4. Market Profile
0
10
20
30
40
50
60
2006 2007 2008 2009 2010 2011 2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
Domestic Market Growth (mn)
30
40
50
60
70
80
90
2006 2007 2008 2009 2010 2011 2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
International Market Growth (mn)
5. Why BUY
WHY BUY ?
Aggressive
Growth
High Profit Yield
Potential
Compelling
Valuation
Further Growth
Potential
7. Future Market Potential
0
10
20
30
40
50
60
70
80
90
100
2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
International Market Forecast
0
10
20
30
40
50
60
2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
Domestic Market Forecast
Pax (mn)
Aggressive Growth
Market GrowthHigh Sales Revenue Growth
Pax (mn)
8. Aggressive Growth
0
10
20
30
40
50
60
70
2009 2010 2011 2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
PAX ( mn )
70%
75%
80%
85%
0
40
80
120
160
200
2009 2010 2011 2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
ASK RPK Load Factor
Traffic Data ( mn )
Market GrowthHigh Sales Revenue Growth
THY
Aviation Figures
10. 3.9 4.0 3.9 3.8
4.0 3.9
4.1
3.5
2
4
6
2006 2007 2008 2009 2010 2011 9M'11 9M'12
Personnel/ASK
($ Cent)
Effective Personel Cost Management
High Profit Yield Potential
0
4
8
SAS DL UA AF-KL LH AY IAG LAN SQ* TK
Personel/ASK
($ Cent)
Benefical AffiliatesEffective Cost Hub-to-Point & Youngest Fleet Age
11. ‘’Optimum Supply Chain Management’’
High Profit Yield Potential
Benefical AffiliatesEffective Cost Hub-to-Point & Youngest Fleet Age
12. 6.5
12.7
10
13
9.7
0
4
8
12
16
20
TA LH AF BA KLM
High Profit Yield Potential
Hub-to Point Strategy Youngest Fleet Age
Benefical AffiliatesEffective Cost Hub-to-Point & Youngest Fleet Age
13. Benefical Affiliates High Profit Expectations
Income Statement ( Margin ) 2007 2008 2009 2010 2011 2012 F 2013 F 2014 F 2015 F 2016 F 2017 F
EBITDAR 22.3% 20.2% 22.9% 16.6% 14.0% 16.9% 16.4% 16.6% 17.5% 17.0% 16.9%
EBITDA 17.9% 16.8% 17.5% 11.0% 9.8% 13.7% 13.5% 13.9% 15.0% 14.8% 14.9%
EBIT 10.4% 12.1% 10.9% 5.5% 2.9% 7.8% 7.5% 8.1% 9.2% 8.8% 8.9%
Net Income (NI) 5.5% 18.5% 8.0% 3.4% 0.2% 6.7% 6.8% 6.8% 7.7% 7.3% 7.3%
2%
4%
6%
8%
10%
12%
7%
9%
11%
13%
15%
17%
10
11
12E
13E
14E
15E
16E
17E
EBITDA EBIT
0.0
0.2
0.4
0.6
0.8
1.0
1.2
7
8
9
10
11
12E
13E
14E
15E
16E
17E
High Profit Yield Potential
Hub-to-Point & Youngest Fleet Age
15. Further Growth Potential
3rd Airport
150 mn. Passenger Capacity
First phase in 2016
Merger with LH : All is possible
Second biggest airline company
Impressive hub network
Economy of scale
Increasing bargaining power
Further Growth Potential
17. Weighted Calculation DCF Multiples
Target Price of THYAO
TL 8.30
DCF
( Discounted Cash Flow)
Peer Comparison
(P/E, EV/EBITDA, EV/EBITDAR)
Long Term Drivers Short Term Drivers
65% 35%
Compelling Valuation
TL 8.10 TL 8.67
18. DCF Components
TL 8.10
5- Year Projected
Cash Flows
TL 2.42
Terminal Value of
Cash Flows
TL 5.68
Cost of Equity
WACC 6.5 %
Cost of Equity 9.0 %
Terminal Value
g
2.0 %
(1970-2012*)
High Correlation with GDP growth.
