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CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
Laying the foundations for
a financially sound industry
Steel Committee meeting
Paris, December 5th, 2013
CONFIDENTIAL AND PROPRIETARY
Any use of this material without specific permission of McKinsey & Company is strictly prohibited
McKinsey & Company | 1
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
Disclaimer
While McKinsey & Company developed the outlooks and scenarios in
accordance with its professional standards, McKinsey&Company does
not warrant any results obtained or conclusions drawn from their use.
The analyses and conclusions contained in this document are based on
various assumptions that McKinsey&Company has developed regarding
economic growth, and steel demand, production and capacities which
may or may not be correct, being based upon factors and events
subject to uncertainty. Future results or values could be materially
different from any forecast or estimates contained in the analyses
The analyses are partly based on information that has not been
generated by McKinsey&Company and has not, therefore, been entirely
subject to our independent verification. McKinsey believes such
information to be reliable and adequately comprehensive but does not
represent that such information is in all respects accurate or complete
McKinsey & Company | 2
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
▪ The global steel industry is not
financially sustainable
▪ The outlook remains challenging
▪ Long term financial health might be
elusive without significant restructuring
Contents
McKinsey & Company | 3
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
12
11
10
09
08
07
06
05
04
03
1.1
2002
-16.0
9.8
-16.2
27.1
38.1
32.4
30.3
34.7
14.4
3.3
A large portion of the steel industry has operated with negative
cash flows even in benign conditions
Cash flow1 for sample of 72 steel players, USD billion
33%
3.0
% players with negative
cash flow
Average net debt to
EBITDA ratio
1 Total operating cash flow minus capital expenditures minus interest expenses
1.9 0.8 0.7 0.9 1.0 1.5 3.1 4.2
2.4 3.0
18% 13% 22% 22% 17% 34% 62% 36% 41% 56%
SOURCE: S&P Capital IQ
McKinsey & Company | 4
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
The leverage level of the steel industry is increasing
0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
Net debt / EBITDA
Times
2012
2011
10
09
08
07
06
05
04
03
2002
Pre-2003:
Price-margin
squeeze
2003-2008: Margin improvement
and upstream integration
2008-12: Margin deterioration
and excessive leverage
%, 2002-2012
Net debt/EBITDA
Series
SOURCE: S&P Capital IQ
Net debt / EBITDA margin for selected 72 companies
McKinsey & Company | 5
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
EBITDA margins have deteriorated
SOURCE: Bloomberg
1 Considering sample of 65 companies
2 Consensus forecast
10
8
10
11
8
16
17
18
18
19
13
0
5
10
15
20
17
13E2
12
11
10
09
08
07
06
05
04
03
14
2002
Steel industry reached financial
sustainability only on the back of an
immense credit bubble in the global
economy
Minimum required global average
EBITDA margin for long-term
sustainability
PRELIMINARY
Average EBITDA margin
(2010-13): 10%
Percent
Average EBITDA margin in the steel industry1
McKinsey & Company | 6
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
EBITDA must cover all stakeholder obligations
SOURCE: McKinsey
Net earnings
(after stakeholders
costs)
EBITDA must
cover all
stakeholder
costs
Measurement used
Tax to government
Interest payment
to debt holder
Investment /
reinvestment into
the business
Return to
shareholders
 CAPEX (during period of low
investment, i.e. mostly main-
tenance CAPEX occurring)
 Average cost of debt
 Effective tax rate
 Average cost of equity
Unfunded
liabilities (e.g.,
pension funds, …)
 Unfunded liabilities, gap to be
closed in medium term
PRELIMINARY
McKinsey & Company | 7
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
