American Airlines (AAL) EBITDA (2009 - 2026)
American Airlines (AAL) posted EBITDA of $924 million for Q2 2026, down 42.6% from $1.61 billion a year earlier but up 112.9% from the prior quarter.
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Analysis
American Airlines (AAL) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at American Airlines was $2.91 billion, down 27.6% year-over-year; for FY2025, it came in at $3.36 billion, down 26.1% from FY2024.
- In prior years, American Airlines' EBITDA was $4.54 billion in FY2024 (-8.7%), $4.97 billion in FY2023 (+38.7%), $3.58 billion in FY2022 (+273.3%) and $960 million in FY2021.
- Quarterly EBITDA has run from a low of -$1.23 billion in Q1 2022 to a high of $2.65 billion in Q2 2023 over five years.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with growth averaging 16.3%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2026, with growth of 119.2%; the weakest was Q3 2023, with a decline of 81.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $434 million (Q1 2026), $924 million (Q4 2025) and $625 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.53 Bn | 169.78 Bn | - | 3.59 Bn |
| 2 | Csx | 96.17 Bn | 91.39 Bn | - | 1.98 Bn |
| 3 | United Parcel Service | 89.22 Bn | 66.11 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 80.68 Bn | 79.70 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 75.86 Bn | 70.32 Bn | - | 1.51 Bn |
| 6 | Fedex | 72.45 Bn | 38.40 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 52.81 Bn | 34.99 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 38.63 Bn | 37.89 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 33.61 Bn | -24.09 Bn | - | 2.22 Bn |
| 10 | American Airlines | 8.32 Bn | -15.72 Bn | - | 924.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 924.00 Mn |
| Mar 31, 2026 | 434.00 Mn |
| Dec 31, 2025 | 924.00 Mn |
| Sep 30, 2025 | 625.00 Mn |
| Jun 30, 2025 | 1.61 Bn |
| Mar 31, 2025 | 198.00 Mn |
| Dec 31, 2024 | 1.64 Bn |
| Sep 30, 2024 | 568.00 Mn |
| Jun 30, 2024 | 1.86 Bn |
| Mar 31, 2024 | 477.00 Mn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 264.00 Mn |
| Jun 30, 2023 | 2.65 Bn |
| Mar 31, 2023 | 924.00 Mn |
| Dec 31, 2022 | 1.87 Bn |
| Sep 30, 2022 | 1.42 Bn |
| Jun 30, 2022 | 1.52 Bn |
| Mar 31, 2022 | -1.23 Bn |
| Dec 31, 2021 | -200.00 Mn |
| Sep 30, 2021 | 1.08 Bn |
API Access
American Airlines EBITDA 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=ebitda&ticker=AAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();