American Airlines (AAL) Shares Outstanding (Diluted) (2009 - 2026)
American Airlines (AAL) posted Shares Outstanding (Diluted) of 662.61 million for Q2 2026, up 0.3% from 660.37 million a year earlier and up 0.2% from the prior quarter.
American Airlines (AAL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, American Airlines' Shares Outstanding (Diluted) came in at 661.05 million, down 8.4% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, American Airlines' Shares Outstanding (Diluted) was 721.3 million in FY2024 (+0.2%), 719.67 million in FY2023 (+9.9%), 655.12 million in FY2022 (+1.7%) and 644.02 million in FY2021 (+33.1%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in six of the last eight quarters, with an average decline of 1.8%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 41.7%; the weakest was Q3 2023, with a decline of 8.6%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 661.18 million (Q1 2026), 661.05 million (Q4 2025) and 660.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.11 Bn | 168.36 Bn | - | 594.50 Mn |
| 2 | United Parcel Service | 94.53 Bn | 71.35 Bn | - | 852.00 Mn |
| 3 | Csx | 93.72 Bn | 88.94 Bn | - | 1.85 Bn |
| 4 | Canadian Pacific Kansas City | 83.01 Bn | 82.04 Bn | - | 887.10 Mn |
| 5 | Fedex | 75.20 Bn | 41.40 Bn | - | 239.00 Mn |
| 6 | Norfolk Southern | 73.60 Bn | 68.07 Bn | - | 225.20 Mn |
| 7 | Delta Air Lines | 56.18 Bn | 38.36 Bn | - | 659.00 Mn |
| 8 | United Airlines Holdings | 35.99 Bn | -21.71 Bn | - | 327.40 Mn |
| 9 | Old Dominion Freight Line | 35.33 Bn | 34.59 Bn | - | 208.72 Mn |
| 10 | American Airlines | 8.61 Bn | -16.57 Bn | - | 662.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 662.71 Mn |
| Jun 30, 2026 | 662.61 Mn |
| Mar 31, 2026 | 661.18 Mn |
| Dec 31, 2025 | 661.05 Mn |
| Sep 30, 2025 | 660.36 Mn |
| Jun 30, 2025 | 660.37 Mn |
| Mar 31, 2025 | 658.88 Mn |
| Dec 31, 2024 | 721.30 Mn |
| Sep 30, 2024 | 657.42 Mn |
| Jun 30, 2024 | 720.30 Mn |
| Mar 31, 2024 | 655.85 Mn |
| Dec 31, 2023 | 719.67 Mn |
| Sep 30, 2023 | 654.12 Mn |
| Jun 30, 2023 | 719.35 Mn |
| Mar 31, 2023 | 656.71 Mn |
| Dec 31, 2022 | 655.12 Mn |
| Sep 30, 2022 | 715.99 Mn |
| Jun 30, 2022 | 718.53 Mn |
| Mar 31, 2022 | 649.50 Mn |
| Dec 31, 2021 | 644.02 Mn |
American Airlines Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=AAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();