEX 1,773.5 1,524.6 1,633.7 1,733.3 1,836.4 1,965.1 2,225.7 2,255.4 2,253.7 2,278.5
EBIT 451.5 385.2 493.8 570.7 650.0 724.4 684.3 713.5 740.5 759.0
Interest Expense (169.2) (78.3) (98.6) (108.7) (132.4) (140.1) (153.0) (144.2) (149.6) (153.6)
Interest and Invest. Income 2.2 1.1 1.4 0.7 0.3 0.3 1.4 1.1 1.0 0.9
Net Interest Exp. (167.0) (77.2) (97.2) (108.0) (132.1) (139.8) (151.7) (143.1) (148.5) (152.7)
Other Non-Operating Inc. (Exp.) (4.7) 5.4 1.5 (0.5) 3.6 2.7 1.8 3.2 2.3 2.4
EBT Excl. Unusual Items 279.8 313.4 398.1 462.2 521.5 587.3 534.4 573.6 594.3 608.7
Impairment of Goodwill (1,610.0) - - - - - - - - -
Gain (Loss) On Sale Of Assets 4.8 24.3 2.8 3.5 0.3 0.3 - - - -
Asset Writedown (127.4) (1.5) - (2.2) (5.0) (0.5) - - - -
Other Unusual Items 51.3 13.0 (19.6) (2.2) - (18.0) - - - -
EBT Incl. Unusual Items (1,401.5) 349.2 381.3 461.3 516.8 569.1 534.4 573.6 594.3 608.7
Income Tax Expense (189.2) 116.1 146.0 177.1 199.5 220.1 224.2 228.9 233.8 238.6
Earnings from Cont. Ops. (1,212.3) 233.1 235.3 284.2 317.3 349.0 310.2 344.7 360.5 370.0
Earnings of Discontinued Ops. (30.8) (35.1) (8.7) (2.8) (0.9) (0.3) (19.2) (16.0) (9.0) (8.6)
Net Income to Company (1,243.1) 198.0 226.6 281.4 316.4 348.7 291.0 328.8 351.5 361.4
EPS (7.0) 1.1 1.4 1.9 2.6 2.9 2.4 2.7 2.9 3.0
12
Appendix 3: Statement of Cash Flows
Source: Team estimates
STATEMENT OF CASH FLOWS 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E
Net Income (1,243.1) 198.0 226.6 281.4 316.4 348.7 291.0 328.8 351.5 361.4
Depreciation & Amort. 84.0 76.7 76.8 83.7 87.3 92.5 107.0 108.5 107.5 108.9
Depreciation & Amort., Total 84.0 76.7 76.8 83.7 87.3 92.5 107.0 108.5 107.5 108.9
Other Amortization 5.3 3.2 7.0 4.7 5.6 5.2 5.2 5.2 5.2 5.2
(Gain) Loss From Sale Of Assets (4.8) (24.3) (2.8) (3.5) (0.3) - - - - -
Asset Writedown & Restructuring Costs 1,743.0 4.9 3.7 2.2 5.0 - - - - -
Stock-Based Compensation 21.0 13.5 15.9 18.4 18.6 17.5 17.5 17.5 17.5 17.5
Tax Benefit from Stock Options - - (7.7) (22.8) (10.6) (8.2) (8.2) (8.2) (8.2) (8.2)
Net Cash From Discontinued Ops. 31.3 28.7 5.3 0.5 (1.0) 13.0 13.0 13.0 13.0 13.0
Other Operating Activities (283.9) 78.5 23.8 34.2 23.7 (24.7) (24.7) (24.7) (24.7) (24.7)
Change in Acc. Receivable 299.0 (42.0) (55.9) (127.4) (112.0) (57.4) (30.8) (34.8) (37.2) (38.3)
Change In Inventories 339.2 345.3 (448.6) 70.1 (474.7) (88.6) (218.4) (246.8) (263.8) (271.3)
Change in Acc. Payable (63.1) 17.8 11.8 38.4 35.1 3.7 21.0 23.8 25.4 26.1
Change in Other Net Operating Assets (243.7) (331.0) 395.9 (3.5) 423.5 (107.3) (62.2) (70.3) (75.2) (77.3)
Cash from Ops. 684.2 369.3 251.8 376.4 316.6 194.3 110.3 112.0 111.0 112.4
Capital Expenditure (110.2) (75.4) (161.8) (162.9) (177.4) (145.0) (153.8) (163.2) (173.2) (183.8)
Sale of Property, Plant, and Equipment 3.3 14.3 17.8 3.0 15.9 10.9 10.9 10.9 10.9 10.9
Cash Acquisitions (32.2) (0.2) (73.1) (64.2) (141.6) (62.3) (62.3) (62.3) (62.3) (62.3)
Divestitures - - 13.0 4.9 6.8 4.9 4.9 4.9 4.9 4.9
Invest. in Marketable & Equity Securt. - - - - - - - - - -
Net (Inc.) Dec. in Loans Originated/Sold - - - - - - - - - -
Other Investing Activities 64.0 75.3 3.9 13.0 (1.5) 30.9 30.9 30.9 30.9 30.9
Cash from Investing (75.1) 14.0 (200.2) (206.2) (297.8) (160.6) (169.4) (178.8) (188.7) (199.3)
Total Debt Issued 538.9 - 816.0 1,480.1 1,767.5 1,112.6 1,242.9 1,388.4 1,551.0 1,732.6
Total Debt Repaid (993.8) (182.8) (463.2) (1,166.8) (1,262.8) (890.1) (994.3) (1,110.7) (1,240.8) (1,386.1)
Issuance of Common Stock 1.0 24.8 49.9 78.0 30.6 36.9 36.9 36.9 36.9 36.9
Repurchase of Common Stock (58.8) (136.1) (524.4) (579.8) (575.6) (204.7) (205.4) (225.0) (245.6) (272.3)
Total Dividends Paid - - - - - - - - - -
Other Financing Activities (19.5) (25.8) (8.3) 9.8 4.6 (7.8) (7.8) (7.8) (7.8) (7.8)
Cash from Financing (532.2) (319.9) (130.0) (178.7) (35.7) 46.9 72.3 81.8 93.7 103.3
Net Change in Cash 76.9 63.4 (78.4) (8.5) (16.9) 80.7 13.2 14.9 16.0 16.4
13
Appendix 4: Key Financial Ratios
Source: Team estimates
KEY FINANCIAL RATIOS 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E
Profitability Ratios
Return on Assets % 3.9% 4.2% 5.4% 5.9% 6.1% 4.2% 3.2% 3.3% 3.3% 3.1%
Return on Capital % 4.5% 4.8% 6.1% 6.6% 6.9% 6.0% 5.1% 4.9% 4.7% 4.4%
Return on Equity % (42.7%) 10.4% 10.7% 14.3% 17.7% 12.4% 9.5% 9.9% 9.7% 9.2%
Asset Turnover
Total Asset Turnover 1.8x 1.9x 2.2x 2.3x 2.3x 2.1x 1.9x 1.8x 1.7x 1.6x
Fixed Asset Turnover 7.1x 6.1x 7.0x 7.3x 7.7x 6.7x 6.3x 5.9x 5.5x 5.2x
Accounts Receivable Turnover 57.4x 54.3x 60.3x 60.0x 62.1x 58.9x 55.1x 51.6x 48.4x 45.5x
Inventory Turnover 5.5x 5.6x 6.3x 6.3x 6.3x 6.9x 6.5x 6.0x 5.7x 5.3x
Short Term Liquidity
Current Ratio 1.1x 1.2x 1.1x 1.1x 1.0x 1.1x 1.1x 1.1x 1.1x 1.1x
Quick Ratio 0.2x 0.3x 0.2x 0.3x 0.2x 0.2x 0.2x 0.2x 0.2x 0.2x
Cash from Ops. to Curr. Liab. 0.3x 0.2x 0.1x 0.2x 0.1x 0.1x 0.0x 0.0x 0.0x 0.0x
Avg. Days Sales Out. 6.4 6.7 6.1 6.1 5.9 7.4 7.9 8.4 9.0 9.5
Avg. Days Inventory Out. 66.7 65.7 57.6 58.2 58.4 62.7 67.7 72.4 77.0 81.7
Avg. Days Payable Out. 6.0 6.2 5.3 5.8 5.8 6.0 6.5 7.0 7.4 7.9
Avg. Cash Conversion Cycle 67.1 66.2 58.3 58.5 58.5 64.0 69.1 73.8 78.5 83.3
Long Term Solvency
Total Debt/Equity 139.8% 108.0% 154.7% 187.2% 274.6% 197.7% 197.7% 197.7% 197.7% 197.7%
Total Debt/Capital 58.3% 51.9% 60.7% 65.2% 73.3% 66.4% 66.4% 66.4% 66.4% 66.4%
LT Debt/Equity 55.8% 48.0% 64.5% 86.3% 122.4% 70.4% 70.4% 70.4% 70.4% 70.4%
LT Debt/Capital 23.3% 23.1% 25.3% 30.0% 32.7% 23.7% 23.7% 23.7% 23.7% 23.7%
Total Liabilities/Total Assets 63.5% 57.4% 65.2% 69.4% 76.6% 66.4% 66.4% 66.4% 66.4% 66.4%
Margin Analysis
Gross Margin % 16.8% 17.9% 17.1% 16.7% 15.9% 15.7% 16.7% 16.6% 16.4% 16.3%
SG&A Margin % 12.7% 13.6% 12.5% 11.9% 11.2% 10.9% 12.1% 12.0% 11.8% 11.7%
EBITDA Margin % 4.0% 4.3% 4.6% 4.7% 4.7% 4.8% 4.5% 4.6% 4.7% 4.7%
EBIT Margin % 3.4% 3.6% 4.0% 4.1% 4.1% 4.2% 3.9% 4.0% 4.1% 4.1%
14
Appendix 5: Vehicle Demand Projections
Sales Volume Forecast 2013F 2014F 2015F 2016F 2017F
Units Added 2,388,311 2,412,194 2,436,316 2,460,679 2,485,286
New Vehicle Sales Market Share 29.47% 703,835 710,874 717,982 725,162 732,414
Forecasted Units Sold 703,835 710,874 717,982 725,162 732,414
Total Forecasted Units Sold 3,590,267
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Light duty vehicle, short wheel base196,382,795 198,346,623 200,330,089 202,333,390 204,356,724 206,400,291 208,464,294 210,548,937 212,654,427 214,780,971 216,928,781 219,098,068 221,289,049
Growth % 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00%
Light duty vehicle, long wheel base 42,325,805 42,749,063 43,176,554 43,608,319 44,044,403 44,484,847 44,929,695 45,378,992 45,832,782 46,291,110 46,754,021 47,221,561 47,693,777
Growth % 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00%
Trucks 2,510,821 2,535,929 2,561,288 2,586,901 2,612,770 2,638,898 2,665,287 2,691,940 2,718,859 2,746,048 2,773,508 2,801,243 2,829,256
Growth % 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00%
Total (registered vehicles) 241,219,421 243,631,615 246,067,931 248,528,611 251,013,897 253,524,036 256,059,276 258,619,869 261,206,068 263,818,128 266,456,310 269,120,873 271,812,081
Growth % 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0%
15
Appendix 6: GDP Consensus Forecasts Distribution Charts
Consensus Forecast 2014Y 2015Y 2016Y
MEDIAN 2.6 3 3
MEAN 2.61 3.02 2.23
HIGH 4.2 4.5 3.2
LOW 1 1.4 0.5
Source: Bloomberg
16
Appendix 7: Beta Calculations
Source: Bloomberg
Covariance AN and S&P500 0.000244443
Variance S&P500 0.000228393
AN Beta 1.0702
Date AN Returns
S&P500
Returns
Date AN Returns
S&P500
Returns
Date AN Returns
S&P500
Returns
1/9/2012 2.0% 0.9% 9/10/2012 0.8% 2.0% 5/13/2013 0.3% 2.2%
1/17/2012 3.3% 2.4% 9/17/2012 1.8% -0.4% 5/20/2013 0.6% -1.0%
