Allstate (ALL) Shares Outstanding (Diluted) (2009 - 2026)
Allstate's Shares Outstanding (Diluted) was 259.1 million in Q2 2026, down 3.3% from 267.9 million a year earlier and down 1.3% from the prior quarter.
Allstate (ALL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Allstate came in at 267.1 million, down 0.3% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 267.8 million in FY2024 (+2.0%), 262.5 million in FY2023 (-3.2%), 271.2 million in FY2022 (-9.3%) and 299.1 million in FY2021 (-5.2%).
- 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 four straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2024 (growth of 2.4%); the worst was Q3 2022 (a decline of 9.8%).
- Per Business Quant data, ALL's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 262.6 million (Q1 2026), 267.1 million (Q4 2025) and 266.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.72 Bn | 81.30 Bn | 9.13 Bn | 391.25 Mn |
| 2 | Progressive | 130.41 Bn | 106.24 Bn | 9.04 Bn | 584.20 Mn |
| 3 | Marsh & Mclennan Companies | 85.49 Bn | 76.98 Bn | - | 482.00 Mn |
| 4 | Travelers Companies | 78.59 Bn | 54.84 Bn | 6.23 Bn | 213.60 Mn |
| 5 | Manulife Financial | 73.78 Bn | -21.10 Bn | - | 1.71 Bn |
| 6 | Metlife | 64.71 Bn | -42.07 Bn | 7.82 Bn | 646.90 Mn |
| 7 | Allstate | 60.59 Bn | 21.86 Bn | 8.73 Bn | 259.10 Mn |
| 8 | Arthur J. Gallagher | 60.16 Bn | 54.57 Bn | - | 258.70 Mn |
| 9 | Aon | 58.80 Bn | 52.02 Bn | - | 213.90 Mn |
| 10 | Aflac | 58.68 Bn | 33.89 Bn | 2.27 Bn | 505.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 259.10 Mn |
| Mar 31, 2026 | 262.60 Mn |
| Dec 31, 2025 | 267.10 Mn |
| Sep 30, 2025 | 266.40 Mn |
| Jun 30, 2025 | 267.90 Mn |
| Mar 31, 2025 | 268.80 Mn |
| Dec 31, 2024 | 267.80 Mn |
| Sep 30, 2024 | 268.00 Mn |
| Jun 30, 2024 | 267.10 Mn |
| Mar 31, 2024 | 266.50 Mn |
| Dec 31, 2023 | 262.50 Mn |
| Sep 30, 2023 | 261.80 Mn |
| Jun 30, 2023 | 262.60 Mn |
| Mar 31, 2023 | 263.50 Mn |
| Dec 31, 2022 | 271.20 Mn |
| Sep 30, 2022 | 268.70 Mn |
| Jun 30, 2022 | 273.80 Mn |
| Mar 31, 2022 | 281.80 Mn |
| Dec 31, 2021 | 299.10 Mn |
| Sep 30, 2021 | 297.90 Mn |
Allstate 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=ALL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ALL", "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=ALL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();