Meeting current stakeholder obligations requires a 17% global average
EBITDA margin
SOURCE: McKinsey analysis; Bloomberg; MEPS
1 Considering sample of 83 companies
2 Assumes a price of 634 USD/ton in 2012 for hot rolled
52
2012
EBITDA
106
Equity cost
29
Tax cost
11
Unfunded
liabilities
5
Debt cost
18
Capex cost
43
Sustainable
EBITDA
Assumptions1
Percent of
turnover2
▪ Capex ~7%
of revenues
▪ 7% cost of
debt
▪ ~250 USD/ton
of debt
▪ 25% effective
tax rate
▪ 9% cost of
equity
▪ ~325 USD/ton
of equity
8% 17% 7% 3% 2% 4.5%
Required EBITDA for long term sustainability (global average)1
USD / ton, Hot rolled 2012
54 USD / ton
GLOBAL AVERAGE
The global steel
industry must
generate
additional USD
76 Bn at current
production level
to become
sustainable
0.5%
▪ Average
unfunded
liabilities (gap
to be closed in
medium term)
McKinsey & Company | 8
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
For any greenfield capacity expansion, the sustainable EBITDA margin is
even higher
15-30
Debt cost
35-50
Capex cost
40-50
Sustainable
EBITDA for
new capacity
140-200
Equity cost
50-70
Tax cost1
 Lower-end of the range applies for
low-cost countries (e.g. China)
 Higher-end of the range
characterizes mature steel regions
SOURCE: McKinsey analysis
USD / ton, HRC 2012
Typical
EBITDA
~50-70
xx EBITDA margin
Required EBITDA for new greenfield capacity
~70-150
USD/ton
25-30%
McKinsey & Company | 9
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
Contents
▪ The global steel industry is not
financially sustainable
▪ The outlook remains challenging
▪ Long term financial health might be
elusive without significant restructuring
McKinsey & Company | 10
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
EBITDA margin range expected to be lower than in the past
SOURCE: McKinsey Analysis
3
7
14
17
Recent "slope"
erosion
Mid-term
Cycle bottom
Mid-term
"peak"
2007 "peak" Cycle range
7
POSSIBLE MARGIN RANGE “New Normal” (2013-2018)
EBITDA %
1 Overcapacity defined as (crude steel capacity) - (crude steel equivalent of finished steel apparent steel demand)
ROUNDED NUMBERS
McKinsey & Company | 11
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
▪ The global steel industry is not
financially sustainable
▪ The outlook remains challenging
▪ Long term financial health might be
elusive without significant restructuring
Contents
McKinsey & Company | 12
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
The size of the EBITDA pool in any industry is driven by 3 factors
EBITDA
pool
Slope of the
cost curve
Capacity
utilization
Margin over
marginal
cost
EBITDA =
%
(1+1/Slope) x (1+CU)
CU –
4 x PPr
Price
PPr =
C90
C90
Slope =
C10
Demand
CU =
Capacity
80
60
40
20
140
120
100
C
90
90%
10%
0
C
10
-20
Price (market)
Cash Cost
Curve
Demand
CU
Percent
80%
Price (floor)
C1 Cash Cost
EBITDA pool simulation logic EBITDA pool simulation
▪ Supply-demand
evolution
▪ Incidents/Revamps
▪ Ramp-up curves
▪ Input cost factors
(e.g., raw
materials)
▪ Macroeconomic
factors affecting
the cost curve
(e.g., exchange
rate)
▪ Lead time for
capacity additions
▪ Perception of
shortage
▪ Role of traders
▪ …
Drivers
McKinsey & Company | 13
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2
Profitability – EBITDA margin
Percent
60
50
40
30
Slope of the cost curve (2008)
Ratio C90/C10
Steel (2002)
Steel (2011)
Iron ore (2002)
Gold
Uranium
Zinc
Seaborne
thermal coal
Copper
Iron ore
(2011)
Mining Average
Alumina
Aluminium
10
20
0
SOURCE: Raw Materials Group database; McKinsey analysis
The average commodity attractiveness is “structurally”
underpinned by the slope of its cost curve
1 Rich ore equivalent
EBITDA pool
2011
McKinsey & Company | 14
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
SOURCE: McKinsey (originally presented during OECD steel committee meeting, July 2013)
EBITDA
pool
1
Capacity
utilization
(CU)
Possible measures (not exhaustive)
▪ Unilateral closures
▪ Legally sanctioned cooperation
agreements
– JVs/alliances
– Specialization, off-take agreements
▪ ….