1/23/2012 3.7% -0.1% 9/24/2012 1.7% -1.3% 5/28/2013 0.1% -1.1%
1/30/2012 1.4% 2.1% 10/1/2012 6.5% 1.5% 6/3/2013 1.1% 0.8%
2/6/2012 -2.5% -0.1% 10/8/2012 0.3% -2.2% 6/10/2013 -5.9% -1.0%
2/13/2012 -3.1% 1.5% 10/15/2012 3.8% 0.3% 6/17/2013 -2.5% -2.0%
2/21/2012 -2.8% 0.4% 10/22/2012 -7.9% -1.4% 6/24/2013 1.0% 0.9%
2/27/2012 0.9% 0.3% 10/31/2012 -2.4% 0.1% 7/1/2013 6.3% 1.6%
3/5/2012 -0.5% 0.2% 11/5/2012 -6.2% -2.4% 7/8/2013 -0.3% 2.8%
3/12/2012 1.8% 2.4% 11/12/2012 0.5% -1.3% 7/15/2013 -2.7% 1.0%
3/19/2012 1.7% -0.5% 11/19/2012 2.4% 3.7% 7/22/2013 2.3% 0.0%
3/26/2012 -2.9% 0.8% 11/26/2012 -7.5% 0.6% 7/29/2013 7.7% 1.1%
4/2/2012 -0.3% -0.7% 12/3/2012 2.1% 0.2% 8/5/2013 -1.7% -1.0%
4/9/2012 -3.6% -1.9% 12/10/2012 -3.3% -0.2% 8/12/2013 -5.8% -2.1%
4/16/2012 2.3% 0.6% 12/17/2012 1.2% 1.2% 8/19/2013 1.7% 0.5%
4/23/2012 2.3% 1.8% 12/24/2012 0.1% -1.9% 8/26/2013 0.7% -1.8%
4/30/2012 1.2% -2.4% 12/31/2012 8.5% 4.5% 9/3/2013 5.4% 1.5%
5/7/2012 0.2% -1.0% 1/7/2013 1.9% 0.5% 9/9/2013 7.7% 2.0%
5/14/2012 -1.8% -4.3% 1/14/2013 2.6% 0.9% 9/16/2013 0.5% 1.3%
5/21/2012 5.5% 1.8% 1/22/2013 0.0% 1.3% 9/23/2013 -1.1% -1.1%
5/29/2012 -3.5% -3.0% 1/28/2013 7.8% 0.7% 9/30/2013 -3.3% 0.0%
6/4/2012 6.3% 3.8% 2/4/2013 2.1% 0.4% 10/7/2013 -1.9% 0.8%
6/11/2012 -0.9% 1.3% 2/11/2013 -5.3% 0.2% 10/14/2013 0.4% 2.4%
6/18/2012 -2.8% -0.5% 2/19/2013 -3.2% -0.1% 10/21/2013 -2.0% 0.9%
6/25/2012 -1.6% 2.0% 2/25/2013 -2.4% 0.1% 10/28/2013 -1.6% 0.1%
7/2/2012 10.3% -0.4% 3/4/2013 2.9% 2.2% 11/4/2013 -2.7% 0.6%
7/9/2012 2.4% 0.2% 3/11/2013 -1.2% 0.7% 11/11/2013 5.9% 1.6%
7/16/2012 -0.4% 0.5% 3/18/2013 -1.3% -0.1% 11/18/2013 -1.6% 0.4%
7/23/2012 1.1% 1.6% 3/25/2013 0.4% 0.7% 11/25/2013 0.0% 0.1%
7/30/2012 -3.2% 0.5% 4/1/2013 -5.4% -1.0% 12/2/2013 3.1% 0.0%
8/6/2012 1.9% 1.1% 4/8/2013 6.7% 2.3% 12/9/2013 -1.1% -1.6%
8/13/2012 0.7% 1.0% 4/15/2013 -0.8% -2.1% 12/16/2013 -0.3% 2.5%
8/20/2012 1.6% -0.5% 4/22/2013 1.8% 1.8% 12/23/2013 0.4% 1.3%
8/27/2012 -0.8% -0.2% 4/29/2013 2.3% 2.0% 12/30/2013 -0.6% -0.5%
9/4/2012 4.0% 2.2%
17
Appendix 8: DCF Calculations
Source: Team estimates
2013F 2014F 2015F 2016F 2017F Residual
Risk Free Rate (10-yr Tbonds) 2.95% 2.95% 2.95% 2.95% 2.95% 2.95%
Market Risk (S&P 500) 10.60% 10.60% 10.60% 10.60% 10.60% 10.60%
Beta 1.0702 1.0702 1.0702 1.0702 1.0702 1.0702
Cost of Equity (CAPM) 11.14% 11.14% 11.14% 11.14% 11.14% 11.14%
Discounted Cash Flow 2013F 2014F 2015F 2016F 2017F Residual
Net Income 348.7 291.0 328.8 351.5 361.4 361.4
D&A 92.5 107.0 108.5 107.5 108.9 108.9
Capital Expenditure 145.0 153.8 163.2 173.2 183.8 183.8
Change in NWC 198.95 31.49 35.58 38.04 39.11 39.11
Proceeds from New Debt Issuance 1,112.60 1,242.89 1,388.43 1,551.01 1,732.64 1,732.64
Repayout of Debt 890.08 994.31 1,110.74 1,240.81 1,386.11 1,386.11
FCFE 319.77 461.26 516.20 557.98 594.01 594.01
PV of FCFE 319.77 415.03 417.90 406.44 389.31
Terminal Growth Rate 2.00%
Perpetuity Cost of Equity 11.14%
Residual Value 6,498.08
PV of Residual Value 4,258.76
PV of FCFE 1,948.43
Value of Equity 6,207.19
Number of Shares Outstanding (in mm) 121.81
Current Share Price as of Jan. 6, 2013 48.91
Implied per Share Value 50.96
18
Appendix 9: Monte Carlo Simulation
Source: Team Estimates
Known Inputs
Discount Rate 11.14%
Historical Debt Issuance to Repayout Ratio 1.25
Number of Shares Outstanding 121.81
CAPEX for 2013 145.00
Proceeds from New Debt Issuance 1,112.60
Uncertain Inputs
Distribution Parameter 1 Paramenter 2 Parameter 3
Terminal Growth Rate 2% Triangular 1% 2% 3%
Distribution Mean Std. Deviation
Capital Expenditure Growth 6.10% Normal 6.10% 5.00%
Proceeds from New Debt Issuance Growth 11.71% Normal 11.71% 5.00%
Parameters of Distributions
Minimum 33.10
Maximum 76.31
Mean 51.19
10th percentile 42.58
90th percentile 58.19
Monte Carlo Simulation Summary Statistics
19
Appendix 10: Industry Peer Multiple Analysis
EV/Total Revenue 2008 2009 2010 2011 2012 2013 2014E 2015E
AN 0.31x 0.47x 0.59x 0.60x 0.58x 0.66x 1.23x 1.15x
DLPH 0.00x 0.00x 0.00x 0.53x 0.83x 1.28x 1.23x 1.15x
KMX 0.00x 0.29x 0.64x 1.36x 1.10x 1.43x 1.34x 1.20x
TRW 0.20x 0.46x 0.54x 0.30x 0.44x 0.56x 0.55x 0.55x
LEA 0.00x 0.49x 0.39x 0.23x 0.28x 0.40x 0.42x 0.39x
SAH 0.24x 0.33x 0.31x 0.28x 0.32x 0.37x 0.36x 0.34x
PAG 0.27x 0.37x 0.37x 0.35x 0.42x 0.51x 0.51x 0.48x
LAD 0.27x 0.37x 0.37x 0.35x 0.42x 0.51x 0.51x 0.48x
ABG 0.26x 0.31x 0.37x 0.35x 0.41x 0.54x 0.52x 0.49x
GPI 0.27x 0.34x 0.38x 0.37x 0.40x 0.44x 0.39x 0.36x
Median 0.25x 0.35x 0.38x 0.35x 0.42x 0.52x 0.52x 0.48x
AN EV/Total Revenue 0.31x 0.47x 0.59x 0.60x 0.58x 0.66x 1.23x 1.15x
Historical Premium 26% 33% 56% 71% 39% 26% 138% 139%
Average Historical
Premium 66%
EV/EBITDA 2008 2009 2010 2011 2012 2013 2014E 2015E
AN 7.76x 11.18x 13.65x 12.60x 12.45x 13.81x 12.84x 11.74x
DLPH 0.00x 0.00x 0.00x 4.23x 5.91x 9.08x 8.53x 7.78x
KMX 0.00x 17.08x 10.26x 18.26x 15.26x 19.12x 17.16x 15.97x
TRW 2.49x 7.59x 4.53x 2.71x 4.32x 5.59x 5.51x 5.18x
LEA 0.00x 14.52x 5.72x 3.17x 4.07x 5.87x 5.92x 5.24x
SAH 7.04x 11.19x 10.14x 8.32x 9.97x 10.99x 10.34x 9.65x
PAG 9.04x 13.58x 12.85x 11.78x 12.66x 14.47x 15.60x 13.82x
LAD 9.51x 9.60x 12.21x 10.32x 10.64x 14.94x 12.47x 10.74x
ABG 8.04x 10.09x 10.08x 10.56x 9.82x 11.49x 10.94x 9.81x
GPI 8.29x 10.41x 11.59x 10.16x 10.83x 11.73x 11.35x 10.08x
Median 7.40x 10.80x 10.20x 10.24x 10.31x 11.61x 11.15x 9.94x
AN EV/EBITDA 7.76x 11.18x 13.65x 12.60x 12.45x 13.81x 12.84x 11.74x
Historical Premium 5% 4% 34% 23% 21% 19% 15% 18%
Average Historical
Premium 17%
P/E 2008 2009 2010 2011 2012 2013 2014E 2015E
AN 14.64x 20.12x 19.66x 16.95x 19.02x 16.95x 14.90x
DLPH 0.00x 0.00x 0.00x 0.01x 10.13x 17.63x 13.74x 12.07x
KMX 0.00x 47.10x 18.45x 21.93x 17.27x 23.67x 20.57x 18.69x
TRW 1.65x 0.00x 8.62x 4.57x 6.82x 9.22x 10.89x 9.78x
LEA 0.00x 0.00x 3.36x 7.76x 9.36x 5.44x 13.38x 10.53x
SAH 2.73x 0.00x 13.01x 7.45x 15.27x 18.32x 12.15x 10.97x
PAG 5.65x 0.00x 15.98x 11.39x 14.70x 18.04x 17.05x 14.75x
LAD 5.65x 0.00x 15.98x 11.39x 14.70x 18.04x 17.05x 14.75x
ABG 3.55x 0.00x 15.24x 19.98x 12.71x 17.33x 15.29x 13.61x
GPI 12.06x 0.00x 25.89x 16.80x 14.10x 17.85x 14.08x 12.53x
Median 2.73x 0.00x 15.61x 11.39x 14.40x 17.95x 14.68x 13.07x
AN P/E 0.00x 14.64x 20.12x 19.66x 16.95x 19.02x 16.95x 14.90x
Historical Premium -100% NM 29% 73% 18% 6% 15% 14%
Average Historical
Premium 26%
Source: Team estimates
20
Appendix 11: Company Comparable Valuation
Source: Team estimates
P/E LTM 2014E
AN EPS 2.87 2.40
AN P/E 19.02x 16.95x
Target AN P/E Price 54.61 40.62
Peer Median EPS 3.22 4.01
Peer Median P/E 17.85x 14.08x
Target P/E Price from Industry Peers 57.49 56.46
Historical Premium 26% 26%
Target AN P/E Price @ Historical Premium from Peers 72.43 71.14
Low Range 40.62
Midpoint 56.52
High Range 72.43
EV/EBITDA LTM 2014E
Peers Median EV/EBITDA 11.61x 11.15x
EBITDA 816.9 791.3
Cash & ST Investments 68.3 150.4
Debt 4457.2 4928.1
Equity Value (USD) 5097.7 4043.9
Shares Outstanding 121.5 121.5
Target EV/EBITDA Price from Industry Peers 41.97 33.29
Historical Premium 17% 17%
Target AN EV/EBITDA Price @ Historical Premium from Peers 49.10 38.95
Low Range 38.95
Midpoint 44.02
High Range 49.10
EV/Total Revenue LTM 2014E
Peers Median EV/Total Revenue 0.52151 0.515655
Total Revenue 17,167 17,487
Cash & ST Investments 68.3 150.4
Debt 4457.2 4928.1
Equity Value (USD) 4,563.97 4,239.69
Shares Outstanding 121.5 121.5
Target EV/Total Revenue Price from Industry Peers 37.56 34.89
Historical Premium 66% 66%
Target AN EV/TREV Price @ Historical Premium from Peers 62.36 57.92
Low Range 57.92
Midpoint 60.14
High Range 62.36
21
Appendix 12: AutoNation’s M&A Timeline
Source: Company Data
Timeline of AutoNation's Acquisitions
2007 2008 2009 2010 2011 2012 2013
Don Mackey
BMW
Collier
Lincoln
Mercury, LLC
Team
Hyundai Mall
of Georgia
Templeton
Family, Inc.
