American Airlines (AAL) Revenue (2009 - 2026)
American Airlines (AAL) posted Revenue of $16.74 billion for Q2 2026, up 16.3% from $14.39 billion a year earlier and up 20.3% from the prior quarter.
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Analysis
American Airlines (AAL) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at American Airlines was $58.34 billion, up 7.5% year-over-year; for FY2025, it was $54.63 billion, up 0.8% from FY2024.
- Annual Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- In prior years, American Airlines' Revenue was $54.21 billion in FY2024 (+2.7%), $52.79 billion in FY2023 (+7.8%), $48.97 billion in FY2022 (+63.9%) and $29.88 billion in FY2021 (+72.4%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2009.
- On a year-over-year basis, Revenue has increased in each of the last five quarters, with growth averaging 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 182.7%; the weakest was Q4 2023, with a decline of 1.0%.
- According to Business Quant data, Revenue for the three prior quarters was $13.91 billion (Q1 2026), $14 billion (Q4 2025) and $13.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 6.86 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 3.94 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 3.01 Bn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 3.47 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 22.83 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 25.01 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 19.76 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 1.55 Bn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 17.67 Bn |
| 10 | American Airlines | 8.57 Bn | -15.47 Bn | - | 16.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.74 Bn |
| Mar 31, 2026 | 13.91 Bn |
| Dec 31, 2025 | 14.00 Bn |
| Sep 30, 2025 | 13.69 Bn |
| Jun 30, 2025 | 14.39 Bn |
| Mar 31, 2025 | 12.55 Bn |
| Dec 31, 2024 | 13.66 Bn |
| Sep 30, 2024 | 13.65 Bn |
| Jun 30, 2024 | 14.33 Bn |
| Mar 31, 2024 | 12.57 Bn |
| Dec 31, 2023 | 13.06 Bn |
| Sep 30, 2023 | 13.48 Bn |
| Jun 30, 2023 | 14.06 Bn |
| Mar 31, 2023 | 12.19 Bn |
| Dec 31, 2022 | 13.19 Bn |
| Sep 30, 2022 | 13.46 Bn |
| Jun 30, 2022 | 13.42 Bn |
| Mar 31, 2022 | 8.90 Bn |
| Dec 31, 2021 | 9.43 Bn |
| Sep 30, 2021 | 8.97 Bn |
API Access
American Airlines Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=AAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "AAL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();