American International (AIG) Shares Outstanding (2009 - 2026)
American International (AIG) reported Shares Outstanding of 529.54 million for Q2 2026, down 7.6% from 572.82 million a year earlier and down 1.6% from the prior quarter.
American International (AIG) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, American International posted Shares Outstanding of 565.08 million, down 13.3% from FY2024.
- Shares Outstanding has declined for 14 consecutive years, with a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 651.45 million in FY2024 (-9.5%), 719.51 million in FY2023 (-7.6%), 778.62 million in FY2022 (-8.9%) and 854.32 million in FY2021 (-1.7%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding since Q4 2010.
- Year over year, Shares Outstanding has now declined in each of the last 57 quarters, with an average decline of 11.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 1.7% (Q3 2021) to 13.8% (Q3 2025).
- Per Business Quant data, the three quarters before Q2 2026 came in at 538.05 million (Q1 2026), 565.08 million (Q4 2025) and 553.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.57 Bn | 87.15 Bn | 9.13 Bn | 387.41 Mn |
| 2 | Progressive | 133.20 Bn | 109.03 Bn | 9.04 Bn | 583.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.10 Bn | 86.26 Bn | - | 476.00 Mn |
| 4 | Travelers Companies | 85.25 Bn | 61.50 Bn | 6.23 Bn | 210.50 Mn |
| 5 | Manulife Financial | 77.67 Bn | -17.21 Bn | - | 1.70 Bn |
| 6 | Arthur J. Gallagher | 68.98 Bn | 63.38 Bn | - | 256.70 Mn |
| 7 | Metlife | 66.23 Bn | -40.55 Bn | 7.82 Bn | 642.60 Mn |
| 8 | Allstate | 65.98 Bn | 27.25 Bn | 8.73 Bn | 256.00 Mn |
| 9 | Aon | 64.97 Bn | 58.19 Bn | - | 213.20 Mn |
| 10 | American International | 43.81 Bn | 6.00 Bn | 3.50 Bn | 529.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 529.54 Mn |
| Mar 31, 2026 | 538.05 Mn |
| Dec 31, 2025 | 565.08 Mn |
| Sep 30, 2025 | 553.31 Mn |
| Jun 30, 2025 | 572.82 Mn |
| Mar 31, 2025 | 593.84 Mn |
| Dec 31, 2024 | 651.45 Mn |
| Sep 30, 2024 | 641.62 Mn |
| Jun 30, 2024 | 661.09 Mn |
| Mar 31, 2024 | 682.58 Mn |
| Dec 31, 2023 | 719.51 Mn |
| Sep 30, 2023 | 712.60 Mn |
| Jun 30, 2023 | 725.75 Mn |
| Mar 31, 2023 | 738.66 Mn |
| Dec 31, 2022 | 778.62 Mn |
| Sep 30, 2022 | 763.05 Mn |
| Jun 30, 2022 | 790.90 Mn |
| Mar 31, 2022 | 816.31 Mn |
| Dec 31, 2021 | 854.32 Mn |
| Sep 30, 2021 | 852.77 Mn |
American International Shares Outstanding 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&ticker=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "AIG", "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&ticker=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();