Boardwalk
Auto Group
Mize Import
Group, Inc
King Motor
Company Of
Fort
Lauderdale
Team Toyota
Mall of
Georgia
Boardwalk
Audi
O'Hare
Honda &
Vehicle
Dealerships
Pontiac
Franchise
Boardwalk
Porsche and
Boardwalk
Volkswagen
Store in
Dallas
SanTan
Honda
Superstore
Buick
Franchise
Spring
Chrysler Jeep
Dodge
Hyundai Of
Tempe, LLC
GMC
Franchise
Don Davis
Auto Group
Saturn
Franchise
Acquisitions 6 1 0 2 1 4 5
Total
Acquisitions 19
22
Appendix 13: Financial Analysis Scoring Methodology
Operational Metrics
Solvency Metrics
Liquidity Metrics
Conclusion
Source: S&P Capital IQ and Team Estimates
Weight
Metric Score AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean
3.0% Total Revenue 1 10,666.0 8,401.34 12,461.0 9,861.07 13,832.3 11,346.14 15,668.8 11,946.8 17,167.2 12,631.08
3.0% Total Equity 2 2,303.2 1,568.92 2,078.9 1,784.65 1,894.6 1,566.9 1,688.5 1,782.9 1,993.4 1,918.99
3.0% Return on Capital (%) 4 8.0 6.65 9.28 12.53 10.37 15.47 10.13 14.1 11.05 14.42
3.0% Recurring Earnings/Total Assets (%) 2 7.12 6.5 8.27 8.29 9.21 9.73 9.02 9.38 9.82 9.78
3.0% Net Working Capital/Revenue (x) 1 0.15x 0.11x 0.16x 0.11x 0.15x 0.1x 0.17x 0.12x 0.15x 0.11x
3.0% Asset Turnover (x) 2 1.97x 2.01x 2.09x 1.97x 2.23x 2.13x 2.18x 2.03x 2.33x 2.06x
3.0% Net Working Capital/Total Assets (x) 2 0.3x 0.25x 0.34x 0.23x 0.33x 0.24x 0.37x 0.27x 0.36x 0.26x
3.0% Payables/Receivables (x) 3 0.82x 0.94x 0.77x 0.97x 0.88x 1.21x 0.93x 1.2x 0.98x 1.46x
3.0% Management Rate of Return (%) 4 11.58 8.22 12.84 26.82 14.31 29.5 13.67 23.91 15.01 23.14
3.0% Gross Margin (%) 2 17.91 13.97 17.07 15.46 16.66 15.24 15.87 14.91 15.67 14.96
3.0% EBITDA Margin (%) 4 4.33 4.08 4.58 6.14 4.73 6.35 4.71 6.4 4.76 6.63
33.3% Overall Operational Ranking 2
2009 2010 2011 2012 LTM
Weight
Metric Score AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean9
4.76% FFO Interest Coverage (x) 2 4.35 0.51 2.5 5.83 3.46 4.38 2.4 0.67 3.34 2.01
4.76% EBITDA/Interest Exp. (x) 4 5.9 3.91 5.79 11.28 6.02 10.11 5.57 9.91 5.83 10.41
4.76% FFO to Total Debt (x) 3 0.14 0.12 0.08 0.53 0.11 0.26 0.07 0.21 0.11 0.21
4.76% Net Debt/EBITDA (x) 4 5.01 5.25 5.47 5.26 5.29 4.31 6.19 4.56 5.37 3.94
4.76% Total Debt to Capital (%) 4 51.66 52.31 60.44 55.22 64.44 58.09 72.28 59.25 67.99 58.89
4.76% Total Debt/Total Liabilities (%) 1 80.13 55.73 82.54 59.62 82.38 61.04 84.07 61.67 82.83 62.46
4.76% Total Debt/Revenue (x) 3 0.23 0.19 0.26 0.22 0.26 0.21 0.3 0.23 0.26 0.24
33.3% Overall Operational Ranking 3
2009 2010 2011 2012 LTM
Weight
Metric Score AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean
8.30% (FFO + Cash) to Short Term Debt (x) 2 0.37 7.25 0.18 57.72 0.24 5.94 0.15 5.69 0.2 6.52
8.30% FFO to Gross Profit (x) 3 0.18 0.15 0.12 0.22 0.16 0.2 0.13 0.12 0.17 0.19
8.30% Current Ratio (x) 4 1.22 1.53 1.1 1.47 1.09 1.43 1.05 1.45 1.02 1.45
8.30% Quick Ratio (x) 4 0.31 0.71 0.23 0.59 0.27 0.6 0.24 0.56 0.2 0.57
33.2% Overall Operational Ranking 3
2009 2010 2011 2012 LTM
Company Financial Condition
Overall Score
Average
Operational Above Average
Solvency Average
Liquidity Average
Financial Category Score
CFA Institute Research Challenge
hosted by
CFA societies Florida
Team/University Name
Disclosures:
Ownership and material conflicts of interest:
The author(s), or a member of their household, of this report does not hold a financial interest in the securities of this company.
The author(s), or a member of their household, of this report does not know of the existence of any conflicts of interest that might bias
the content or publication of this report.
Receipt of compensation:
Compensation of the author(s) of this report is not based on investment banking revenue.
Position as a officer or director:
The author(s), or a member of their household, does not serve as an officer, director or advisory board member of the subject
company.
Market making:
The author(s) does not act as a market maker in the subject company’s securities.
Disclaimer:
The information set forth herein has been obtained or derived from sources generally available to the public and believed by the
author(s) to be reliable, but the author(s) does not make any representation or warranty, express or implied, as to its accuracy or
completeness. The information is not intended to be used as the basis of any investment decisions by any person or entity. This
information does not constitute investment advice, nor is it an offer or a solicitation of an offer to buy or sell any security. This report
should not be considered to be a recommendation by any individual affiliated with CFA societies Florida, CFA Institute or the CFA
Institute Research Challenge with regard to this company’s stock.
CFA Institute Research Challenge

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FIU CFA Research Challenge Report - 2013-2014

  • 1. CFA Institute Research Challenge hosted by CFA societies Florida Florida International Universtity
  • 2. Florida International University Student Research This report is published for educational purposes only by students competing in the CFA Institute Research Challenge. [Automotive Retail, Consumer Discretionary Sector] Date: 01/09/2014 Current Price: USD 49.00 Recommendation: BUY Ticker: AN:NYSE Target Price: USD 52.26 HIGHLIGHTS Good Point of Entry: We issue a BUY recommendation for AN with a target price of 52.36 and a holding period return of 6.65%. AN is expected to reach the target implied share price by the second quarter of 2014, an implied return of 6.65%. AutoNation is the strongest revenue generator in the automotive retail industry, with a market share in new vehicle sales of 29.7%. The company is in a two-stage growth trend and it has experienced the “first-stage” phase in the past 3 years. The significant growth, which has added value to the shareholder, with EPS growing from USD 1.12 to 2.87 in the last twelve months for a total of 156% or 26% annualized will continue as the company enters the “second-stage” in the forecasted period. Strong Revenues: Strategic acquisitions, a highly effective management, and strong competitive advantage has positioned AN to capitalize from the economic recovery. The larger sales network of AutoNation has propelled continuous growth in new vehicle market and allowed to capture tremendous growth from positive industry and macroeconomic trends, with EBITDA growing from USD 461 million to 816.9 million, or 77% (or 15% annualized) since 2009. As a result, AN has enjoyed strong revenue growth after the financial crisis, with revenues growing 29.7%, from USD 13 million in 2008 to 17 million in the last twelve months, or at a compound annual rate of growth of 5.3%. The company is currently in the “first stage” of a two-stage growth trend Key Revenue growth drivers: A Highly Effective Business Model with Strong Operational Metrics  The development and implementation of an enterprise information system will increase productivity and overall efficiency. The introduction of an online web portal will create synergies among stores and add value to the selling channels. As a result, AN will be strategically positioned to capture demand from the forecasted economic expansion  Large distribution channels through the acquisition of 19 companies in the past 4 years have significantly increased market penetration and brand positioning. As AN develops the brand further, the company will be able to retain repeat consumers and capture new consumer entrants Investment Risks: The main risks AN faces are from fluctuations in economic conditions, solvency, and short-term liquidity. The high level of debt taken on by the firm in its expansion efforts poses challenges if combined with an economic slowdown. 52-week Price Range 40.30 - 54.49 Average Daily Volume 880 540 As % of shares outstanding 0.72% Altman's Z-Score 4.56 2013 Dividend Yield - Shares Outstanding 121 810 000 Market Capitalization 5.99 B Insiders Holdings 47.33% BV per Share 16.37 ROE 2013E 12.4% Debt to Capital 2013E 66.41% P/BV 3.04 P/E 17.39 Market Profile AutoNation daily stock prices Valuation DCF Company Comparables Estimated Price 50.96 53.56 Weights 50% 50% Target Price 52.26 Source: Team estimates Source: Bloomberg Source: S&P Capital IQ AutoNation, Inc.
