Aflac (AFL) Shares Outstanding (Diluted) (2009 - 2026)
Aflac's Shares Outstanding (Diluted) was 505.58 million in Q2 2026, down 6.1% from 538.43 million a year earlier and down 1.8% from the prior quarter.
Aflac (AFL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Aflac came in at 534.88 million, down 5.3% from FY2024.
- Shares Outstanding (Diluted) has now declined for 13 consecutive years, with a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 565.02 million in FY2024 (-5.6%), 598.75 million in FY2023 (-6.1%), 637.66 million in FY2022 (-5.8%) and 676.73 million in FY2021 (-5.5%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 53 straight quarters, with an average decline of 5.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 5.0% (Q2 2025) to 6.3% (Q2 2023).
- Per Business Quant data, AFL's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 514.79 million (Q1 2026), 534.88 million (Q4 2025) and 532.02 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 | 505.58 Mn |
| Mar 31, 2026 | 514.79 Mn |
| Dec 31, 2025 | 534.88 Mn |
| Sep 30, 2025 | 532.02 Mn |
| Jun 30, 2025 | 538.43 Mn |
| Mar 31, 2025 | 546.88 Mn |
| Dec 31, 2024 | 565.02 Mn |
| Sep 30, 2024 | 560.41 Mn |
| Jun 30, 2024 | 566.84 Mn |
| Mar 31, 2024 | 577.48 Mn |
| Dec 31, 2023 | 598.75 Mn |
| Sep 30, 2023 | 593.60 Mn |
| Jun 30, 2023 | 602.93 Mn |
| Mar 31, 2023 | 613.95 Mn |
| Dec 31, 2022 | 637.66 Mn |
| Sep 30, 2022 | 631.95 Mn |
| Jun 30, 2022 | 643.24 Mn |
| Mar 31, 2022 | 652.83 Mn |
| Dec 31, 2021 | 676.73 Mn |
| Sep 30, 2021 | 671.93 Mn |
Aflac 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=AFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AFL", "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=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();