Aon (AON) Shares Outstanding (Diluted) (2009 - 2026)
Aon (AON) posted Weighted Average Shares Outstanding (Diluted) of 213 million for Q3 2026, down 1.7% from 216.7 million a year earlier and down 0.4% from the prior quarter.
Aon (AON) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Aon's Weighted Average Shares Outstanding (Diluted) came in at 217.1 million, up 2.2% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Aon's Weighted Average Shares Outstanding (Diluted) was 212.5 million in FY2024 (+3.7%), 205 million in FY2023 (-3.8%), 213.2 million in FY2022 (-5.7%) and 226.1 million in FY2021 (-3.0%).
- The Q3 2026 figure stands as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last three quarters, with growth averaging 1.4% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 8.9%; the weakest was Q2 2022, with a decline of 5.8%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 213.9 million (Q2 2026), 215.4 million (Q1 2026) and 217.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 141.98 Bn | 87.62 Bn | 8.67 Bn | 389.37 Mn |
| 2 | Progressive | 133.50 Bn | 109.33 Bn | 9.04 Bn | 584.20 Mn |
| 3 | Marsh & Mclennan Companies | 97.38 Bn | 89.54 Bn | - | 479.00 Mn |
| 4 | Travelers Companies | 83.31 Bn | 59.56 Bn | 6.23 Bn | 213.60 Mn |
| 5 | Manulife Financial | 76.34 Bn | -18.55 Bn | - | 1.71 Bn |
| 6 | Arthur J. Gallagher | 70.45 Bn | 70.45 Bn | - | 258.70 Mn |
| 7 | Aon | 70.28 Bn | 49.48 Bn | - | 213.00 Mn |
| 8 | Allstate | 66.95 Bn | 28.22 Bn | 8.73 Bn | 259.10 Mn |
| 9 | Metlife | 64.79 Bn | -41.99 Bn | 7.82 Bn | 646.90 Mn |
| 10 | Aflac | 62.88 Bn | 38.09 Bn | 2.27 Bn | 505.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 213.00 Mn |
| Jun 30, 2026 | 213.90 Mn |
| Mar 31, 2026 | 215.40 Mn |
| Dec 31, 2025 | 217.10 Mn |
| Sep 30, 2025 | 216.70 Mn |
| Jun 30, 2025 | 217.30 Mn |
| Mar 31, 2025 | 217.90 Mn |
| Dec 31, 2024 | 212.50 Mn |
| Sep 30, 2024 | 218.40 Mn |
| Jun 30, 2024 | 213.30 Mn |
| Mar 31, 2024 | 200.10 Mn |
| Dec 31, 2023 | 205.00 Mn |
| Sep 30, 2023 | 204.60 Mn |
| Jun 30, 2023 | 206.30 Mn |
| Mar 31, 2023 | 207.10 Mn |
| Dec 31, 2022 | 213.20 Mn |
| Sep 30, 2022 | 212.60 Mn |
| Jun 30, 2022 | 214.70 Mn |
| Mar 31, 2022 | 216.40 Mn |
| Dec 31, 2021 | 226.10 Mn |
Aon 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=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AON", "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=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();