  • 3. COMPANY ANALYSIS AutoNation, Inc., through its subsidiaries, operates as an automotive retailer in the United States. As of December 31, 2012, the company owned and operated 267 new vehicle franchises from 221 stores located in the United States, predominantly in major metropolitan markets in the Sunbelt region. STRONG & DIVERSIFIED BUSINESS MODEL Revenue Drivers. The company has highly diversified revenue drivers within the sale of vehicles. The company’s stores sell 32 different new vehicle brands. It offers a diversified range of automotive products and services, including new vehicles, used vehicles, ‘parts and services,’ which includes automotive repair and maintenance services, as well as wholesale parts and collision businesses, and automotive ‘finance and insurance’ products, which includes the arranging of financing for vehicle purchases through third-party finance sources. Segments. AutoNation operates in three main segments: Import, Domestic, and Premium Luxury. The Import vehicles segment, which accounts for 37% of their revenues; consist of retail automotive franchises that sell new vehicles manufactured by Toyota, Honda, and Nissan. The Domestic vehicles segment, which account for 33% of revenue, comprise retail automotive franchises that sell new vehicles manufactured primarily by General Motors, Ford, and Chrysler. Additionally, the Luxury vehicles segment, which account for 29% of revenue, comprises retail automotive franchises that sell new vehicles manufactured primarily by Mercedes-Benz, BMW, and Lexus. In addition to auto sales, AutoNation provides maintenance and Auto Parts Sales and Services, and Finance & Insurance Services. Each service took a significant market share in its sub- industry sector (see Figure 3). The full coverage of auto service generates the company the ability to provide convenient one-station service to consumer and the ability to pursue pricing competitively through package sales as a whole. Its pricing strategy is flexible. After Japan's March 2011 earthquake, inventory of new vehicles in the U.S. bottomed at 49 days in June. AutoNation applied a new pricing software tool to test customer reaction to online prices, with an attempt to wire every possible dollar out of the increasing scarce Camrys and Accords. As a result, AutoNation expanded its gross margins to 17%. Strategy. The company seeks to create long-term value for stockholders by being the most profitable automotive retailer in the United States. To achieve and sustain operational excellence, the company is in the process pursuing the following strategies:  Creating an industry-leading automotive retail consumer experience, both in stores and online  Improve operating efficiency by leveraging significant scale and cost structure  Build a powerful AutoNation retail brand that represents a consistently superior customer experience.  Increase of market share through mergers and acquisitions TALENTED MANAGEMENT WILL CONTINUE TO ADD VALUE TO THE COMPANY AutoNation management has a combined 130 years of experience in the automotive industry. Currently, the management team of AutoNation consists of five (5) members. The team is led by Mike Jackson, Chairman of the Board of Directors and CEO since 1999, a veteran of the auto industry. Prior to joining AutoNation, Mr. Jackson worked from 1990 to 1999 at Mercedes Benz USA, DaimlerChrysler AG’s North American operating unit, where he held several high-ranking positions including Chief Executive Officer (1997-1999). Under his leadership, AutoNation has become the leader in the auto retailer industry. The remaining management team members brings a vast experience of the auto industry: Michael E. Maroone and Alan J. McLaren, and automotive related corporate governance development: Jonathan P. Ferrando. Cheryl Scully is the interim CFO due to Mike Short’s departure on January 7, 2014. New Vehicle Sales Used Vehicle Sales Auto Parts Financial Service 29.47% 14.65% 4.75% 32.72% Figure 3. Bloomberg Data Terminal 2012 Sub-Market Share for AutoNation Figure 4. Company data 77% 21% 2% Ownership Structure Ownership (Institutional) Ownership (Retail & Other) Ownership (Insider) 37% 33% 29% 1% Breakdown of 2012 Revenues Import Domestic Premium Luxury Corporate and other Figure 1. Company Data Figure 2. Bloomberg Data Terminal 29.47% 25.30% 15.60% 14.20% 8.63% 6.11% 0.69% AN PAG SAH GPI ABG LAD KMX 0% 10% 20% 30% Market Share by 2012 Revenues
  • 4. INDUSTRY ANALYSIS AND COMPETITIVE POSITIONING In the U.S. Retail Automobile Industry, long-term vehicle sales growth is largely dependent on population growth, public transportation usage, and economic conditions (we determined per capita income predominately determines the turnover rate at which owners replace their existing vehicles.) POPULATION GROWTH DRIVING AUTOMOBILE DEMAND MOMENTUM U.S. Automobile demand Outlook driven by steady Population Growth According to the Census Bureau, growth in U.S. population will increase slightly over 1% per year for the next 12 years1 Given this estimate, we can project that there will be an additional 37 million adults in the United States from 2013 to 2025. This adult population growth would satisfy our projections that population growth will continue to drive demand for the U.S. Automobile Industry. Growth in the Household Sector will continue to drive Vehicle Demand through 2025 Since 1990, the number of U.S. households has grown at a rate consistent with the annual growth rate in adult population of approximately 1.2%. Assuming that the number of households continues to grow at a steady rate, the number of U.S. households can be expected to reach 137 million by 2025. Based on trends in U.S. households and holding the assumption of 2.07 vehicles per household (see Figure 6), it is estimated that by 2025, there will be 271 million vehicles in the United States, an increase of 30 million (or 1% annualized) growth from 238 million in 2012. (See Appendix 5 for Vehicle Demand Projections.) Vehicle use will remain as the primary form of transportation for years to come. Analyzing the U.S. households as a whole, only 53 percent of U.S. households had access to public transportation and less than 9% use it regularly (See Figure 5). With close to 87% of individuals in households driving or carpooling to work, the operation of a motor vehicle still remains as the primary mode of transportation for U.S. households collectively. According to the 2007 American Household Survey, 29% of U.S. households were located in central cities, compared with 71% percent living in suburbs and rural areas. 26% and 19% of Households located in central cities did not own a vehicle and used public transportation regularly, respectively. AUTO RETAIL INDUSTRY: DEMAND DRIVEN BY MACROECONOMIC FACTORS The automotive retail industry is sensitive to changing economic environments. Various macroeconomic factors affect sales of new vehicles and automotive retailer’s profits. The 5 major factors we analyze are GDP growth, Interest Rate, unemployment rate, consumer confidence, and fuel price. We ran a correlation analysis to identify the relationship between Car sales and these factors (see Figure 7). Originally, we believe auto sales and consumers’ confidence are highly correlated. However, it surprised us when the result of their correlation coefficient is -0.149 (see Figure 8). We believe the main reason is because consumer's confidence is a leading index of auto sales. Generally, high consumer confidence should lead to higher sales. From our research, the consumer confidence in automobile continues increasing since 2008 and reaches its highest level in 2012 and 2013. We believe this supports our assumption that auto retail sales will increase in the coming period after 2013 (See Figure 9 for Auto Sales Forecast) The other three factors are highly related to auto sales. Especially, GDP Growth and unemployment, with a 0.717 and -0.865 correlation coefficient with auto sales, respectively. The continuously improving economic environment since 2008 financial crisis strongly 1 Source: U.S. Census Bureau, Population Division, “Projections of the Population by Selected Age Groups and Sex for the United States: 2010-2050,” August 14, 2008: (NP2008-T2). Based on current U.S. Population of 314 million Figure 7. Team estimates, Bloomberg Industry Outlook GDP Growth 0.717 Unemployment -0.865 Gasoline Price 0.654 Prime Rate 0.585 Consumer Confidence -0.149 Auto Sales Figure 8. Team estimates, Bloomberg Data Terminal 0 0.5 1 1.5 2 2.5 1950 1960 1970 1980 1990 2000 2010 2020 Vehicles per Household Figure 5. U.S Census Bureau, Current; R.L. Polk 71% Public Transportation Usage Rate Suburban and Rural Households City Households Figure 6. U.S Department of Housing and Urban Development 9% Use Public Transportation 29%
  • 5. supports an assumption on auto retail sales expansion (See Figure 10 for Auto Sales Recovery since the 2008 crisis.) Developing Economy: A Driving force for Vehicle Demand According to GDP consensus forecasts2, real GDP growth is forecasted to increase to 2.6% and 3.0% in 2014 and 2015 respectively from 1.7% in 2012 (see Appendix 6 for GDP forecast distribution charts). In addition, the level of unemployment will remain on a continuous drop to 6.8% in 2014 and 6.3% in 2015 (see Figure 11 for Economic Expansion Forecast). In addition, personal wages and spending are reported to rise 0.1% and 0.4%, respectively, both of which are a broad measure of the consumption of goods and services. Therefore, GDP growth is forecasted to continue its increasing trend, growing at a pace of 3.0% and 2.9% in 2016 and 2017, respectively. However, we cannot rule out the potential risk of occurrence of economic events and its impact on auto retail industry. Thus, in next sections we will model in our valuations different economic scenarios and its impact in the company’s stock price. Buyers Return to New Car Market: High pent up demand will continue to drive momentum in vehicle sales and absorb inventory levels In terms of inventory, the number of days needed to sell a new car was on increasing trend between 2009 and 2012; from a low of 47 days to 61 days (see Figure 12.) The high inventory level pushes automakers to increase incentives for promotion, which in return lure more new car buyers. Overall, supply and demand is reasonably aligned, but with units on hand at a multiyear high, we can expect further promotions by automakers and, thus, continued sales. The reason why days to turn slowed down is mainly because as the sales approaching its historical level, the pent up demand due to 2008 financial crisis is being absorbed. The forecast of sales growth in the coming few years is expected to be at 1.4%. STRONG POSITIONING TO GAIN MARKET SHARE IN AUTO RETAIL INDUSTRY Auto retail industry is a highly regulated and competitive industry. The total