American Airlines (AAL) Total Liabilities (2009 - 2026)
American Airlines' Total Liabilities was $68.21 billion in Q2 2026, up 1.0% from $67.54 billion a year earlier and up 0.6% from the prior quarter.
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Analysis
American Airlines (AAL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at American Airlines came in at $65.5 billion, down 0.4% from FY2024.
- Total Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $65.76 billion in FY2024 (-3.7%), $68.26 billion in FY2023 (-3.2%), $70.52 billion in FY2022 (-4.5%) and $73.81 billion in FY2021 (+7.2%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q3 2024.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 1.8%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 11.1%); the worst was Q2 2023 (a decline of 6.2%).
- Per Business Quant data, AAL's Total Liabilities in the three quarters before Q2 2026 was $67.82 billion (Q1 2026), $65.5 billion (Q4 2025) and $66.1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 178.24 Bn | 170.49 Bn | - | 50.59 Bn |
| 2 | Csx | 96.35 Bn | 91.58 Bn | - | 30.82 Bn |
| 3 | Canadian Pacific Kansas City | 80.12 Bn | 79.83 Bn | - | 29.33 Bn |
| 4 | United Parcel Service | 79.53 Bn | 56.45 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 76.33 Bn | 70.79 Bn | - | 29.22 Bn |
| 6 | Fedex | 72.68 Bn | 38.63 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 53.59 Bn | 35.78 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 38.80 Bn | 38.06 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 34.02 Bn | -23.68 Bn | - | 67.37 Bn |
| 10 | American Airlines | 8.35 Bn | -15.69 Bn | - | 68.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.21 Bn |
| Mar 31, 2026 | 67.82 Bn |
| Dec 31, 2025 | 65.50 Bn |
| Sep 30, 2025 | 66.10 Bn |
| Jun 30, 2025 | 67.54 Bn |
| Mar 31, 2025 | 67.12 Bn |
| Dec 31, 2024 | 65.76 Bn |
| Sep 30, 2024 | 68.38 Bn |
| Jun 30, 2024 | 68.87 Bn |
| Mar 31, 2024 | 69.88 Bn |
| Dec 31, 2023 | 68.26 Bn |
| Sep 30, 2023 | 70.85 Bn |
| Jun 30, 2023 | 71.65 Bn |
| Mar 31, 2023 | 72.56 Bn |
| Dec 31, 2022 | 70.52 Bn |
| Sep 30, 2022 | 74.55 Bn |
| Jun 30, 2022 | 76.39 Bn |
| Mar 31, 2022 | 76.34 Bn |
| Dec 31, 2021 | 73.81 Bn |
| Sep 30, 2021 | 75.87 Bn |
API Access
American Airlines Total Liabilities 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=total-liabilities&ticker=AAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();