Slope of the
cost curve
2 ▪ “Fair trade” measures
▪ Swing capacity
3
Return over
marginal
cost
▪ Differentiation
(product and service)
▪ Sustainable cost reporting (all-in
sustainable cost – AISC)
Focus of this presentation
McKinsey & Company | 15
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
Bridging the ~50 USD/ton margin gap to reach a sustainable
EBITDA margin would require closing ~300m tons of global capacity
SOURCE: McKinsey analysis
EBITDA pool
EBITDA =
%
(1+1/Slope) x (1+CU)
CU –
4 x RMC
Return over
marginal cost
Price
RMC =
C90
Slope of the
cost curve
C90
Slope =
C10
Capacity
utilization
Demand
CU =
Capacity
EBITDA pool simulation logic
EBITDA margin formula
0
2
4
6
8
10
12
14
16
18
76 78 80 82 84 86 88 90 92 94
0
50
100
150
200
250
300
350
Capacity closure need
Million ton
EBITDA Margin
Percent
Capacity closure need (right axis)
EBITDA margin (left axis)
Capacity utilization
%
2012
situation
~300m tons of
capacity closure
at current
demand level
Sustainable
target
1
2
3
McKinsey & Company | 16
CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION
Require
upfront anti-
trust review
Likely the
basis of
ongoing
dialogue with
OECD and
regional
authorities
What is shared
Description
Unilateral closures
Com. Log.
Sourc. Prod.
▪ Players unilaterally and independently
reduce excess capacity according to
their own timetable
Asset
specialization with
off-take agreement
▪ Two or more payers agree to specialize
in certain products and either exit
noncore areas or swap assets
Alliances or “code
sharing”
▪ Players agree to partner in certain areas
and reduce/ eliminate production where
one partner is stronger and relies on the
other for future production needs
Combined
upstream steel
utility
▪ Upstream capacity is pooled into a
subset of entities with joint ownership
Unilateral closures
and off-take
agreement
▪ Some players close all or majority of
production and negotiate agreement to
source needed steel from remaining
players, potentially at preferential rates
Unilateral closures
and leasing
▪ Closures same as above. In addition,
players negotiate a lease of capacity,
potentially at preferential rates
1
2
3
4
5
6
Beyond unilateral closures , several restructuring options have
been mentioned
SOURCE: McKinsey analysis
1
2
3

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Laying the foundations for a financially sound industry - OECD.pdf

  • 1. CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION Laying the foundations for a financially sound industry Steel Committee meeting Paris, December 5th, 2013 CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited
  • 2. McKinsey & Company | 1 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION Disclaimer While McKinsey & Company developed the outlooks and scenarios in accordance with its professional standards, McKinsey&Company does not warrant any results obtained or conclusions drawn from their use. The analyses and conclusions contained in this document are based on various assumptions that McKinsey&Company has developed regarding economic growth, and steel demand, production and capacities which may or may not be correct, being based upon factors and events subject to uncertainty. Future results or values could be materially different from any forecast or estimates contained in the analyses The analyses are partly based on information that has not been generated by McKinsey&Company and has not, therefore, been entirely subject to our independent verification. McKinsey believes such information to be reliable and adequately comprehensive but does not represent that such information is in all respects accurate or complete
  • 3. McKinsey & Company | 2 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION ▪ The global steel industry is not financially sustainable ▪ The outlook remains challenging ▪ Long term financial health might be elusive without significant restructuring Contents