number of U.S. franchised automotive dealerships was approximately 15,900 at the end of 2012, and the total number of U.S. independent used vehicle dealers was approximately 37,900 in 20123. Competitors include public companies, private companies, and online marketplaces. We believe that the principal competitive factors in the automotive retail business are location, service, price, and selection. Efficient Sales Network: Key driver in a highly competitive market AutoNation is the # 1 auto dealer in the U.S. The firm owns 265 new-vehicle franchises in 14 states, predominantly in online sales through AutonNation.com and individual dealer websites. Despite the fact that the largest competitor, Penske Automotive (PAG), has more locations, its market share of auto sales is less than AutoNation’s (see Figure 13). This indicates AutoNation is more efficient in using its sales network, which includes dealership and online sales. Based on this market share analysis, we get HHI ratio 425.81 for Auto Retail industry, which is much lower than the hurdle rate 1500 defined as "not concentrated". The HHI analysis supports our assumption that the Auto Retail Industry is highly competitive. INVESTMENT SUMMARY Good entry point for a growth stock We issue a BUY recommendation for AutoNation, Inc. with a target price USD 52.26 and 6.33% upside from current price level. AutoNation’s position as leader of the U.S. Retail Automobile Industry, efficient dealership management and sound expansion strategy will allow the company to continue gaining from the current positive market conditions. In the last year, AN share price has increased by 16.55%, fueled primarily by continued consumer 2 GDP Consensus Forecasts consist on 77 financial firms: Including the Federal Reserve and leading financial institutions 3 Bureau of Transportation Statistics Figure 12. Bloomberg Industry Outlook, Data Terminal Auto Retail Industry Market Share in 2012 Figure 13. Bloomberg Data Terminal Figure 10. Bloomberg Data Terminal Figure 11. Team estimates, Bloomberg Data Terminal Figure 9. Team estimates, Bloomberg Data Terminal 0 5 10 15 20 2000 2005 2010 2015 Auto Sales Forecast Auto Sales Prime Rate Consumer Confidence
  • 6. demand for new cars. The company is expected reach pre-recession revenue levels of 18 billion by 20174. In the past four years EPS and EBITDA has experienced significant growth, each growing at an annualized rate of 26% and 15%, or total of 156% and 77% respectively. Even though the stock has recently traded at a premium compared to its peers, we expect continued growth in share price if no major economic event occurs that could potentially hinder the current automotive industry trend. Valuation methods The target price was derived by applying equal weights to DCF valuation and Company Comparable valuation. It is our opinion that both methods should not be differentiated. The DCF valuation used was Free Cash Flow to Equity and the Company Comparable valuation selected peer companies that reflected similar growth trends and strategies as AutoNation. Two-Stage Growth will continue to drive shareholder value AN has experienced a multi-year growth after the financial crisis, which has bolstered shareholder value in the short and medium-term. The economic recovery from 2009 to the last twelve months has driven revenues, with EPS and EBITDA growing from USD 1.12 and 461 in 2009 to 2.87 and 816 LTM, respectively. We categorize this growth as the “first stage” phase of the two stage growth that AN will experience. Namely, the aggressive acquisition strategy and enterprise efficiency development has allowed AN to position itself to capitalize on the economic recovery. As the economy continues to expand and enter an expansionary phase through the forecasted period, we project the company to enter the “second stage” of its long-term growth phase, making the investment a good entry price at its current value. VALUATION The valuation process of AutoNation (AN) consists on standard approaches- The Discounted Cash Flow (DCF) model and the Company Comparable model through relative and future trading multiples. In our process, we will incorporate stress analysis of key assumptions of the models to illustrate stock price volatility to changing economic conditions. DISCOUNTED CASH FLOW VALUATION: FCFE MODEL We are evaluating AN using the Discount Cash Flow (DCF)- Free Cash Flow to Equity (FCFE) through the Perpetuity method as we believe this analysis is a highly suitable method to model the company because the stability of its capital structure. We are utilizing the Free Cash Flow to Equity approach because the firm’s leverage will not change over the forecasted period and it has remained stable over the past five years. In addition, AN is currently in a Two-Stage growth phase; therefore, FCFE will appropriately illustrate the present value of the future cash flows of the company through its years of growth. According to our Discounted Cash Flow analysis, the target price for AN is USD 50.96. The DCF is driven by the following fundamental factors: Sales Forecast The five-year forecasted free cash flows are driven by sales and we identified through our correlation analysis that the strong relationship of .717 between GDP growth to vehicle sales serves a key determinant to AN’s total revenue projections. Given the company’s growth phase, overall economic cycle, and leading consumer confidence levels, it is suitable to utilize a two-stage growth model approach to forecasting sales. As a result, AN will likely sustain a robust sales growth during the years of 2014-2016, albeit more stabilized by the terminal year of 2017 (see Figure 16) The forecasted sales is derived from the product of the consensus on GDP growth for the forecasted period and the correlation to auto sales and should serve as a very conservative estimate of AN’s sales growth. (See Appendix 2 for Income Statement Forecast) 4 According to Team estimates Figure 16. Team estimates AutoNation Sales Forecast 2014E 2015E 2016E 2017E Revenue 16,663 17,010 17,376 17,737 Finance Division 665 679 694 708 Other Revenue 159 162 165 169 GDP Correlation 0.717 0.717 0.717 0.717 Consensus GDP Forecast 2.64% 2.90% 3.00% 3% Target Growth Rate % 1.90% 2.10% 2.20% 2.10% Total Forecasted Revenue 17,487 17,851 18,235 18,614 Figure 14. Company Data and Team estimates 40.62 38.95 57.92 45.83 72.43 49.10 62.36 61.30 30 40 50 60 70 80 P/E EV/EBITDA EV/TREV Mean Price Peer Valuation Ranges Figure 15. Company Data and Team estimates
  • 7. Capital Expenditures (CAPEX) AN’s CAPEX for 2013 are expected to be 145 million5. To forecast CAPEX for 2014-2017 and beyond, we assumed an annualized growth rate of 6.1%, derived from an average 3-year CAGR from historical capital expenditures. AN is likely to continue growing its capital expenditure as it invests heavily in transforming its IT infrastructure to develop a more engaging online experience for its end-customer. Capital Asset Pricing Model: Cost of Equity The cost of equity was calculated using the CAPM. We used the 10-year US Government Bond Yield of 2.95% as risk-free rate. The beta was calculated by the correlation between AN and the market, for which we used S&P 500 returns as a market proxy (see Appendix 7 for Beta Calculations) which yielded a beta for AN of 1.0702, which we have determined to remain relatively stable due to the maturity of the automotive market. The expected market return of 10.60% used is derived from analyst consensus of the S&P 500 expected returns. Five-Year Cash Flow Assumptions In order to obtain change in NWC, Current Assets were forecasted with a growth rate of 4.34% by using a 3-year CAGR and applied an expected ratio of Current Assets to change in NWC of 11.1% derived from historical averages. Proceeds from New Debt Issuance were forecasted using a 3-year CAGR average which yielded a growth rate of 11.71%. For Repayout of Debt, we used a historical 1.25 New Debt Issuance to Repayout of Debt Ratio. (See Appendix 8 for DCF Calculations) Residual Growth Rate Residual growth rate of 2% is based primarily economic analysts’ consensus for long-term US Inflation rate of 2%. We performed a Monte Carlo simulation in order to test to what extent AN’s stock price will be affected by a change in the US Inflation rate, setting a floor of 1% and a ceiling of 3%. To further test different scenarios, additional variables were included in the simulation, such as CAPEX and Proceeds from New Debt Issuance growth rates. The mean price obtained was USD 51.19, which is relatively close to the DCF FCFE estimate of USD 50.96, and still yields a BUY recommendation. (See Figure 18 and Appendix 9 for Monte Carlo Simulation results). COMPANY COMPARABLE VALUATION: P/E, EV/EBITDA, EV/TREV In analyzing AN through the Company Comparable Valuation method we arrived to a target price of USD 53.56, with a high of 61.3 and a low of 45.83 by comparing the values assessed by the market for AN’s comparable industry peers. We identified the peer universe by analyzing the industry where the subject company mainly operated and obtained a narrow peer group derived from the last twelve month’s total revenues from each firm. We have applied the median multiplier from all peers to derive to AN’s implied share price. Our multiplier analysis indicates that AN’s EV/Total Revenue has historically traded at a premium from its peers, with an average premium of 66%. In terms of P/E and EV/EBITDA the multiples have also traded at historical premiums, albeit much lower at an average premium of 26% and 17% respectively (see Figure 19 and Appendix 10 for Peer Multiplier Analysis.) The reasoning behind the premium in multiples, especially EV/Total Revenue, can be attributed to the stronger and more efficient revenue generation through the sales channels of the company and we believe the trend will continue as the company makes strategic acquisitions and strengthens its network. As a result, we have applied the historical premium to the median industry multiples to assess the implied value of AN. (See Appendix 11 for Company Comparable Valuation) 5 According to the company’s Q3 2013 Quarterly Earnings Report Figure 17. Bloomberg Data Terminal and Team estimates Figure 19. Team Estimates Figure 18. Team Estimates
