American Airlines (AAL) Property, Plant & Equipment (Net) (2009 - 2026)
American Airlines (AAL) posted Property, Plant & Equipment (Net) of $33.63 billion for Q3 2026, up 6.9% from $31.46 billion a year earlier and up 1.6% from the prior quarter.
American Airlines (AAL) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, American Airlines' Property, Plant & Equipment (Net) came in at $32.54 billion, up 4.5% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four consecutive years, with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, American Airlines' Property, Plant & Equipment (Net) was $31.13 billion in FY2024 (+1.2%), $30.76 billion in FY2023 (+1.9%), $30.2 billion in FY2022 (+2.2%) and $29.54 billion in FY2021 (-6.8%).
- The Q3 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q1 2020.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 17 quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2026, with growth of 6.9%; the weakest was Q4 2021, with a decline of 6.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $33.08 billion (Q2 2026), $32.83 billion (Q1 2026) and $32.54 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 60.63 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 37.92 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 37.14 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 40.31 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 39.12 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 36.86 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 42.21 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 49.37 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 4.41 Bn |
| 10 | American Airlines | 8.74 Bn | -16.44 Bn | - | 33.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.63 Bn |
| Jun 30, 2026 | 33.08 Bn |
| Mar 31, 2026 | 32.83 Bn |
| Dec 31, 2025 | 32.54 Bn |
| Sep 30, 2025 | 31.46 Bn |
| Jun 30, 2025 | 31.20 Bn |
| Mar 31, 2025 | 31.32 Bn |
| Dec 31, 2024 | 31.13 Bn |
| Sep 30, 2024 | 30.85 Bn |
| Jun 30, 2024 | 31.04 Bn |
| Mar 31, 2024 | 31.16 Bn |
| Dec 31, 2023 | 30.76 Bn |
| Sep 30, 2023 | 30.32 Bn |
| Jun 30, 2023 | 30.27 Bn |
| Mar 31, 2023 | 30.14 Bn |
| Dec 31, 2022 | 30.20 Bn |
| Sep 30, 2022 | 29.99 Bn |
| Jun 30, 2022 | 29.99 Bn |
| Mar 31, 2022 | 29.86 Bn |
| Dec 31, 2021 | 29.54 Bn |
American Airlines Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();