*In this material, definitions are, FY: fiscal year (from April 1 to March 31 of the next year), Q1: from April to June, Q2: from July to September, Q3: from October to December, Q4: from January to March
1
Operating revenues reached a record high, but fell short of the Q1 assumption1 in the
earnings forecast
The average price per passenger exceeded the Q1 target, rising by JPY 861 (+7.5%) year-on-year to JPY 12,330, driven by strategic price increases
While a decrease was anticipated due to the yield improvement strategy, the number of revenue passengers declined by 6.9% year-on-year to 1,856 thousand, exceeding expectations amid intensified price competition
2
Despite posting a seasonal loss, all key profit metrics exceeded their Q1 targets, supported by cost reductions from lower crude oil prices and a stronger yen
Operating loss improved year-on-year driven by controlling costs despite increased expenses resulting from reduced government support and increased personnel investments
Ordinary loss reflected foreign exchange losses on foreign currency-denominated assets and liabilities due to yen appreciation
3
Continued focus on evolution and transformation to a more profitable business structure
Various measures were implemented, including the introduction of new fares, preparations for launching web reservations for
forward seats, revisions to various fees, and the expansion of cargo routes
4
Ordered six new Boeing 737-8s and three additional 737-10s
A total of 20 aircraft have been contracted to replace all of the current fleet of Boeing 737-800s
Note:
1. Hereafter, 'Q1 assumption' will be referred to as 'Q1 target'
Overview of Financial Results for Q1 FY2025 Operating revenues reached a record high, while the seasonal operating loss improved year-on-yearBroke the record
Operating Revenues
Financial Results | ||||
Q1 FY2024 Unit: JPY MM | Q1 FY2025 | vs. Q1 FY2024 | ||
Operating Revenues | 23,542 | 23,579 | +0.2% | |
Passenger Revenues | 22,860 | 22,885 | +0.1% | |
Other Revenues | 681 | 693 | +1.8% | |
Operating Expenses | 25,725 | 25,210 | ▲2.0% | |
Operating Costs | 24,097 | 23,444 | ▲2.7% | |
SG&A | 1,628 | 1,765 | +8.5% | |
Operating Income (Loss) | ▲2,182 | ▲1,630 | - | |
Operating Income Margin (%) | ▲9.3 | ▲6.9 | +2.4pt | |
Ordinary Income (Loss) | ▲1,024 | ▲3,113 | - | |
Income(Loss) before Income Taxes | ▲1,024 | ▲3,113 | - | |
Net Income (Loss) | ▲1,516 | ▲2,774 | - | |
Adjusted Net Income(Loss)1 | ▲670 | ▲2,036 | - | |
Dubai Crude Oil Price (After Hedging)(US$/Barrel) | 77.3 | 70.9 | ▲8.3% | |
Exchange Rate Used for Fuel Cost(After Hedging)(JPY/US$) | 151.9 | 146.2 | ▲3.8% | |
Exchange Rate Used for Foreign Currency Transactions (After Hedging)(JPY/US$) | 141.2 | 138.5 | ▲1.9% | |
(JPY Bn)
16.2
8.9
25.0
20.0
15.0
10.0
5.0
0.0
22.1
23.5 23.5
(JPY Bn) 0.0
▲5.0
Q1 FY2021
▲ 1.4
▲ 2.2
▲ 2.1
▲ 1.6
Operating Income (Loss)
▲ 6.1
Q1 FY2022
Q1 FY2023
Q1 FY2024
Q1 FY2025
Note:
1. Income (loss) before income taxes ×(1-effective tax rate 34.59%)
▲10.0
Q1
FY2021
Q1
FY2022
Q1
FY2023
Q1
FY2024
Q1
FY2025
Travel DemandThe number of passengers declined year on year due to a strategic increase in average price per passenger To respond to intensifying price competition in non-business demand, we implemented dynamic pricing strategies based on specific routes and time of day
Q1 FY2025
Revenue passengers: 93% YoY
Passenger Demand (Reference) Monthly Trends
Revenue passengers (in thousands),
Number of seats (in thousands)
3,000
Revenue passengers
(in thousands)
98.6%
102.9%
100.0%
2,500
2,000
1,000
97.3%
702
92.0% 92.4%
94.9%
93.4%
624
608
643
634
682
692
675
660
624
574
640 641
707
90.0%
1,500
500
1,000
80.0%
2,435
2,441
2,453
2,418
2,503
2,523
2,514
2,463
2,510
2,082
2,156
2,024
2,045
1,890
1,951
1,993
1,945
1,856
500
0
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1
0
1月
2月
3月
4月
5月
6月
7月
Jan Feb Mar Apr May Jun Jul
70.0%
FY2023
Revenue passengers
FY2024
FY2025
前年同月比
2025年
2024年
2024
2025
YoY change
Number of seats
Load Factor and Yield Performance(Q1)Efforts to improve average price per passenger resulted in a decline in load factor1 but a significant increase in yield2
Seeking the optimal balance between load factor and average price per passenger based on demand trends and market conditions to maximize revenue
Load Factor Yield
(Unit: JPY)
COVID-19
100%
12.0
COVID-19
11.8
90%
80%
70%
60%
50%
81% 81% 80%
79% 81%
60%
74%
11.5
11.0
10.5
10.0
9.7
9.9
Q1 FY2025
Average Price
per Passenger : JPY12,330 vs. Q1 FY2024: +JPY861
vs. Q1 Target: +JPY143
10.6
11.3
45%
10.0
11.2
10.8
10.9
40%
9.5
36%
30%
0%
Q1 Q1 Q1
Q1 Q1
Q1 Q1
Q1 Q1
0
9.0
Q1 Q1
Q1 Q1
Q1 Q1
Q1 Q1 Q1
Notes:
FY2017 FY2018 FY2019 FY2020 FY2021 FY2022 FY2023 FY2024 FY2025
FY2017 FY2018 FY2019 FY2020 FY2021 FY2022 FY2023 FY2024 FY2025
Load Factor is calculated as follows: RPK (revenue passenger kilometers) / ASK (available seat kilometers)
Yield is calculated as follows: Passenger Revenue / RPK
