9M16 Re Resul ults ts
Novem ember r 7, 2016
9M16 Re Resul ults ts Novem ember r 7, 2016 Solid d Th Third - - PowerPoint PPT Presentation
9M16 Re Resul ults ts Novem ember r 7, 2016 Solid d Th Third Qu Quarter ter Lower industry capacity, stronger currency, fuel savings Traffic growth of 10% vs. 2Q16, Load factor of 80% Avg fare increase of 15.8% YoY and 6.1% vs 2Q16
Novem ember r 7, 2016
Lower industry capacity, stronger currency, fuel savings Traffic growth of 10% vs. 2Q16, Load factor of 80% Avg fare increase of 15.8% YoY and 6.1% vs 2Q16 Unit costs down by 6.4% Fleet reduction of 4 acft Ancillary revenues of R$302 million Profits of R$66 million Olympic Games: 7,200 athletes and 49 delegations transported
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Brazil’s Best Fare - Lowest Cost Carrier Nº1, Traffic 9M15 – 25 million pax Nº1 at Main Airports - 52 bases in Brazil Nº1, Service - Low Fares/On-time/Smiles Fwd Bookings and Load Factors increasing Order for 120 MAX new aircraft 15 years of GOL low fares in Brazil
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Premium Lounge at at Guarulhos
On-board rd Intern rnet et First t in S South th America On On-Time e Perfor formance
CONNECTIVITY, CONTENT AND FUN ON BOARD
More e Codesh share res
More e Milea eage e Benefits fits
miles accum. to promotional fares
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(1) Source: 2015 Company reports - ANAC. (2) Stage-length adjusted.
5 CASK ex-fuel and CASK in cents of R$
25.7 18.2 24.5 17.4 23.3 15.5 20.0 13.4
% > GOL
+16% +23% +29%
OALA LAB ALAB
Colocar mapa maior sem oceanos 6
State
GDP%¹ #1 #2 Share
São
ulo
32.1% .1% 35% 35% Rio
neiro ro GIG SDU 11.8% .8% 46% 46% Mina nas Gera rais s CNF JDF MOC UDI 9.2% 2% 27% 27% Para raná ná CWB IGU LDB MGF 6.3% 3% 37% 37% Rio
rand nde e do Sul ul POA CXJ 6.2% 2% 37% 37% Sant nta Cata tari rina na FLN JOI NVT XAP 4.0% 0% 36% 36% Bahi hia SSA BPS IOS 3.8% 8% 30% 30% Dis istr trito to Federa eral l BSB 3.3% 3% 32% 32%
(*)
(*) At main airports, in number of seats as of Sep, 2016 ¹ IBGE 2013 Brazilian GDP by state
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Net Revenu enue 2,401.4 .4 2,489.6 6
5%
7,203.3 3 7,126.0 7,126.0
1.1%
EBIT 232.6 232.6 8.9 8.9
2,524%
498.3 498.3 (88.4) 88.4)
n.m.
EBIT Margin 9.7% 7% 0.4%
9.3 pp
6.9% 9%
8.1 pp
Net Income (loss) s) 65.9 65.9 (2,133)
n.m.
1,132 1,132 (3,161)
n.m.
Net Margin 2.7% 7%
88.4 pp
15.7% .7%
60.1 pp
EPS (R$) 0.19 0.19 (6.14)
n.m.
3.26 3.26 (9.10)
n.m.
(R$ million)
3Q16 3Q16 3Q15
% Var.
9M16 16 9M15 % Var.
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(1) Before minority interest
(1)
ASKs (in billion of KM) 11.5 .5 12.3
34.5 .5 37.2
Seats (in million) 10.4 .4 13.0
32.9 .9 39.3
RPKs (in billion of KM) 9.2 9.2 9.7
26.8 .8 29.0
Load Factor 79.8% .8% 78.6%
1.2 pp
77.5% .5% 77.8%
Traffic (in million) 8.1 8.1 9.8
24.5 .5 29.3
258.5 8.5 223.3
15.8%
258.2 8.2 213.7
20.8%
Net YIELD (R$ cents) 22.9 .9 22.5
1.5%
23.7 .7 21.6
9.5%
Net PRASK (R$ cents) 18.3 .3 17.7
3.0%
18.3 .3 16.8
9.0%
Net RASK (R$ cents) 20.9 .9 20.2
3.3%
20.9 .9 19.1
9.0%
CASK (R$ cents) 18.8 .8 20.1
19.4 .4 19.4
0.2%
CASK ex-fuel (R$ cents) 13.0 .0 13.5
13.6 .6 12.8
5.6%
Operating Profit per ASK (R$ cents) 2.0 2.0 0.1
n.m.
1.5 1.5
n.m.
3Q16 Q16 3Q15
% Var.