  • 4. McKinsey & Company | 3 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION 12 11 10 09 08 07 06 05 04 03 1.1 2002 -16.0 9.8 -16.2 27.1 38.1 32.4 30.3 34.7 14.4 3.3 A large portion of the steel industry has operated with negative cash flows even in benign conditions Cash flow1 for sample of 72 steel players, USD billion 33% 3.0 % players with negative cash flow Average net debt to EBITDA ratio 1 Total operating cash flow minus capital expenditures minus interest expenses 1.9 0.8 0.7 0.9 1.0 1.5 3.1 4.2 2.4 3.0 18% 13% 22% 22% 17% 34% 62% 36% 41% 56% SOURCE: S&P Capital IQ
  • 5. McKinsey & Company | 4 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION The leverage level of the steel industry is increasing 0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 Net debt / EBITDA Times 2012 2011 10 09 08 07 06 05 04 03 2002 Pre-2003: Price-margin squeeze 2003-2008: Margin improvement and upstream integration 2008-12: Margin deterioration and excessive leverage %, 2002-2012 Net debt/EBITDA Series SOURCE: S&P Capital IQ Net debt / EBITDA margin for selected 72 companies
  • 6. McKinsey & Company | 5 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION EBITDA margins have deteriorated SOURCE: Bloomberg 1 Considering sample of 65 companies 2 Consensus forecast 10 8 10 11 8 16 17 18 18 19 13 0 5 10 15 20 17 13E2 12 11 10 09 08 07 06 05 04 03 14 2002 Steel industry reached financial sustainability only on the back of an immense credit bubble in the global economy Minimum required global average EBITDA margin for long-term sustainability PRELIMINARY Average EBITDA margin (2010-13): 10% Percent Average EBITDA margin in the steel industry1
  • 7. McKinsey & Company | 6 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION EBITDA must cover all stakeholder obligations SOURCE: McKinsey Net earnings (after stakeholders costs) EBITDA must cover all stakeholder costs Measurement used Tax to government Interest payment to debt holder Investment / reinvestment into the business Return to shareholders  CAPEX (during period of low investment, i.e. mostly main- tenance CAPEX occurring)  Average cost of debt  Effective tax rate  Average cost of equity Unfunded liabilities (e.g., pension funds, …)  Unfunded liabilities, gap to be closed in medium term PRELIMINARY
  • 8. McKinsey & Company | 7 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION Meeting current stakeholder obligations requires a 17% global average EBITDA margin SOURCE: McKinsey analysis; Bloomberg; MEPS 1 Considering sample of 83 companies 2 Assumes a price of 634 USD/ton in 2012 for hot rolled 52 2012 EBITDA 106 Equity cost 29 Tax cost 11 Unfunded liabilities 5 Debt cost 18 Capex cost 43 Sustainable EBITDA Assumptions1 Percent of turnover2 ▪ Capex ~7% of revenues ▪ 7% cost of debt ▪ ~250 USD/ton of debt ▪ 25% effective tax rate ▪ 9% cost of equity ▪ ~325 USD/ton of equity 8% 17% 7% 3% 2% 4.5% Required EBITDA for long term sustainability (global average)1 USD / ton, Hot rolled 2012 54 USD / ton GLOBAL AVERAGE The global steel industry must generate additional USD 76 Bn at current production level to become sustainable 0.5% ▪ Average unfunded liabilities (gap to be closed in medium term)
  • 9. McKinsey & Company | 8 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION For any greenfield capacity expansion, the sustainable EBITDA margin is even higher 15-30 Debt cost 35-50 Capex cost 40-50 Sustainable EBITDA for new capacity 140-200 Equity cost 50-70 Tax cost1  Lower-end of the range applies for low-cost countries (e.g. China)  Higher-end of the range characterizes mature steel regions SOURCE: McKinsey analysis USD / ton, HRC 2012 Typical EBITDA ~50-70 xx EBITDA margin Required EBITDA for new greenfield capacity ~70-150 USD/ton 25-30%
  • 10. McKinsey & Company | 9 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION Contents ▪ The global steel industry is not financially sustainable ▪ The outlook remains challenging ▪ Long term financial health might be elusive without significant restructuring
  • 11. McKinsey & Company | 10 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION EBITDA margin range expected to be lower than in the past SOURCE: McKinsey Analysis 3 7 14 17 Recent "slope" erosion Mid-term Cycle bottom Mid-term "peak" 2007 "peak" Cycle range 7 POSSIBLE MARGIN RANGE “New Normal” (2013-2018) EBITDA % 1 Overcapacity defined as (crude steel capacity) - (crude steel equivalent of finished steel apparent steel demand) ROUNDED NUMBERS