  • 8. FINANCIAL ANALYSIS AutoNation (AN) enjoys from an effective and efficient business model with strong operational metrics and an improving balance sheet. AN generates above-industry revenues due to its efficient sales network and lean cost structure. We have developed a ranking model to assess AN’s operational, solvency, and liquidity ratios to benchmark the company against its peers6. We have issued AN a ranking of “Average” in terms of overall company health. The factors that drive our analysis include:  Operating Metrics: An efficient business model and large sales network results in high asset and inventory turnover ratios, which has allowed AN to capture the largest new vehicle market share and will continue to position the company to capitalize on vehicle sales in the forecasted period. We have ranked AN’s operational performance as “Above Average” within the industry  Solvency Metrics: AN’s focus on effective capital allocation strategy has allowed the company to make strategic acquisitions that have positioned the company to heavily capitalize from periods of economic expansion and enable AN to continue to maximize shareholder value. Although the company has seen continued development on solvency, AN’s capital structure is composed of a high level of debt. As such, we have issued an “Average” ranking within the industry  Liquidity Metrics: Although AN has an investment-grade balance sheet is continues to see a developing trend after the culmination of the aggressive acquisition strategy since 2007. We believe solvency and liquidity will be one of the most challenging factors that AN’s management will encounter in the forecasted period. As a result, we have issued an “Average” ranking among all other peers in the industry. OPERATIONAL METRICS: TOP PERFORMER IN THE AUTOMOBILE INDUSTRY Multi-Year Revenue Recovery: Aggressive Acquisition Strategy drives sales growth Following the backlash in industry-wide sales in 2008, AN experienced surging revenue growth in addition to the factor attributable to overall economic development. As a result of the M&A environment, AN strategically positioned itself to capitalize from a developing economy, as it increased its market share and product offering throughout the nation (see Figure 20 for Effect of Acquisitions on Sales Growth). The increase in its store portfolio, particularly in 2007, allowed AN to outperform its industry peers in terms of total revenue. With the total number of acquisitions made by AN accounting to 19 from 2007 to 2013 culminating with the acquisition of O’Hare Honda & O’Hare Hyundai Vehicle dealerships which are expected to generate annual revenues of USD 85 million7, we see the multi-year trend in sales recovery to sustain as the economy continues to expand in the forecasted period. (See Appendix 12 for AutoNation’s M&A Timeline) SOLVENCY METRICS: CONTINUED RECOVERY FOLLOWING AGGRESSIVE ENTERPRISE TRANSFORMATION Lean Cost Structure: Increase in Productivity will push down SG&A, improve margins, and create Synergy among stores AN’s management has developed a very lean cost structure, with SG&A decreasing at a faster rate than total revenues. The decrease in its cost structure is attributed to the company’s development of its online portal, which will increase associate productivity and efficiency and reduce general and administrative costs of doing business from store to store. Management developed this lean and flexible business model as a result of the backlash from the financial crisis, in order to decrease costs and increase productivity. The online portal will result in increased synergies among old and newly acquired stores, which will continue to drive same store sales. Therefore, as SG&A expenses continue to be pushed down in the 6 Analysis Based on ratios benchmarked against industry peers. See Appendix 13 for Scoring Methodology 7 Source: Company Q3 2013 Quarter Earnings Call Figure 20. Team estimates Figure 21. Team estimates Figure 22. Team estimates
  • 9. 52.0 54.0 56.0 58.0 60.0 62.0 64.0 66.0 68.0 0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 2008 2009 2010 2011 2012 LTM Cash Generation Efficiency Avg. Days Sales Out. Avg. Days Payable Out. Avg. Days Inventory Out. Avg. Cash Conversion Cycle future, the online portal will allow AN to further penetrate the market and the effect will result in higher profit margins (See Figure 22 for Effect of Cost Structure on Margins.) High Efficiency Performance: Increase in Inventory turnover and cash conversion cycles improve Balance Sheet AN’s focus on growth through expansions and enterprise-wide efficiency will continue to develop the overall financial condition. Through the expanded sales network, AN has capitalized on the overall economic expansion. Combined with the increased productivity, average days to sell inventory has decreased from 66.7 days in 2008 to 58.6 days in the last twelve months (see Figure 23 for Cash Generation Efficiency). The improved inventory turnover level has decreased the cash conversion cycle, which in turn has driven the cash position and developed overall liquidity. As the economy develops in the forecasted period we believe AN will be particularly well-positioned to continue improving its average days to sell and conversion cycles, which will continue to improve the balance sheet, the ability to service current debt, and boost short-term liquidity. INVESTMENT RISK & SCENARIO ANALYSIS SYSTEMATIC RISK Highly Sensitive to Macroeconomic Factors An economic slowdown may potentially affect all business segments severely. This is not likely to happen within the next 3 year span according to our findings and analysts’ consensus as GDP growth continues to increase, unemployment continues to decrease, and other key indicators continue to signal robust economic growth. (See Figure 24 Net Income Sensitivity to changes in GDP). Disruptive Events Events such as the previous earthquake in Japan or the recent Government shutdown could negatively affect all segments revenue streams by disrupting supply or demand trends. OPERATIONAL AND FINANCIAL RISK Management Effectiveness Crucial factor in order to prevent a potential downgrade by Moody’s if debt/EBITDA were to rise above 4x, or if EBIT/interest expense fell below 5x. The recent news of CFO Mike Short stepping down may lead to some instability that may be reflected in the stock price, depending on who is chosen as his replacement. Cheryl Scully, who’s served as Vice President and Treasurer for the company for over four years, has stepped up as interim CFO while the Company conducts a search for a new candidate. Legal Proceedings Legal contingency expenses have been mostly accrued and hedged for, but unfavorable results could severely affect the bottom line. They occur frequently, which is normal for corporations of that magnitude who deal with ongoing labor disputes of all matters. ENVIRONMENTAL RISK Highly Competitive Environment The fast growing number of competitors could potentially decrease future market share. Also, there is a potential weakness in the import segment due to competitors’ volume-based incentives. AutoNation’s new centralized Branding Strategy will help hedge this risk along with its current competitive advantage. This environment may also lead to increasing prices, which in turn may limit growth through Mergers and Acquisitions in the future. Figure 24. Team estimates Figure 23. Team estimates
  • 10. REGULATORY RISK Government Regulations Are going currently through changes which could affect the competitive advantage held by AN. Specifically The Dodd-Frank Wall Street Reform and Consumer Protection Act may lead to additional and indirect regulation of automotive dealers, in particular, their sale and marketing of finance and insurance products, through its regulation of automotive finance companies and other financial institutions. In the Q3 Earnings Call AutoNation ensured the threat was hedged to its shareholders ensuring a minimal impact but still leaving a small room of uncertainty. Source: Team estimates Overall AutoNation is well positioned in terms of investment risk As its exposure to severe risk is well hedged and limited; this is seen below in the risk Matrix, which rates the risks AutoNation will be facing in terms of exposure and severity in the upcoming years, as its leaning towards the bottom left (Green) indicating its strength. 5 4 Catastrophic Disruptive Events Economic Slowdown 3 Loss of Market Share 2 New Government Regulations Legal Disputes Increasing Competitive Environment 1 Management Effectiveness New Technological Trends 1 2 3 4 5 S e v e r i t y Exposure Investment Risk Matrix
  • 11. 10 Appendix 1: Balance Sheet Source: Team estimates BALANCE SHEET 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E ASSETS Cash And Equivalents 110.2 173.5 95.1 86.6 69.7 150.4 163.6 178.5 194.5 210.9 Total Cash & ST Investments 110.2 173.5 95.1 86.6 69.7 150.4 163.6 178.5 194.5 210.9 Accounts Receivable 194.1 183.9 213.9 229.7 254.1 291.5 317.2 346.1 377.0 408.9 Other Receivables 34.7 52.3 37.5 51.6 39.4 59.4 64.6 70.5 76.8 83.2 Total Receivables 228.8 236.2 251.4 281.3 293.5 350.9 381.7 416.6 453.8 492.1 Inventory 1,758.1 1,392.8 1,867.0 1,809.2 2,396.9 2,485.5 2,704.0 2,950.7 3,214.5 3,485.8 Finance Div. Loans and Leases, ST 141.4 170.2 210.6 306.1 404.9 327.3 356.1 388.6 423.3 459.1 Deferred Tax Assets, Curr. 65.7 72.1 60.0 41.8 44.7 79.0 85.9 93.8 102.1 110.8 Other Current Assets 419.3 223.6 144.7 151.2 151.4 302.0 328.6 358.6 390.6 423.6 Total Current Assets 2,723.5 2,268.4 2,628.8 2,676.2 3,361.1 3,695.1 4,019.9 4,386.7 4,778.9 5,182.2 Gross Property, Plant & Equipment 2,434.8 2,340.0 2,527.6 2,707.5 2,921.9 3,515.3 3,824.2 4,173.2 4,546.3 4,929.9 Accumulated Depreciation (635.9) (626.4) (689.6) (756.8) (826.8) (959.2) (1,043.5) (1,138.7) (1,240.6) (1,345.2) Net Property, Plant & Equipment 1,798.9 1,713.6 1,838.0 1,950.7 2,095.1 2,556.0 2,780.7 3,034.4 3,305.7 3,584.7 Goodwill 1,125.7 1,122.8 1,142.4 1,172.2 1,237.4 1,582.8 1,721.8 1,879.0 2,047.0 2,219.7 Other Intangibles 177.7 174.8 202.0 217.8 291.3 286.3 311.4 339.8 370.2 401.5 Deferred Tax Assets, LT 51.2 - 2.5 3.0 - 26.2 28.5 31.1 33.9 36.8 Other Long-Term Assets 137.1 127.7 160.5 178.9 218.1 221.3 240.8 262.8 286.2 310.4 Total Assets 6,014.1 5,407.3 5,974.2 6,198.8 7,203.0 8,357.3 9,091.7 9,921.4 10,808.4 11,720.5 LIABILITIES Accounts Payable 134.6 151.7 164.0 202.4 235.8 239.5 260.5 284.3 309.7 335.9 Accrued Exp. 36.8 1.6 27.8 23.6 22.6 30.1 32.8 35.7 38.9 42.2 Short-term Borrowings 1,813.5 1,374.6 1,866.4 1,898.8 2,540.2 2,552.5 2,776.9 3,030.3 3,301.2 3,579.8 Curr. Port. of LT Debt 33.3 7.6 8.1 12.6 29.8 24.2 26.3 28.7 31.3 33.9 Curr. Income Taxes Payable 2.0 - 10.7 - 3.2 7.2 7.8 8.5 9.3 10.0 Other Current Liabilities 435.6 327.9 322.4 325.2 370.1 486.2 528.9 577.2 628.8 681.9 Total Current Liabilities 2,455.8 1,863.4 2,399.4 2,462.6 3,201.7 3,336.8 3,630.0 3,961.3 4,315.5 4,679.6 Long-Term Debt 1,225.6 1,105.0 1,340.6 1,634.4 2,066.3 1,977.4 2,151.2 2,347.5 2,557.4 2,773.2 Pension & Other Post-Retire. Benefits 22.1 25.1 - - - 34.8 37.8 41.3 44.9 48.7 Def. Tax Liability, Non-Curr. - 24.6 25.9 62.3 89.4 65.5 71.2 77.8 84.7 91.8 Other Non-Current Liabilities 112.5 86.0 129.4 144.9 157.1 169.6 184.5 201.3 219.3 237.8 Total Liabilities 3,816.0 3,104.1 3,895.3 4,304.2 5,514.5 5,550.1 6,037.9 6,588.9 7,177.9 7,783.7 Common Stock 1.9 1.9 1.6 1.6 1.6 2.6 2.8 3.1 3.3 Additional Paid In Capital 481.8 480.2 2.0 19.6 26.6 294.4 320.2 349.4 380.7 412.8 Retained Earnings 2,023.0 2,221.0 2,365.2 2,646.6 2,963.0 3,311.7 3,602.7 3,931.5 4,283.0 4,644.4 Treasury Stock (307.9) (399.9) (289.9) (773.2) (1,302.7) (801.1) (871.5) (951.0) (1,036.0) (1,123.5) Comprehensive Inc. and Other (0.7) - - - - (1.0) (1.1) (1.2) (1.3) (1.4) Total Common Equity 2,198.1 2,303.2 2,078.9 1,894.6 1,688.5 2,807.2 3,053.8 3,332.5 3,630.5 3,936.9 Total Equity 2,198.1 2,303.2 2,078.9 1,894.6 1,688.5 2,807.2 3,053.8 3,332.5 3,630.5 3,936.9 Total Liabilities And Equity 6,014.1 5,407.3 5,974.2 6,198.8 7,203.0 8,357.3 9,091.7 9,921.4 10,808.4 11,720.5
