American Airlines (AAL) Capital Expenditures (2009 - 2026)
American Airlines' Capital Expenditures was $822 million in Q2 2026, up 64.7% from $499 million a year earlier and up 1.4% from the prior quarter.
American Airlines (AAL) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Airlines' Capital Expenditures was $4.09 billion through Jun 30, 2026, up 61.6% year-over-year; for FY2025, it came in at $3.78 billion, up 40.8% from FY2024.
- Capital Expenditures has now increased for three consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $2.68 billion in FY2024 (+3.4%), $2.6 billion in FY2023 (+2.0%), $2.55 billion in FY2022 and $208 million in FY2021 (-89.4%).
- Quarterly Capital Expenditures has moved between $98 million (Q4 2021) and $1.63 billion (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in three of the last eight quarters, with growth averaging 27.0%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2022 (growth of 600.0%); the worst was Q3 2021 (a decline of 60.5%).
- Per Business Quant data, AAL's Capital Expenditures in the three quarters before Q2 2026 was $811 million (Q1 2026), $1.63 billion (Q4 2025) and $826 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 873.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 547.98 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 439.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 693.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 77.04 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 1.34 Bn |
| 10 | American Airlines | 8.57 Bn | -15.47 Bn | - | 822.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 822.00 Mn |
| Mar 31, 2026 | 811.00 Mn |
| Dec 31, 2025 | 1.63 Bn |
| Sep 30, 2025 | 826.00 Mn |
| Jun 30, 2025 | 499.00 Mn |
| Mar 31, 2025 | 824.00 Mn |
| Dec 31, 2024 | 740.00 Mn |
| Sep 30, 2024 | 468.00 Mn |
| Jun 30, 2024 | 651.00 Mn |
| Mar 31, 2024 | 824.00 Mn |
| Dec 31, 2023 | 843.00 Mn |
| Sep 30, 2023 | 509.00 Mn |
| Jun 30, 2023 | 739.00 Mn |
| Mar 31, 2023 | 505.00 Mn |
| Dec 31, 2022 | 686.00 Mn |
| Sep 30, 2022 | 455.00 Mn |
| Jun 30, 2022 | 598.00 Mn |
| Mar 31, 2022 | 807.00 Mn |
| Dec 31, 2021 | 98.00 Mn |
| Sep 30, 2021 | 228.00 Mn |
American Airlines Capital Expenditures 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=capital-expenditures&ticker=AAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();