Weighted Calculation DCF Multiples
Compelling Valuation
19. Weighted Calculation DCF Multiples
P/E EV/EBITDA
2012 E 2013 E 2012 E 2013 E
Grand Average of Aviation Market 11.8 (x) 10.3 (x) 7.9 (x) 7.6 (x)
Turkish Airlines 8.1 (x) 6.5 (x) 7.7 (x) 6.8 (x)
Discount Rate -31% -37% -7% -25%
Current Price TL 6.68
Target Price TL 9.73 TL 10.53 TL 7.16 TL 8.33
Compelling Valuation
20. Potential Risks
Fuel Price Volatility
Airport Capacity
Currency Exchange Rate
Increasing Competitiveness
Impact
Probability
High
High
Risks Factors
Swap and Option Based Derivatives
New Airport with 150 Million Passenger
Capacity
Natural Hedging
Cost Advantage by using Group Strategy
Shields for Risk Factors
32. Back up
Multiple Peer Valuation
EV/EBITDA P/E EV/EBITDAR
2012 E 2013 E 2012 E 2013 E 2013 Target
Developed Market Carriers
Air Canada 4,5 4,2 7,2 6,1
Air FRANCE-KLM 8 6,4 - -
Air New Zealand 5,6 5,4 19,4 9,3
Lufthansa 4,5 4,1 - 12,6
Qantas Airways 4,1 3,3 - -
Average 5,3 4,7 13,3 9,3
Emerging Market Carriers
Air China 9,7 8,2 14,8 12,1
Cathay Pacific 10,9 8,3 - -
China Airlines 16,4 11 - 15,2
China Eastern Airlines 7,4 6,6 9,7 8,1
China Southern Airlines 7,9 6,2 15,6 9,9
EVA Airways 6,9 4,8 - 10,6
Korean Air 9,5 9,5 - -
Average 9,8 7,8 13,4 11,2
Low Cost Carriers
EasyJet 7,7 9,3 7,5 9,2
Ryanair 9,2 11,1 10,2 12,3
AirAsia 9,1 10,2 8,6 9,3
Average 8,7 10,2 8,8 10,3
Grand Average / Target (EBITDAR) 7,9 7,6 11,8 10,3 6
Turkish Airlines 7,7 6,8 8,1 6,5 5,6
Discount Rate -7% -25% -31% -37% -14%
Current Price 6,68 6,68 6,68 6,68 6,68
Target Price 7,16 8,33 9,73 10,53 7,63
Weighted Target Price 8,68
Source: Team’s Estimates and Company’s Annual Report
33. Back up
2012 F 2013 F 2014 F 2015 F 2016 F 2017 F
Terminal
Value
EBIT 650 821 951 1229 1348 1695
Tax Eff. 0,2 0,2 0,2 0,2 0,2 0,2
NOPAT 520 657 761 983 1078 1356
Depreciation 496 573 661 744 925 1107
CAPEX -1291 -1551 -837 -1082 -1767 -1770
Change in Working
Capital
-224 203 72 192 89 449
Free Cash Flow To Firm -499 -118 657 837 326 1141 16542
Discount Factor 0,94 0,88 0,83 0,78 0,73 0,69
DCF -469 -104 544 651 238 783 11351
Perpetuity Growth Rate 0,02
Market Value of Firm 12995
MV of Debt 7504
Market Value of Equity 5491
No of Shares Outstanding 1200
Target Price ($) 4,58
Currency 1,77
Target Price (TL) 8,10
Discounted Cash Flow (FCFF) Valuation
Source: Team’s Estimates and Company’s Annual Report
34. Back up
Regression Based Forecasts
Sales Forecast
Temporal
Regression
Scenerio
Forecasts
Functional
Regression
20%
16% 16%
15%
19%
20%
10%
20%
12 E 13 E 14 E 15 E 16 E 17 E
Weighted Sales Forecast
Team Estimate The Base
Source: Team’s Estimates and Company’s Annual Report
36. Back up
Scenario Based Forecast
18% 19%
13%
10%
14%
18%
-5%
5%
15%
25%
35%
12 E 13 E 14 E 15 E 16 E 17 E
Scenerio Sales Forecast
Team Estimate The Worst The Base The Best
Lack of hub capacity. First phase of new airport launched.
Source: Team’s Estimates and Company’s Annual Report
37. SWOT ANALYSIS
Strengths Weaknesses
1. Impressive Flight Network 1. Airport Insufficiency
2. Innovative Marketing Strategies 2. High Leasing Expenses
3. Young Fleet 3. Lack of Scale
4. Affiliates and Subsidiaries
5. Government Support
Opportunities Threats
1. Growth of The Economy 1. Volatile Costs
2. International and Domestic Market Expansion 2. Threats of Potential Entrants
3. Increasing Air Transportation Usage 3. Substitution of Products
4. Instruction of New Airports 4. Currency Shifts
5. Government's Effective International Economy Policy 5. Political Risks
Source: Team’s Estimates and Institutions & Research Papers
Back up
42. 87%
8%
4% 1%
Split By Revenue
PAX Cargo Charter Other
60%
14%
13%
8%
5%
International Pax Breakdown
Europe Middle East Far East Africa America
Source: Company’s Data
Revenue and PAX Structure
Back up
44. Annual GDP Growth 2011 to 2031
7.1
6.5
4.6
4.4
4.3
4.1
3.9
3.4
3.2
2.8
2.6
1.9
1.3
0 1 2 3 4 5 6 7 8
South Asia
China
Asia Pacific
Africa
Southeast Asia
Latin America
Middle East
CIS
World
Ocenia
North America
Europe
Norheast Asia
Source: HIS Global Insight
Back up
45. 2009 2010 2011 2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
Pax (m) 25,1 29,1 32,6 39 45,4 51,3 54,7 60,1 67,8
Pax Growth (%) 11% 16% 12% 20% 18% 12% 7% 10% 13%
Load Factor (%) 70,9% 73,7% 72,6% 77,7% 78,6% 78,8% 79,2% 77,6% 77,4%
ASK (bn) 56,6 65,1 81,2 96,1 110,3 127 142,1 166,9 196,6
ASK growth (%) 22% 15% 25% 18% 15% 15% 12% 17% 18%
RPK (bn) 40,1 47,9 58,9 74,6 86,2 102 117,2 141,5 171,2
RPK growth (%) 17% 19% 23% 27% 16% 18% 15% 21% 21%
Source: Team’s Estimates and Company Data
Aviation Factor Estimations
Back up
46. Years Central Bank of Turkey OECD Fitch
2013 E 4,0% 4,2% 3,8%
2014 E 5,0% 5,2% 4,5%
2015 E 5,0% 5,5% 5,0%
2016 E - 5,6% 5,0%
2017 E-2030 E - 4,1% -
GDP Growth Forecasts Between 2013-2017
Back up
47. Back up
Number of Aircrafts Between 2013-2017
Years 2007 2008 2009 2010 2011 2012 E 2013 E 2014 E 2015 E 2016 E 2017 E
Our Expected 100 127 133 158 179 202 220 232 239 256 280
Company's
Expected
100 127 133 158 179 200 214 224 234 240 232