Indicate by check mark whether the registrant by furnishing the
information contained in this Form is also thereby furnishing the
information to the Commission pursuant to Rule 12g3-2(b) under
the Securities Exchange Act of 1934.
Yes ______ No ___X___
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GOL discloses its preliminary traffic figures for June 2017
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São Paulo, July 10th, 2017 - GOL Linhas Aéreas Inteligentes S.A. (“GLAI”), (B3: GOLL4 and NYSE: GOL), Brazil's #1 airline, announces today preliminary air traffic figures for the month of June, 2017. Comparisons refer to the same period of 2016.
GOL’s Highlights
| The total volume of GOL departures decreased by 5.7%, and the number of seats declined 5.6%, occasioning a decrease in supply of 6.4%. Demand reduced by 2.5% in the period. GOL’s load factor was 78.1% in June 2017, 3.1 p.p. up over the same period of 2016.
| In the domestic market, GOL decreased its supply by 4.8% in June over the same period the year before. Domestic demand reduced by 1.1% in the month, and GOL achieved a load factor of 79.0%, 2.9 p.p. up over June 2016.
| In June, GOL’s international market supply fell by 19.0%, while demand reduced 14.4% resulting in a load factor of 70.1%, which represents growth of 3.8 p.p. in relation to the same period of 2016.
1 |
GOL Linhas Aéreas Inteligentes S.A. |
|
GOL discloses its preliminary traffic figures for June 2017
|
|
Monthly Traffic Figures (¹) |
Quarter Traffic Figures (¹) |
Accumulated Traffic Figures (¹) | ||||||
Operational data * |
June/17 |
June/16 |
% Var. |
2Q17 |
2Q16 |
% Var. |
6M17 |
6M16 |
% Var. |
Total GOL |
|
|
|
||||||
Departures |
19,015 |
20,170 |
-5.7% |
57,883 |
60,963 |
-5.1% |
121,983 |
135,162 |
-9.8% |
Seats (thousand) |
3,181 |
3,368 |
-5.6% |
9,680 |
10,157 |
-4.7% |
20,414 |
22,527 |
-9.4% |
ASK (million) |
3,446 |
3,682 |
-6.4% |
10,447 |
10,766 |
-3.0% |
22,466 |
23,028 |
-2.4% |
RPK (million) |
2,690 |
2,759 |
-2.5% |
8,135 |
8,096 |
0.5% |
17,697 |
17,593 |
0.6% |
Load Factor |
78.1% |
74.9% |
3.1 p.p |
77.9% |
75.2% |
2.7 p.p |
78.8% |
76.4% |
2.4 p.p |
Pax on board (thousand) |
2,420 |
2,423 |
-0.1% |
7,309 |
7,292 |
0.2% |
15,549 |
16,183 |
-3.9% |
Domestic GOL |
|
|
|
|
|
|
|
|
|
Departures |
18,046 |
18,983 |
-4.9% |
54,768 |
57,407 |
-4.6% |
115,181 |
127,682 |
-9.8% |
Seats (thousand) |
3,010 |
3,158 |
-4.7% |
9,129 |
9,531 |
-4.2% |
19,210 |
21,214 |
-9.4% |
ASK (million) |
3,099 |
3,253 |
-4.8% |
9,324 |
9,492 |
-1.8% |
20,014 |
20,348 |
-1.6% |
RPK (million) |
2,447 |
2,475 |
-1.1% |
7,302 |
7,212 |
1.2% |
15,809 |
15,608 |
1.3% |
Load Factor |
79.0% |
76.1% |
2.9 p.p |
78.3% |
76.0% |
2.3 p.p |
79.0% |
76.7% |
2.3 p.p |
Pax on board (thousand) |
2,304 |
2,289 |
0.7% |
6,910 |
6,872 |
0.6% |
14,634 |
15,224 |
-3.9% |
International GOL |
|
|
|
|
|
|
|
|
|
Departures |
969 |
1,187 |
-18.4% |
3,115 |
3,556 |
-12.4% |
6,802 |
7,480 |
-9.1% |
Seats (thousand) |
171 |
210 |
-18.4% |
551 |
627 |
-12.1% |
1,203 |
1,314 |
-8.4% |
ASK (million) |
347 |
429 |
-19.0% |
1,123 |
1,274 |
-11.9% |
2,452 |
2,680 |
-8.5% |
RPK (million) |
243 |
284 |
-14.4% |
833 |
884 |
-5.7% |
1,888 |
1,985 |
-4.9% |
Load Factor |
70.1% |
66.3% |
3.8 p.p |
74.2% |
69.3% |
4.8 p.p |
77.0% |
74.1% |
2.9 p.p |
Pax on board (thousand) |
116 |
134 |
-13.8% |
398 |
420 |
-5.1% |
915 |
959 |
-4.6% |
On-time Departures |
96.0% |
91.1% |
4.9 p.p |
96.0% |
94.5% |
1.5 p.p |
95.3% |
94.8% |
0.5 p.p |
Flight Completion |
98.2% |
96.6% |
1.5 p.p |
98.1% |
92.8% |
5.3 p.p |
98.4% |
90.7% |
7.7 p.p |
Cargo Ton |
8.1 |
7.5 |
8.9% |
25.3 |
22.8 |
11.2% |
49.0 |
45.2 |
8.5% |
* Source: Agência Nacional de Aviação Civil (ANAC) and the Company for the current month.
(1) Preliminary Figures
Investor Relations
ri@voegol.com.br
www.voegol.com.br/ir
+55(11)2128-4700
About GOL Linhas Aéreas Inteligentes S.A.
Brazil's largest airline group with three main businesses: passenger transportation. cargo transportation and coalition loyalty program. GOL is Brazil’s largest airline. carrying 33 million passengers annually on more than 700 daily flights to 63 destinations. 52 in Brazil and 11 in South America and the Caribbean. on a fleet of 120 Boeing 737 aircraft. with a further 120 Boeing 737s on order. GOLLOG is a leading cargo transportation and logistics business serving more than 2.200 Brazilian municipalities and. through partners. 205 international destinations in 95 countries. SMILES is one of the largest coalition loyalty programs in Latin America. with over 12 million registered participants. allowing clients to accumulate miles and redeem tickets for more than 700 locations worldwide. GOL has a team of more than 15.000 highly skilled aviation professionals delivering Brazil’s top on-time performance. and an industry leading 16 year safety record. GOL’s shares are traded on the NYSE (GOL) and the B3 (GOLL4).
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GOL Linhas Aéreas Inteligentes S.A. |
GOL LINHAS AÉREAS INTELIGENTES S.A. | ||
By: |
/S/ Richard Freeman Lark Junior | |
Name: Richard Freeman Lark Junior
Title: Investor Relations Officer |
This press release may contain forward-looking statements. These statements are statements that are not historical facts, and are based on management's current view and estimates offuture economic circumstances, industry conditions, company performance and financial results. The words "anticipates", "believes", "estimates", "expects", "plans" and similar expressions, as they relate to the company, are intended to identify forward-looking statements. Statements regarding the declaration or payment of dividends, the implementation of principal operating and financing strategies and capital expenditure plans, the direction of future operations and the factors or trends affecting financial condition, liquidity or results of operations are examples of forward-looking statements. Such statements reflect the current views of management and are subject to a number of risks and uncertainties. There is no guarantee that the expected events, trends or results will a ctually occur. The statements are based on many assumptions and factors, including general economic and market conditions, industry conditions, and operating factors. Any changes in such assumptions or factors could cause actual results to differ materially from current expectations.