Aon (AON) Shares Outstanding (Diluted) (2009 - 2026)
Aon (AON) posted Shares Outstanding (Diluted) of 213.9 million for Q2 2026, down 1.6% from 217.3 million a year earlier and down 0.7% from the prior quarter.
Aon (AON) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Aon's Shares Outstanding (Diluted) came in at 217.1 million, up 2.2% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Aon's 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 Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in five of the last eight quarters, with growth averaging 2.5%.
- The strongest year-over-year quarter for 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, Shares Outstanding (Diluted) for the three prior quarters was 215.4 million (Q1 2026), 217.1 million (Q4 2025) and 216.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.30 Bn | 80.89 Bn | 9.13 Bn | 391.25 Mn |
| 2 | Progressive | 130.32 Bn | 106.15 Bn | 9.04 Bn | 584.20 Mn |
| 3 | Marsh & Mclennan Companies | 85.17 Bn | 76.66 Bn | - | 482.00 Mn |
| 4 | Travelers Companies | 78.40 Bn | 54.65 Bn | 6.23 Bn | 213.60 Mn |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - | 1.71 Bn |
| 6 | Metlife | 64.41 Bn | -42.37 Bn | 7.82 Bn | 646.90 Mn |
| 7 | Allstate | 60.46 Bn | 21.73 Bn | 8.73 Bn | 259.10 Mn |
| 8 | Arthur J. Gallagher | 60.04 Bn | 54.44 Bn | - | 258.70 Mn |
| 9 | Aon | 58.69 Bn | 51.91 Bn | - | 213.90 Mn |
| 10 | Aflac | 58.66 Bn | 33.88 Bn | 2.27 Bn | 505.58 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 225.40 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();