Safety Insurance (SAFT) Retained Earnings (2010 - 2026)
Safety Insurance's Retained Earnings came in at $837.3 million for Q2 2026, up 1.8% from $822.84 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Safety Insurance (SAFT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Safety Insurance's Retained Earnings was $844.06 million, up 5.7% from FY2024.
- Retained Earnings carries a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $798.76 million in FY2024 (+2.2%), $781.19 million in FY2023 (-4.2%), $815.31 million in FY2022 (-0.8%) and $821.74 million in FY2021 (+10.3%).
- The five-year range for quarterly Retained Earnings is $781.19 million (Q4 2023) to $844.06 million (Q4 2025).
- Year-over-year, Retained Earnings has increased for eight consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q3 2021 (growth of 13.9%), and the weakest in Q4 2023 (a decline of 4.2%).
- Business Quant data shows SAFT's Retained Earnings at $816.27 million (Q1 2026), $844.06 million (Q4 2025) and $837.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 798.96 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 71.68 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 32.26 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 29.30 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 58.35 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 6.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 67.50 Bn |
| 10 | Safety Insurance | 1.52 Bn | 406.53 Mn | 130.56 Mn | 837.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 837.30 Mn |
| Mar 31, 2026 | 816.27 Mn |
| Dec 31, 2025 | 844.06 Mn |
| Sep 30, 2025 | 837.51 Mn |
| Jun 30, 2025 | 822.84 Mn |
| Mar 31, 2025 | 807.29 Mn |
| Dec 31, 2024 | 798.76 Mn |
| Sep 30, 2024 | 803.89 Mn |
| Jun 30, 2024 | 791.32 Mn |
| Mar 31, 2024 | 787.99 Mn |
| Dec 31, 2023 | 781.19 Mn |
| Sep 30, 2023 | 782.17 Mn |
| Jun 30, 2023 | 793.44 Mn |
| Mar 31, 2023 | 789.73 Mn |
| Dec 31, 2022 | 815.31 Mn |
| Sep 30, 2022 | 803.89 Mn |
| Jun 30, 2022 | 810.96 Mn |
| Mar 31, 2022 | 816.34 Mn |
| Dec 31, 2021 | 821.74 Mn |
| Sep 30, 2021 | 803.25 Mn |
API Access
Safety Insurance Retained Earnings 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=retained-earnings&ticker=SAFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SAFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();