  • 12. 11 Appendix 2: Income Statement Source: Team estimates INCOME STATEMENT 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E Revenue 12,722.2 10,270.3 11,994.3 13,304.8 15,020.8 16,358.2 16,663.1 17,009.6 17,375.5 17,736.8 Finance Div. Revenue 455.7 348.6 418.9 474.5 571.2 653.3 665.5 679.3 693.9 708.4 Other Revenue 60.8 47.1 47.8 53.0 76.8 155.7 158.6 161.9 165.4 168.8 Total Revenue 13,238.7 10,666.0 12,461.0 13,832.3 15,668.8 17,167.2 17,487.2 17,850.8 18,234.8 18,614.0 Growth Rate % (0.2) 0.2 0.1 0.1 0.1 0.0 0.0 0.0 0.0 COGS 11,013.7 8,756.2 10,333.5 11,528.3 13,182.4 14,477.7 14,573.4 14,880.7 15,239.2 15,576.1 Gross Profit 2,225.0 1,909.8 2,127.5 2,304.0 2,486.4 2,689.5 2,913.9 2,970.2 2,995.6 3,037.8 S&GA 1,675.1 1,446.9 1,552.1 1,649.4 1,749.5 1,876.7 2,118.8 2,146.8 2,146.2 2,169.6 R&D Expense - - - - - - - - - - D&A 84.0 76.7 76.8 83.7 87.3 92.5 107.0 108.5 107.5 108.9 Other OPEX 14.4 1.0 4.8 0.2 (0.4) (4.1) (0.0) (0.0) (0.0) (0.0) Total OPEX 1,773.5 1,524.6 1,633.7 1,733.3 1,836.4 1,965.1 2,225.7 2,255.4 2,253.7 2,278.5 EBIT 451.5 385.2 493.8 570.7 650.0 724.4 684.3 713.5 740.5 759.0 Interest Expense (169.2) (78.3) (98.6) (108.7) (132.4) (140.1) (153.0) (144.2) (149.6) (153.6) Interest and Invest. Income 2.2 1.1 1.4 0.7 0.3 0.3 1.4 1.1 1.0 0.9 Net Interest Exp. (167.0) (77.2) (97.2) (108.0) (132.1) (139.8) (151.7) (143.1) (148.5) (152.7) Other Non-Operating Inc. (Exp.) (4.7) 5.4 1.5 (0.5) 3.6 2.7 1.8 3.2 2.3 2.4 EBT Excl. Unusual Items 279.8 313.4 398.1 462.2 521.5 587.3 534.4 573.6 594.3 608.7 Impairment of Goodwill (1,610.0) - - - - - - - - - Gain (Loss) On Sale Of Assets 4.8 24.3 2.8 3.5 0.3 0.3 - - - - Asset Writedown (127.4) (1.5) - (2.2) (5.0) (0.5) - - - - Other Unusual Items 51.3 13.0 (19.6) (2.2) - (18.0) - - - - EBT Incl. Unusual Items (1,401.5) 349.2 381.3 461.3 516.8 569.1 534.4 573.6 594.3 608.7 Income Tax Expense (189.2) 116.1 146.0 177.1 199.5 220.1 224.2 228.9 233.8 238.6 Earnings from Cont. Ops. (1,212.3) 233.1 235.3 284.2 317.3 349.0 310.2 344.7 360.5 370.0 Earnings of Discontinued Ops. (30.8) (35.1) (8.7) (2.8) (0.9) (0.3) (19.2) (16.0) (9.0) (8.6) Net Income to Company (1,243.1) 198.0 226.6 281.4 316.4 348.7 291.0 328.8 351.5 361.4 EPS (7.0) 1.1 1.4 1.9 2.6 2.9 2.4 2.7 2.9 3.0
  • 13. 12 Appendix 3: Statement of Cash Flows Source: Team estimates STATEMENT OF CASH FLOWS 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E Net Income (1,243.1) 198.0 226.6 281.4 316.4 348.7 291.0 328.8 351.5 361.4 Depreciation & Amort. 84.0 76.7 76.8 83.7 87.3 92.5 107.0 108.5 107.5 108.9 Depreciation & Amort., Total 84.0 76.7 76.8 83.7 87.3 92.5 107.0 108.5 107.5 108.9 Other Amortization 5.3 3.2 7.0 4.7 5.6 5.2 5.2 5.2 5.2 5.2 (Gain) Loss From Sale Of Assets (4.8) (24.3) (2.8) (3.5) (0.3) - - - - - Asset Writedown & Restructuring Costs 1,743.0 4.9 3.7 2.2 5.0 - - - - - Stock-Based Compensation 21.0 13.5 15.9 18.4 18.6 17.5 17.5 17.5 17.5 17.5 Tax Benefit from Stock Options - - (7.7) (22.8) (10.6) (8.2) (8.2) (8.2) (8.2) (8.2) Net Cash From Discontinued Ops. 31.3 28.7 5.3 0.5 (1.0) 13.0 13.0 13.0 13.0 13.0 Other Operating Activities (283.9) 78.5 23.8 34.2 23.7 (24.7) (24.7) (24.7) (24.7) (24.7) Change in Acc. Receivable 299.0 (42.0) (55.9) (127.4) (112.0) (57.4) (30.8) (34.8) (37.2) (38.3) Change In Inventories 339.2 345.3 (448.6) 70.1 (474.7) (88.6) (218.4) (246.8) (263.8) (271.3) Change in Acc. Payable (63.1) 17.8 11.8 38.4 35.1 3.7 21.0 23.8 25.4 26.1 Change in Other Net Operating Assets (243.7) (331.0) 395.9 (3.5) 423.5 (107.3) (62.2) (70.3) (75.2) (77.3) Cash from Ops. 684.2 369.3 251.8 376.4 316.6 194.3 110.3 112.0 111.0 112.4 Capital Expenditure (110.2) (75.4) (161.8) (162.9) (177.4) (145.0) (153.8) (163.2) (173.2) (183.8) Sale of Property, Plant, and Equipment 3.3 14.3 17.8 3.0 15.9 10.9 10.9 10.9 10.9 10.9 Cash Acquisitions (32.2) (0.2) (73.1) (64.2) (141.6) (62.3) (62.3) (62.3) (62.3) (62.3) Divestitures - - 13.0 4.9 6.8 4.9 4.9 4.9 4.9 4.9 Invest. in Marketable & Equity Securt. - - - - - - - - - - Net (Inc.) Dec. in Loans Originated/Sold - - - - - - - - - - Other Investing Activities 64.0 75.3 3.9 13.0 (1.5) 30.9 30.9 30.9 30.9 30.9 Cash from Investing (75.1) 14.0 (200.2) (206.2) (297.8) (160.6) (169.4) (178.8) (188.7) (199.3) Total Debt Issued 538.9 - 816.0 1,480.1 1,767.5 1,112.6 1,242.9 1,388.4 1,551.0 1,732.6 Total Debt Repaid (993.8) (182.8) (463.2) (1,166.8) (1,262.8) (890.1) (994.3) (1,110.7) (1,240.8) (1,386.1) Issuance of Common Stock 1.0 24.8 49.9 78.0 30.6 36.9 36.9 36.9 36.9 36.9 Repurchase of Common Stock (58.8) (136.1) (524.4) (579.8) (575.6) (204.7) (205.4) (225.0) (245.6) (272.3) Total Dividends Paid - - - - - - - - - - Other Financing Activities (19.5) (25.8) (8.3) 9.8 4.6 (7.8) (7.8) (7.8) (7.8) (7.8) Cash from Financing (532.2) (319.9) (130.0) (178.7) (35.7) 46.9 72.3 81.8 93.7 103.3 Net Change in Cash 76.9 63.4 (78.4) (8.5) (16.9) 80.7 13.2 14.9 16.0 16.4
  • 14. 13 Appendix 4: Key Financial Ratios Source: Team estimates KEY FINANCIAL RATIOS 2008 2009 2010 2011 2012 2013E 2014E 2015E 2016E 2017E Profitability Ratios Return on Assets % 3.9% 4.2% 5.4% 5.9% 6.1% 4.2% 3.2% 3.3% 3.3% 3.1% Return on Capital % 4.5% 4.8% 6.1% 6.6% 6.9% 6.0% 5.1% 4.9% 4.7% 4.4% Return on Equity % (42.7%) 10.4% 10.7% 14.3% 17.7% 12.4% 9.5% 9.9% 9.7% 9.2% Asset Turnover Total Asset Turnover 1.8x 1.9x 2.2x 2.3x 2.3x 2.1x 1.9x 1.8x 1.7x 1.6x Fixed Asset Turnover 7.1x 6.1x 7.0x 7.3x 7.7x 6.7x 6.3x 5.9x 5.5x 5.2x Accounts Receivable Turnover 57.4x 54.3x 60.3x 60.0x 62.1x 58.9x 55.1x 51.6x 48.4x 45.5x Inventory Turnover 5.5x 5.6x 6.3x 6.3x 6.3x 6.9x 6.5x 6.0x 5.7x 5.3x Short Term Liquidity Current Ratio 1.1x 1.2x 1.1x 1.1x 1.0x 1.1x 1.1x 1.1x 1.1x 1.1x Quick Ratio 0.2x 0.3x 0.2x 0.3x 0.2x 0.2x 0.2x 0.2x 0.2x 0.2x Cash from Ops. to Curr. Liab. 0.3x 0.2x 0.1x 0.2x 0.1x 0.1x 0.0x 0.0x 0.0x 0.0x Avg. Days Sales Out. 6.4 6.7 6.1 6.1 5.9 7.4 7.9 8.4 9.0 9.5 Avg. Days Inventory Out. 66.7 65.7 57.6 58.2 58.4 62.7 67.7 72.4 77.0 81.7 Avg. Days Payable Out. 6.0 6.2 5.3 5.8 5.8 6.0 6.5 7.0 7.4 7.9 Avg. Cash Conversion Cycle 67.1 66.2 58.3 58.5 58.5 64.0 69.1 73.8 78.5 83.3 Long Term Solvency Total Debt/Equity 139.8% 108.0% 154.7% 187.2% 274.6% 197.7% 197.7% 197.7% 197.7% 197.7% Total Debt/Capital 58.3% 51.9% 60.7% 65.2% 73.3% 66.4% 66.4% 66.4% 66.4% 66.4% LT Debt/Equity 55.8% 48.0% 64.5% 86.3% 122.4% 70.4% 70.4% 70.4% 70.4% 70.4% LT Debt/Capital 23.3% 23.1% 25.3% 30.0% 32.7% 23.7% 23.7% 23.7% 23.7% 23.7% Total Liabilities/Total Assets 63.5% 57.4% 65.2% 69.4% 76.6% 66.4% 66.4% 66.4% 66.4% 66.4% Margin Analysis Gross Margin % 16.8% 17.9% 17.1% 16.7% 15.9% 15.7% 16.7% 16.6% 16.4% 16.3% SG&A Margin % 12.7% 13.6% 12.5% 11.9% 11.2% 10.9% 12.1% 12.0% 11.8% 11.7% EBITDA Margin % 4.0% 4.3% 4.6% 4.7% 4.7% 4.8% 4.5% 4.6% 4.7% 4.7% EBIT Margin % 3.4% 3.6% 4.0% 4.1% 4.1% 4.2% 3.9% 4.0% 4.1% 4.1%
  • 15. 14 Appendix 5: Vehicle Demand Projections Sales Volume Forecast 2013F 2014F 2015F 2016F 2017F Units Added 2,388,311 2,412,194 2,436,316 2,460,679 2,485,286 New Vehicle Sales Market Share 29.47% 703,835 710,874 717,982 725,162 732,414 Forecasted Units Sold 703,835 710,874 717,982 725,162 732,414 Total Forecasted Units Sold 3,590,267 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 Light duty vehicle, short wheel base196,382,795 198,346,623 200,330,089 202,333,390 204,356,724 206,400,291 208,464,294 210,548,937 212,654,427 214,780,971 216,928,781 219,098,068 221,289,049 Growth % 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% Light duty vehicle, long wheel base 42,325,805 42,749,063 43,176,554 43,608,319 44,044,403 44,484,847 44,929,695 45,378,992 45,832,782 46,291,110 46,754,021 47,221,561 47,693,777 Growth % 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% Trucks 2,510,821 2,535,929 2,561,288 2,586,901 2,612,770 2,638,898 2,665,287 2,691,940 2,718,859 2,746,048 2,773,508 2,801,243 2,829,256 Growth % 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% 1.00% Total (registered vehicles) 241,219,421 243,631,615 246,067,931 248,528,611 251,013,897 253,524,036 256,059,276 258,619,869 261,206,068 263,818,128 266,456,310 269,120,873 271,812,081 Growth % 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0% 1.0%
  • 16. 15 Appendix 6: GDP Consensus Forecasts Distribution Charts Consensus Forecast 2014Y 2015Y 2016Y MEDIAN 2.6 3 3 MEAN 2.61 3.02 2.23 HIGH 4.2 4.5 3.2 LOW 1 1.4 0.5 Source: Bloomberg
  • 17. 16 Appendix 7: Beta Calculations Source: Bloomberg Covariance AN and S&P500 0.000244443 Variance S&P500 0.000228393 AN Beta 1.0702 Date AN Returns S&P500 Returns Date AN Returns S&P500 Returns Date AN Returns S&P500 Returns 1/9/2012 2.0% 0.9% 9/10/2012 0.8% 2.0% 5/13/2013 0.3% 2.2% 1/17/2012 3.3% 2.4% 9/17/2012 1.8% -0.4% 5/20/2013 0.6% -1.0% 1/23/2012 3.7% -0.1% 9/24/2012 1.7% -1.3% 5/28/2013 0.1% -1.1% 1/30/2012 1.4% 2.1% 10/1/2012 6.5% 1.5% 6/3/2013 1.1% 0.8% 2/6/2012 -2.5% -0.1% 10/8/2012 0.3% -2.2% 6/10/2013 -5.9% -1.0% 2/13/2012 -3.1% 1.5% 10/15/2012 3.8% 0.3% 6/17/2013 -2.5% -2.0% 2/21/2012 -2.8% 0.4% 10/22/2012 -7.9% -1.4% 6/24/2013 1.0% 0.9% 2/27/2012 0.9% 0.3% 10/31/2012 -2.4% 0.1% 7/1/2013 6.3% 1.6% 3/5/2012 -0.5% 0.2% 11/5/2012 -6.2% -2.4% 7/8/2013 -0.3% 2.8% 3/12/2012 1.8% 2.4% 11/12/2012 0.5% -1.3% 7/15/2013 -2.7% 1.0% 3/19/2012 1.7% -0.5% 11/19/2012 2.4% 3.7% 7/22/2013 2.3% 0.0% 3/26/2012 -2.9% 0.8% 11/26/2012 -7.5% 0.6% 7/29/2013 7.7% 1.1% 4/2/2012 -0.3% -0.7% 12/3/2012 2.1% 0.2% 8/5/2013 -1.7% -1.0% 4/9/2012 -3.6% -1.9% 12/10/2012 -3.3% -0.2% 8/12/2013 -5.8% -2.1% 4/16/2012 2.3% 0.6% 12/17/2012 1.2% 1.2% 8/19/2013 1.7% 0.5% 4/23/2012 2.3% 1.8% 12/24/2012 0.1% -1.9% 8/26/2013 0.7% -1.8% 4/30/2012 1.2% -2.4% 12/31/2012 8.5% 4.5% 9/3/2013 5.4% 1.5% 5/7/2012 0.2% -1.0% 1/7/2013 1.9% 0.5% 9/9/2013 7.7% 2.0% 5/14/2012 -1.8% -4.3% 1/14/2013 2.6% 0.9% 9/16/2013 0.5% 1.3% 5/21/2012 5.5% 1.8% 1/22/2013 0.0% 1.3% 9/23/2013 -1.1% -1.1% 5/29/2012 -3.5% -3.0% 1/28/2013 7.8% 0.7% 9/30/2013 -3.3% 0.0% 6/4/2012 6.3% 3.8% 2/4/2013 2.1% 0.4% 10/7/2013 -1.9% 0.8% 6/11/2012 -0.9% 1.3% 2/11/2013 -5.3% 0.2% 10/14/2013 0.4% 2.4% 6/18/2012 -2.8% -0.5% 2/19/2013 -3.2% -0.1% 10/21/2013 -2.0% 0.9% 6/25/2012 -1.6% 2.0% 2/25/2013 -2.4% 0.1% 10/28/2013 -1.6% 0.1% 7/2/2012 10.3% -0.4% 3/4/2013 2.9% 2.2% 11/4/2013 -2.7% 0.6% 7/9/2012 2.4% 0.2% 3/11/2013 -1.2% 0.7% 11/11/2013 5.9% 1.6% 7/16/2012 -0.4% 0.5% 3/18/2013 -1.3% -0.1% 11/18/2013 -1.6% 0.4% 7/23/2012 1.1% 1.6% 3/25/2013 0.4% 0.7% 11/25/2013 0.0% 0.1% 7/30/2012 -3.2% 0.5% 4/1/2013 -5.4% -1.0% 12/2/2013 3.1% 0.0% 8/6/2012 1.9% 1.1% 4/8/2013 6.7% 2.3% 12/9/2013 -1.1% -1.6% 8/13/2012 0.7% 1.0% 4/15/2013 -0.8% -2.1% 12/16/2013 -0.3% 2.5% 8/20/2012 1.6% -0.5% 4/22/2013 1.8% 1.8% 12/23/2013 0.4% 1.3% 8/27/2012 -0.8% -0.2% 4/29/2013 2.3% 2.0% 12/30/2013 -0.6% -0.5% 9/4/2012 4.0% 2.2%
