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Yes ______ No ___X___
GOL discloses preliminary traffic figures for June 2018 |
São Paulo, July 5, 2018 - GOL Linhas Aéreas Inteligentes S.A., (NYSE: GOL and B3: GOLL4), announces today preliminary air traffic figures for the month of June, 2018. Comparisons refer to the same period of 2017.
Highlights
| GOL’s domestic demand (RPK) grew by 6.7% and GOL’s domestic load factor increased 0.6 p.p. in comparison to June 2017, achieving 79.6%. GOL’s domestic supply (ASK) increased 5.9% as volume of departures and number of seats increased by 0.9% and 4.5%, respectively over June 2017.
| In June 2018, international demand (RPK) and supply (ASK) and decreased by 16.6% and 5.8%, respectively, and international load factor decreased by 8.0 p.p. in relation to June 2017.
| Total demand (RPK) was up 4.6% in comparison to June 2017 and consolidated load factor was 78.0%. Supply (ASKs) increased 4.7% due to a longer average stage length and a 3.5% increase in the number of seats. The total volume of departures was the same level as June 2017.
| GOL’s cargo volumes transported increased by 20.4% during the month to 9.5 tons.
|
Monthly Traffic Figures (¹) |
Quarter Traffic Figures (¹) |
Accumulated Traffic Figures (¹) | ||||||
Operational data * |
June/18 |
June/17 |
% Var. |
2Q18 |
2Q17 |
% Var. |
6M18 |
6M17 |
% Var. |
Total GOL |
|
|
|
||||||
Departures |
19,020 |
19,015 |
0.0% |
58,257 |
57,883 |
0.6% |
122,706 |
121,983 |
0.6% |
Seats (thousand) |
3,294 |
3,181 |
3.5% |
9,888 |
9,680 |
2.1% |
20,688 |
20,414 |
1.3% |
ASK (million) |
3,609 |
3,446 |
4.7% |
10,652 |
10,447 |
2.0% |
23,073 |
22,466 |
2.7% |
RPK (million) |
2,814 |
2,690 |
4.6% |
8,338 |
8,135 |
2.5% |
18,327 |
17,697 |
3.6% |
Load Factor |
78.0% |
78.1% |
-0.1 p.p. |
78.3% |
77.9% |
0.4 p.p. |
79.4% |
78.8% |
0.6 p.p. |
Pax on board (thousand) |
2,521 |
2,420 |
4.2% |
7,531 |
7,313 |
3.0% |
15,857 |
15,553 |
2.0% |
Domestic GOL |
|
|
|
||||||
Departures |
18,210 |
18,046 |
0.9% |
55,516 |
54,768 |
1.4% |
115,626 |
115,181 |
0.4% |
Seats (thousand) |
3,147 |
3,010 |
4.5% |
9,399 |
9,129 |
3.0% |
19,525 |
19,210 |
1.6% |
ASK (million) |
3,280 |
3,098 |
5.9% |
9,595 |
9,323 |
2.9% |
20,375 |
20,013 |
1.8% |
RPK (million) |
2,610 |
2,446 |
6.7% |
7,611 |
7,302 |
4.2% |
16,305 |
15,809 |
3.1% |
Load Factor |
79.6% |
79.0% |
0.6 p.p. |
79.3% |
78.3% |
1.0 p.p. |
80.0% |
79.0% |
1.0 p.p. |
Pax on board (thousand) |
2,429 |
2,304 |
5.4% |
7,196 |
6,915 |
4.1% |
14,924 |
14,638 |
2.0% |
International GOL |
|
|
|
|
|
|
|
|
|
Departures |
810 |
969 |
-16.4% |
2,741 |
3,115 |
-12.0% |
7,080 |
6,802 |
4.1% |
Seats (thousand) |
147 |
171 |
-14.1% |
488 |
551 |
-11.4% |
1,162 |
1,203 |
-3.4% |
ASK (million) |
328 |
348 |
-5.8% |
1,057 |
1,124 |
-6.0% |
2,698 |
2,453 |
10.0% |
RPK (million) |
203 |
244 |
-16.6% |
727 |
833 |
-12.7% |
2,022 |
1,888 |
7.1% |
Load Factor |
62.0% |
70.0% |
-8.0 p.p. |
68.8% |
74.1% |
-5.3 p.p. |
75.0% |
77.0% |
-2.0 p.p. |
Pax on board (thousand) |
91 |
116 |
-21.2% |
335 |
398 |
-15.9% |
933 |
915 |
1.9% |
On-time Departures |
92.4% |
96.0% |
-3.6 p.p. |
93.6% |
96.0% |
-2.4 p.p. |
93.9% |
95.3% |
-1.4 p.p. |
Flight Completion |
98.5% |
98.2% |
0.3 p.p. |
98.7% |
98.1% |
0.6 p.p. |
98.3% |
98.4% |
-0.1 p.p. |
Cargo Ton |
9.5 |
7.9 |
20.4% |
27.7 |
25.1 |
10.4% |
53.4 |
48.2 |
10.7% |
* Source: Agência Nacional de Aviação Civil (ANAC) and the Company for the current month.
(1) Preliminary Figures
1 |
|
GOL Linhas Aéreas Inteligentes S.A. |
GOL discloses preliminary traffic figures for June 2018 |
Investor Relations
ri@voegol.com.br
www.voegol.com.br/ir
+55 (11) 2128-4700
About GOL Linhas Aéreas Inteligentes S.A.
GOL serves more than 30 million passengers annually. With Brazil’s largest network, GOL offers customers more than 700 daily flights to 66 destinations in 10 countries in South America and the Caribbean. GOLLOG is a leading cargo transportation and logistics business serving more than 3,400 Brazilian municipalities and, through partners, more than 200 international destinations in 95 countries. SMILES is one of the largest coalition loyalty programs in Latin America, with over 13 million registered participants, allowing clients to accumulate miles and redeem tickets for more than 700 locations worldwide. Headquartered in São Paulo, GOL has a team of more than 15,000 highly skilled aviation professionals and operates a fleet of 120 Boeing 737 aircraft, with a further 120 Boeing 737 MAX on order, delivering Brazil's top on-time performance and an industry leading 17 year safety record. GOL has invested billions of reais in facilities, products and services and technology to enhance the customer experience in the air and on the ground. GOL's shares are traded on the NYSE (GOL) and the B3 (GOLL4). For further information, visit www.voegol.com.br/ir.
2 |
|
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.