American Financial (AFG) Shares Outstanding (2009 - 2026)
American Financial (AFG) reported Shares Outstanding of 83 million for Q2 2026, down 0.6% from 83.5 million a year earlier and down 0.4% from the prior quarter.
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Analysis
American Financial (AFG) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, American Financial posted Shares Outstanding of 83.5 million, down 0.5% from FY2024.
- Shares Outstanding has declined for three consecutive years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 83.9 million in FY2024 (-0.9%), 84.7 million in FY2023 (-0.5%), 85.1 million in FY2022 (unchanged) and 85.1 million in FY2021 (-4.1%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding in data going back to Q2 2009.
- Year over year, Shares Outstanding has now declined in each of the last five quarters, with an average decline of 0.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q3 2022 (growth of 0.5%); the low point was Q4 2021 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 83.3 million (Q1 2026), 83.5 million (Q4 2025) and 83.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.44 Mn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 387.41 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 583.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 480.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 210.50 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.70 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 642.60 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.20 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 256.70 Mn |
| 10 | American Financial | 11.34 Bn | 1.86 Bn | 1.03 Bn | 83.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.00 Mn |
| Mar 31, 2026 | 83.30 Mn |
| Dec 31, 2025 | 83.50 Mn |
| Sep 30, 2025 | 83.40 Mn |
| Jun 30, 2025 | 83.50 Mn |
| Mar 31, 2025 | 83.80 Mn |
| Dec 31, 2024 | 83.90 Mn |
| Sep 30, 2024 | 83.90 Mn |
| Jun 30, 2024 | 83.90 Mn |
| Mar 31, 2024 | 83.70 Mn |
| Dec 31, 2023 | 84.70 Mn |
| Sep 30, 2023 | 84.60 Mn |
| Jun 30, 2023 | 85.10 Mn |
| Mar 31, 2023 | 85.20 Mn |
| Dec 31, 2022 | 85.10 Mn |
| Sep 30, 2022 | 85.20 Mn |
| Jun 30, 2022 | 85.10 Mn |
| Mar 31, 2022 | 85.00 Mn |
| Dec 31, 2021 | 85.10 Mn |
| Sep 30, 2021 | 84.80 Mn |
API Access
American Financial 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=AFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "AFG", "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=AFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();