  • 12. McKinsey & Company | 11 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION ▪ The global steel industry is not financially sustainable ▪ The outlook remains challenging ▪ Long term financial health might be elusive without significant restructuring Contents
  • 13. McKinsey & Company | 12 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION The size of the EBITDA pool in any industry is driven by 3 factors EBITDA pool Slope of the cost curve Capacity utilization Margin over marginal cost EBITDA = % (1+1/Slope) x (1+CU) CU – 4 x PPr Price PPr = C90 C90 Slope = C10 Demand CU = Capacity 80 60 40 20 140 120 100 C 90 90% 10% 0 C 10 -20 Price (market) Cash Cost Curve Demand CU Percent 80% Price (floor) C1 Cash Cost EBITDA pool simulation logic EBITDA pool simulation ▪ Supply-demand evolution ▪ Incidents/Revamps ▪ Ramp-up curves ▪ Input cost factors (e.g., raw materials) ▪ Macroeconomic factors affecting the cost curve (e.g., exchange rate) ▪ Lead time for capacity additions ▪ Perception of shortage ▪ Role of traders ▪ … Drivers
  • 14. McKinsey & Company | 13 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2 Profitability – EBITDA margin Percent 60 50 40 30 Slope of the cost curve (2008) Ratio C90/C10 Steel (2002) Steel (2011) Iron ore (2002) Gold Uranium Zinc Seaborne thermal coal Copper Iron ore (2011) Mining Average Alumina Aluminium 10 20 0 SOURCE: Raw Materials Group database; McKinsey analysis The average commodity attractiveness is “structurally” underpinned by the slope of its cost curve 1 Rich ore equivalent EBITDA pool 2011
  • 15. McKinsey & Company | 14 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION SOURCE: McKinsey (originally presented during OECD steel committee meeting, July 2013) EBITDA pool 1 Capacity utilization (CU) Possible measures (not exhaustive) ▪ Unilateral closures ▪ Legally sanctioned cooperation agreements – JVs/alliances – Specialization, off-take agreements ▪ …. Slope of the cost curve 2 ▪ “Fair trade” measures ▪ Swing capacity 3 Return over marginal cost ▪ Differentiation (product and service) ▪ Sustainable cost reporting (all-in sustainable cost – AISC) Focus of this presentation
  • 16. McKinsey & Company | 15 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION Bridging the ~50 USD/ton margin gap to reach a sustainable EBITDA margin would require closing ~300m tons of global capacity SOURCE: McKinsey analysis EBITDA pool EBITDA = % (1+1/Slope) x (1+CU) CU – 4 x RMC Return over marginal cost Price RMC = C90 Slope of the cost curve C90 Slope = C10 Capacity utilization Demand CU = Capacity EBITDA pool simulation logic EBITDA margin formula 0 2 4 6 8 10 12 14 16 18 76 78 80 82 84 86 88 90 92 94 0 50 100 150 200 250 300 350 Capacity closure need Million ton EBITDA Margin Percent Capacity closure need (right axis) EBITDA margin (left axis) Capacity utilization % 2012 situation ~300m tons of capacity closure at current demand level Sustainable target 1 2 3
  • 17. McKinsey & Company | 16 CONFIDENTIAL – NOT FOR WIDE DISTRIBUTION Require upfront anti- trust review Likely the basis of ongoing dialogue with OECD and regional authorities What is shared Description Unilateral closures Com. Log. Sourc. Prod. ▪ Players unilaterally and independently reduce excess capacity according to their own timetable Asset specialization with off-take agreement ▪ Two or more payers agree to specialize in certain products and either exit noncore areas or swap assets Alliances or “code sharing” ▪ Players agree to partner in certain areas and reduce/ eliminate production where one partner is stronger and relies on the other for future production needs Combined upstream steel utility ▪ Upstream capacity is pooled into a subset of entities with joint ownership Unilateral closures and off-take agreement ▪ Some players close all or majority of production and negotiate agreement to source needed steel from remaining players, potentially at preferential rates Unilateral closures and leasing ▪ Closures same as above. In addition, players negotiate a lease of capacity, potentially at preferential rates 1 2 3 4 5 6 Beyond unilateral closures , several restructuring options have been mentioned SOURCE: McKinsey analysis 1 2 3