  • 18. 17 Appendix 8: DCF Calculations Source: Team estimates 2013F 2014F 2015F 2016F 2017F Residual Risk Free Rate (10-yr Tbonds) 2.95% 2.95% 2.95% 2.95% 2.95% 2.95% Market Risk (S&P 500) 10.60% 10.60% 10.60% 10.60% 10.60% 10.60% Beta 1.0702 1.0702 1.0702 1.0702 1.0702 1.0702 Cost of Equity (CAPM) 11.14% 11.14% 11.14% 11.14% 11.14% 11.14% Discounted Cash Flow 2013F 2014F 2015F 2016F 2017F Residual Net Income 348.7 291.0 328.8 351.5 361.4 361.4 D&A 92.5 107.0 108.5 107.5 108.9 108.9 Capital Expenditure 145.0 153.8 163.2 173.2 183.8 183.8 Change in NWC 198.95 31.49 35.58 38.04 39.11 39.11 Proceeds from New Debt Issuance 1,112.60 1,242.89 1,388.43 1,551.01 1,732.64 1,732.64 Repayout of Debt 890.08 994.31 1,110.74 1,240.81 1,386.11 1,386.11 FCFE 319.77 461.26 516.20 557.98 594.01 594.01 PV of FCFE 319.77 415.03 417.90 406.44 389.31 Terminal Growth Rate 2.00% Perpetuity Cost of Equity 11.14% Residual Value 6,498.08 PV of Residual Value 4,258.76 PV of FCFE 1,948.43 Value of Equity 6,207.19 Number of Shares Outstanding (in mm) 121.81 Current Share Price as of Jan. 6, 2013 48.91 Implied per Share Value 50.96
  • 19. 18 Appendix 9: Monte Carlo Simulation Source: Team Estimates Known Inputs Discount Rate 11.14% Historical Debt Issuance to Repayout Ratio 1.25 Number of Shares Outstanding 121.81 CAPEX for 2013 145.00 Proceeds from New Debt Issuance 1,112.60 Uncertain Inputs Distribution Parameter 1 Paramenter 2 Parameter 3 Terminal Growth Rate 2% Triangular 1% 2% 3% Distribution Mean Std. Deviation Capital Expenditure Growth 6.10% Normal 6.10% 5.00% Proceeds from New Debt Issuance Growth 11.71% Normal 11.71% 5.00% Parameters of Distributions Minimum 33.10 Maximum 76.31 Mean 51.19 10th percentile 42.58 90th percentile 58.19 Monte Carlo Simulation Summary Statistics
  • 20. 19 Appendix 10: Industry Peer Multiple Analysis EV/Total Revenue 2008 2009 2010 2011 2012 2013 2014E 2015E AN 0.31x 0.47x 0.59x 0.60x 0.58x 0.66x 1.23x 1.15x DLPH 0.00x 0.00x 0.00x 0.53x 0.83x 1.28x 1.23x 1.15x KMX 0.00x 0.29x 0.64x 1.36x 1.10x 1.43x 1.34x 1.20x TRW 0.20x 0.46x 0.54x 0.30x 0.44x 0.56x 0.55x 0.55x LEA 0.00x 0.49x 0.39x 0.23x 0.28x 0.40x 0.42x 0.39x SAH 0.24x 0.33x 0.31x 0.28x 0.32x 0.37x 0.36x 0.34x PAG 0.27x 0.37x 0.37x 0.35x 0.42x 0.51x 0.51x 0.48x LAD 0.27x 0.37x 0.37x 0.35x 0.42x 0.51x 0.51x 0.48x ABG 0.26x 0.31x 0.37x 0.35x 0.41x 0.54x 0.52x 0.49x GPI 0.27x 0.34x 0.38x 0.37x 0.40x 0.44x 0.39x 0.36x Median 0.25x 0.35x 0.38x 0.35x 0.42x 0.52x 0.52x 0.48x AN EV/Total Revenue 0.31x 0.47x 0.59x 0.60x 0.58x 0.66x 1.23x 1.15x Historical Premium 26% 33% 56% 71% 39% 26% 138% 139% Average Historical Premium 66% EV/EBITDA 2008 2009 2010 2011 2012 2013 2014E 2015E AN 7.76x 11.18x 13.65x 12.60x 12.45x 13.81x 12.84x 11.74x DLPH 0.00x 0.00x 0.00x 4.23x 5.91x 9.08x 8.53x 7.78x KMX 0.00x 17.08x 10.26x 18.26x 15.26x 19.12x 17.16x 15.97x TRW 2.49x 7.59x 4.53x 2.71x 4.32x 5.59x 5.51x 5.18x LEA 0.00x 14.52x 5.72x 3.17x 4.07x 5.87x 5.92x 5.24x SAH 7.04x 11.19x 10.14x 8.32x 9.97x 10.99x 10.34x 9.65x PAG 9.04x 13.58x 12.85x 11.78x 12.66x 14.47x 15.60x 13.82x LAD 9.51x 9.60x 12.21x 10.32x 10.64x 14.94x 12.47x 10.74x ABG 8.04x 10.09x 10.08x 10.56x 9.82x 11.49x 10.94x 9.81x GPI 8.29x 10.41x 11.59x 10.16x 10.83x 11.73x 11.35x 10.08x Median 7.40x 10.80x 10.20x 10.24x 10.31x 11.61x 11.15x 9.94x AN EV/EBITDA 7.76x 11.18x 13.65x 12.60x 12.45x 13.81x 12.84x 11.74x Historical Premium 5% 4% 34% 23% 21% 19% 15% 18% Average Historical Premium 17% P/E 2008 2009 2010 2011 2012 2013 2014E 2015E AN 14.64x 20.12x 19.66x 16.95x 19.02x 16.95x 14.90x DLPH 0.00x 0.00x 0.00x 0.01x 10.13x 17.63x 13.74x 12.07x KMX 0.00x 47.10x 18.45x 21.93x 17.27x 23.67x 20.57x 18.69x TRW 1.65x 0.00x 8.62x 4.57x 6.82x 9.22x 10.89x 9.78x LEA 0.00x 0.00x 3.36x 7.76x 9.36x 5.44x 13.38x 10.53x SAH 2.73x 0.00x 13.01x 7.45x 15.27x 18.32x 12.15x 10.97x PAG 5.65x 0.00x 15.98x 11.39x 14.70x 18.04x 17.05x 14.75x LAD 5.65x 0.00x 15.98x 11.39x 14.70x 18.04x 17.05x 14.75x ABG 3.55x 0.00x 15.24x 19.98x 12.71x 17.33x 15.29x 13.61x GPI 12.06x 0.00x 25.89x 16.80x 14.10x 17.85x 14.08x 12.53x Median 2.73x 0.00x 15.61x 11.39x 14.40x 17.95x 14.68x 13.07x AN P/E 0.00x 14.64x 20.12x 19.66x 16.95x 19.02x 16.95x 14.90x Historical Premium -100% NM 29% 73% 18% 6% 15% 14% Average Historical Premium 26% Source: Team estimates
  • 21. 20 Appendix 11: Company Comparable Valuation Source: Team estimates P/E LTM 2014E AN EPS 2.87 2.40 AN P/E 19.02x 16.95x Target AN P/E Price 54.61 40.62 Peer Median EPS 3.22 4.01 Peer Median P/E 17.85x 14.08x Target P/E Price from Industry Peers 57.49 56.46 Historical Premium 26% 26% Target AN P/E Price @ Historical Premium from Peers 72.43 71.14 Low Range 40.62 Midpoint 56.52 High Range 72.43 EV/EBITDA LTM 2014E Peers Median EV/EBITDA 11.61x 11.15x EBITDA 816.9 791.3 Cash & ST Investments 68.3 150.4 Debt 4457.2 4928.1 Equity Value (USD) 5097.7 4043.9 Shares Outstanding 121.5 121.5 Target EV/EBITDA Price from Industry Peers 41.97 33.29 Historical Premium 17% 17% Target AN EV/EBITDA Price @ Historical Premium from Peers 49.10 38.95 Low Range 38.95 Midpoint 44.02 High Range 49.10 EV/Total Revenue LTM 2014E Peers Median EV/Total Revenue 0.52151 0.515655 Total Revenue 17,167 17,487 Cash & ST Investments 68.3 150.4 Debt 4457.2 4928.1 Equity Value (USD) 4,563.97 4,239.69 Shares Outstanding 121.5 121.5 Target EV/Total Revenue Price from Industry Peers 37.56 34.89 Historical Premium 66% 66% Target AN EV/TREV Price @ Historical Premium from Peers 62.36 57.92 Low Range 57.92 Midpoint 60.14 High Range 62.36
  • 22. 21 Appendix 12: AutoNation’s M&A Timeline Source: Company Data Timeline of AutoNation's Acquisitions 2007 2008 2009 2010 2011 2012 2013 Don Mackey BMW Collier Lincoln Mercury, LLC Team Hyundai Mall of Georgia Templeton Family, Inc. Boardwalk Auto Group Mize Import Group, Inc King Motor Company Of Fort Lauderdale Team Toyota Mall of Georgia Boardwalk Audi O'Hare Honda & Vehicle Dealerships Pontiac Franchise Boardwalk Porsche and Boardwalk Volkswagen Store in Dallas SanTan Honda Superstore Buick Franchise Spring Chrysler Jeep Dodge Hyundai Of Tempe, LLC GMC Franchise Don Davis Auto Group Saturn Franchise Acquisitions 6 1 0 2 1 4 5 Total Acquisitions 19
  • 23. 22 Appendix 13: Financial Analysis Scoring Methodology Operational Metrics Solvency Metrics Liquidity Metrics Conclusion Source: S&P Capital IQ and Team Estimates Weight Metric Score AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean 3.0% Total Revenue 1 10,666.0 8,401.34 12,461.0 9,861.07 13,832.3 11,346.14 15,668.8 11,946.8 17,167.2 12,631.08 3.0% Total Equity 2 2,303.2 1,568.92 2,078.9 1,784.65 1,894.6 1,566.9 1,688.5 1,782.9 1,993.4 1,918.99 3.0% Return on Capital (%) 4 8.0 6.65 9.28 12.53 10.37 15.47 10.13 14.1 11.05 14.42 3.0% Recurring Earnings/Total Assets (%) 2 7.12 6.5 8.27 8.29 9.21 9.73 9.02 9.38 9.82 9.78 3.0% Net Working Capital/Revenue (x) 1 0.15x 0.11x 0.16x 0.11x 0.15x 0.1x 0.17x 0.12x 0.15x 0.11x 3.0% Asset Turnover (x) 2 1.97x 2.01x 2.09x 1.97x 2.23x 2.13x 2.18x 2.03x 2.33x 2.06x 3.0% Net Working Capital/Total Assets (x) 2 0.3x 0.25x 0.34x 0.23x 0.33x 0.24x 0.37x 0.27x 0.36x 0.26x 3.0% Payables/Receivables (x) 3 0.82x 0.94x 0.77x 0.97x 0.88x 1.21x 0.93x 1.2x 0.98x 1.46x 3.0% Management Rate of Return (%) 4 11.58 8.22 12.84 26.82 14.31 29.5 13.67 23.91 15.01 23.14 3.0% Gross Margin (%) 2 17.91 13.97 17.07 15.46 16.66 15.24 15.87 14.91 15.67 14.96 3.0% EBITDA Margin (%) 4 4.33 4.08 4.58 6.14 4.73 6.35 4.71 6.4 4.76 6.63 33.3% Overall Operational Ranking 2 2009 2010 2011 2012 LTM Weight Metric Score AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean9 4.76% FFO Interest Coverage (x) 2 4.35 0.51 2.5 5.83 3.46 4.38 2.4 0.67 3.34 2.01 4.76% EBITDA/Interest Exp. (x) 4 5.9 3.91 5.79 11.28 6.02 10.11 5.57 9.91 5.83 10.41 4.76% FFO to Total Debt (x) 3 0.14 0.12 0.08 0.53 0.11 0.26 0.07 0.21 0.11 0.21 4.76% Net Debt/EBITDA (x) 4 5.01 5.25 5.47 5.26 5.29 4.31 6.19 4.56 5.37 3.94 4.76% Total Debt to Capital (%) 4 51.66 52.31 60.44 55.22 64.44 58.09 72.28 59.25 67.99 58.89 4.76% Total Debt/Total Liabilities (%) 1 80.13 55.73 82.54 59.62 82.38 61.04 84.07 61.67 82.83 62.46 4.76% Total Debt/Revenue (x) 3 0.23 0.19 0.26 0.22 0.26 0.21 0.3 0.23 0.26 0.24 33.3% Overall Operational Ranking 3 2009 2010 2011 2012 LTM Weight Metric Score AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean AN Peer Mean 8.30% (FFO + Cash) to Short Term Debt (x) 2 0.37 7.25 0.18 57.72 0.24 5.94 0.15 5.69 0.2 6.52 8.30% FFO to Gross Profit (x) 3 0.18 0.15 0.12 0.22 0.16 0.2 0.13 0.12 0.17 0.19 8.30% Current Ratio (x) 4 1.22 1.53 1.1 1.47 1.09 1.43 1.05 1.45 1.02 1.45 8.30% Quick Ratio (x) 4 0.31 0.71 0.23 0.59 0.27 0.6 0.24 0.56 0.2 0.57 33.2% Overall Operational Ranking 3 2009 2010 2011 2012 LTM Company Financial Condition Overall Score Average Operational Above Average Solvency Average Liquidity Average Financial Category Score
  • 24. CFA Institute Research Challenge hosted by CFA societies Florida Team/University Name
  • 25. Disclosures: Ownership and material conflicts of interest: The author(s), or a member of their household, of this report does not hold a financial interest in the securities of this company. The author(s), or a member of their household, of this report does not know of the existence of any conflicts of interest that might bias the content or publication of this report. Receipt of compensation: Compensation of the author(s) of this report is not based on investment banking revenue. Position as a officer or director: The author(s), or a member of their household, does not serve as an officer, director or advisory board member of the subject company. Market making: The author(s) does not act as a market maker in the subject company’s securities. Disclaimer: The information set forth herein has been obtained or derived from sources generally available to the public and believed by the author(s) to be reliable, but the author(s) does not make any representation or warranty, express or implied, as to its accuracy or completeness. The information is not intended to be used as the basis of any investment decisions by any person or entity. This information does not constitute investment advice, nor is it an offer or a solicitation of an offer to buy or sell any security. This report should not be considered to be a recommendation by any individual affiliated with CFA societies Florida, CFA Institute or the CFA Institute Research Challenge with regard to this company’s stock. CFA Institute Research Challenge