9M16 9M15
% Var.
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Assets (incl. aircraft) 6,487 7,570 Cash and Accounts Receivable 1,829 3,554 Total al 8,316 11,124 24
In R$ million
Sep/16 Sep/15 Liabilities 5,206 4,823 Debt 6,347 9,489 Shareholder’s Equity (3,237) (3,188) Total 8,316 11,124 24 Financial ial Debt 3Q16
22% 22% 78% 78%
BR BRL US USD
* Exchange rate of 3.2462 for amounts in US$.
Free Cash Smiles Cash Restricted Cash
Values in R$ million
Accounts Receivable
R$3.1 R$3.1 billion debt reductio tion
290 470 Cash
1,829
681 389 477 68 885 228 1.322 75 76 5 After 2023 2023 2022 2021 2020 2019 621 17 603 2018 475 71 405 4Q17 19 14 3Q17 2Q17 247 242 5 1Q17 4Q16 76 70 6 Debt in USD (R$) Debt in Reais (R$)
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2015 2016
Jan 83% 82%
Feb 76% 76% Mar 74% 73%
Apr 79% 76%
May 76% 75%
Jun 76% 75%
Jul 83% 83% Aug 76% 78% +2 Sep 76% 78% +2 Oct Nov +3 Dec +3 2014 2015
Jan 78% 83% +5 Feb 77% 76%
Mar 74% 74% Apr 76% 79% +3 May 75% 76% +1 Jun 75% 76% +1 Jul 79% 83% +4 Aug 77% 76%
Sep 76% 76% Oct 79% 76%
Nov 79% 73%
Dec 79% 77%
2016 2017 Chg. (pp) Jan +2 Feb +3 Mar +4
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.-7.5% +7.9% Jan/16 Mar/16 May/16 Jul/16 Sep/16
OALA ALAB LAB 2016 UDM 112.9 1.2 11.7 19.6 38.7 41.6 2015 118.2 1.3 10.7 20.3 42.5 43.5 2014 117.1 1.0 9.4 19.6 43.7 43.4 2013 115.9 0.8 7.7 18.9 44.3 44.1 2012 119.3 3.1 5.9 14.5 48.2 47.6 2011 116.1 11.3 3.2 8.6 48.7 44.3
ALAB OALA
(ASK in billion) (seats)
LAB
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2017 2017E LAB OALA ALAB Industr try Aircraf aft +8 A320s +8 A320s +16 A A320s ASKs +10 to 15% +10 to 15% +3 to to 5% 5%
Others
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Stati tisti tic His isto tori rical Resu sults ts Prev eviou ious Guid idanc nce Full ll-yea year r 2016 Revise sed Guid idanc nce Full ll-yea year r 2016 +/ +/-
9M16 9M16 From To Total supply variation (ASK)
8% 8% Total seats
17% 17% Total volume of departures
17% 17% Operating Margin (EBIT) 6.9% 4% 6% 6% 6%
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94 92 91 88 84 117 5 24 120 20 129 28 122 25 2016 2017 2018 2019 2020 13 23 124 25 700 MAX 800
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Investo estor r Relation
ri@voegol.com.br +55 11 2128 4700 www.voegol.com.br/ri
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This presentation may contain certain statements that express GOL Linhas Aéreas Inteligentes S.A. (“GOL”) management’s expectations, beliefs and assumptions about future events or results. Such statements are not historical fact, being based on currently available competitive, financial and economic data, and on current projections about the industries in which GOL operates. The verbs “anticipate”, “believe”, “estimate”, “expect”, “forecast”, “plan”, “predict”, “project”, “target” and other similar verbs are intended to identify these forward-looking statements, which involve risks and uncertainties that could cause actual results to differ materially from those projected in this presentation and do not guarantee any future GOL performance. The factors that might affect performance include, but are not limited to: (i) market acceptance of GOL services; (ii) volatility related to (a) the Brazilian economy and financial and securities markets and (b) the highly competitive industries GOL operates in; (iii) changes in (a) domestic and foreign legislation and taxation and (b) government policies related to the transportation markets; (iv) increasing competition from new entrants to the Brazilian markets; (v) ability to keep up with rapid changes in technological environment; (vi) ability to maintain an ongoing process for introducing competitive new products and services, while maintaining the competitiveness of existing ones; (vii) ability to attract customers in domestic and foreign jurisdictions. Other factors that could materially affect results can be found in GOL’s annual report on Form 20-F for the year ended December 31, 2015 as filed with the U.S. Securities and Exchange Commission on April 28, 2016, including under “Item 3. Key Information—D. Risk Factors”. All forward-looking statements in this presentation are based on information and data available as of the date they were made, and GOL undertakes no obligation to update them in light of new information or future development.
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