Safety Insurance (SAFT) Shares Outstanding (Diluted) (2010 - 2026)
Safety Insurance's Shares Outstanding (Diluted) came in at 14.56 million for Q2 2026, down 1.5% from 14.78 million a year earlier but up 0.4% from the prior quarter.
Safety Insurance (SAFT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Safety Insurance's Shares Outstanding (Diluted) was 14.75 million, up 0.2% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 14.72 million in FY2024 (unchanged), 14.71 million in FY2023 (unchanged), 14.71 million in FY2022 (-1.4%) and 14.93 million in FY2021 (-1.3%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 14.5 million (Q1 2026) to 15.08 million (Q3 2021).
- Year-over-year, Shares Outstanding (Diluted) increased in four of the last eight quarters, with an average decline of 0.2%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2024 (growth of 1.2%), and the weakest in Q2 2022 (a decline of 2.5%).
- Business Quant data shows SAFT's Shares Outstanding (Diluted) at 14.5 million (Q1 2026), 14.75 million (Q4 2025) and 14.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 391.25 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 584.20 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 482.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 213.60 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.71 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 646.90 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.90 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 258.70 Mn |
| 10 | Safety Insurance | 1.52 Bn | 406.67 Mn | 130.56 Mn | 14.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.56 Mn |
| Mar 31, 2026 | 14.50 Mn |
| Dec 31, 2025 | 14.75 Mn |
| Sep 30, 2025 | 14.78 Mn |
| Jun 30, 2025 | 14.78 Mn |
| Mar 31, 2025 | 14.75 Mn |
| Dec 31, 2024 | 14.72 Mn |
| Sep 30, 2024 | 14.87 Mn |
| Jun 30, 2024 | 14.72 Mn |
| Mar 31, 2024 | 14.70 Mn |
| Dec 31, 2023 | 14.71 Mn |
| Sep 30, 2023 | 14.68 Mn |
| Jun 30, 2023 | 14.72 Mn |
| Mar 31, 2023 | 14.76 Mn |
| Dec 31, 2022 | 14.71 Mn |
| Sep 30, 2022 | 14.71 Mn |
| Jun 30, 2022 | 14.70 Mn |
| Mar 31, 2022 | 14.73 Mn |
| Dec 31, 2021 | 14.93 Mn |
| Sep 30, 2021 | 15.08 Mn |
Safety Insurance 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=SAFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SAFT", "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=SAFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();