Safety Insurance (SAFT) Cash from Operations (2010 - 2026)
Safety Insurance (SAFT) posted Cash from Operations of $38.33 million for Q2 2026, up 18.6% from $32.32 million a year earlier.
Safety Insurance (SAFT) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Safety Insurance was $180.3 million, up 12.9% year-over-year; for FY2025, it was $194.5 million, up 51.1% from FY2024.
- Annual Cash from Operations has increased for three consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Safety Insurance's Cash from Operations was $128.69 million in FY2024 (+146.9%), $52.11 million in FY2023 (+17.6%), $44.33 million in FY2022 (-68.7%) and $141.39 million in FY2021 (+29.2%).
- Quarterly Cash from Operations has run from a low of -$21.14 million in Q1 2024 to a high of $85.45 million in Q3 2025 over five years.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q3 2024, with growth of 142.0%; the weakest was Q2 2022, with a decline of 70.0%.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$17.03 million (Q1 2026), $73.55 million (Q4 2025) and $85.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 11.22 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 3.73 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 3.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 1.52 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 1.92 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 3.00 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 2.23 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 556.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 10.00 Mn |
| 10 | Safety Insurance | 1.52 Bn | 407.41 Mn | 130.56 Mn | 38.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.33 Mn |
| Mar 31, 2026 | -17.03 Mn |
| Dec 31, 2025 | 73.55 Mn |
| Sep 30, 2025 | 85.45 Mn |
| Jun 30, 2025 | 32.32 Mn |
| Mar 31, 2025 | 3.17 Mn |
| Dec 31, 2024 | 50.42 Mn |
| Sep 30, 2024 | 73.82 Mn |
| Jun 30, 2024 | 25.59 Mn |
| Mar 31, 2024 | -21.14 Mn |
| Dec 31, 2023 | 35.05 Mn |
| Sep 30, 2023 | 30.50 Mn |
| Jun 30, 2023 | -546,000.00 |
| Mar 31, 2023 | -12.89 Mn |
| Dec 31, 2022 | 20.96 Mn |
| Sep 30, 2022 | 23.64 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | -15.28 Mn |
| Dec 31, 2021 | 30.81 Mn |
| Sep 30, 2021 | 47.99 Mn |
Safety Insurance Cash from Operations 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=cash-from-operations&ticker=SAFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SAFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();