Safety Insurance (SAFT) Cash & Equivalents (2010 - 2026)
Safety Insurance's Cash & Equivalents was $67.92 million in Q2 2026, up 37.5% from $49.41 million a year earlier and up 23.9% from the prior quarter.
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Analysis
Safety Insurance (SAFT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Safety Insurance came in at $73.9 million, up 25.3% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $58.97 million in FY2024 (+54.6%), $38.15 million in FY2023 (+50.8%), $25.3 million in FY2022 (-60.2%) and $63.6 million in FY2021 (+18.3%).
- Quarterly Cash & Equivalents has moved between $15.32 million (Q1 2023) and $73.9 million (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 39.4%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2025 (growth of 110.1%); the worst was Q4 2022 (a decline of 60.2%).
- Per Business Quant data, SAFT's Cash & Equivalents in the three quarters before Q2 2026 was $54.83 million (Q1 2026), $73.9 million (Q4 2025) and $56.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 1.06 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 1.39 Bn |
| 10 | Safety Insurance | 1.52 Bn | 406.67 Mn | 130.56 Mn | 67.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.92 Mn |
| Mar 31, 2026 | 54.83 Mn |
| Dec 31, 2025 | 73.90 Mn |
| Sep 30, 2025 | 56.23 Mn |
| Jun 30, 2025 | 49.41 Mn |
| Mar 31, 2025 | 64.71 Mn |
| Dec 31, 2024 | 58.97 Mn |
| Sep 30, 2024 | 62.60 Mn |
| Jun 30, 2024 | 44.58 Mn |
| Mar 31, 2024 | 30.80 Mn |
| Dec 31, 2023 | 38.15 Mn |
| Sep 30, 2023 | 30.89 Mn |
| Jun 30, 2023 | 25.39 Mn |
| Mar 31, 2023 | 15.32 Mn |
| Dec 31, 2022 | 25.30 Mn |
| Sep 30, 2022 | 33.64 Mn |
| Jun 30, 2022 | 39.08 Mn |
| Mar 31, 2022 | 35.23 Mn |
| Dec 31, 2021 | 63.60 Mn |
| Sep 30, 2021 | 44.70 Mn |
API Access
Safety Insurance Cash & Equivalents 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-and-equivalents&ticker=SAFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=SAFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();