Safety Insurance (SAFT) Operating Expenses (2010 - 2026)
Safety Insurance (SAFT) posted Operating Expenses of $281.93 million for Q2 2026, up 0.9% from $279.52 million a year earlier but down 15.2% from the prior quarter.
Safety Insurance (SAFT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Safety Insurance was $1.2 billion, up 9.8% year-over-year; for FY2025, it came in at $1.14 billion, up 10.4% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In prior years, Safety Insurance's Operating Expenses was $1.03 billion in FY2024 (+13.6%), $906.54 million in FY2023 (+22.8%), $737.98 million in FY2022 (+2.4%) and $720.64 million in FY2021 (+7.3%).
- Quarterly Operating Expenses has run from a low of $173.72 million in Q2 2022 to a high of $332.53 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 16 quarters, with growth averaging 11.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 24.5%; the weakest was Q2 2022, with a decline of 0.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $332.53 million (Q1 2026), $293.92 million (Q4 2025) and $290.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Safety Insurance | 1.52 Bn | 406.53 Mn | 130.56 Mn | 281.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 281.93 Mn |
| Mar 31, 2026 | 332.53 Mn |
| Dec 31, 2025 | 293.92 Mn |
| Sep 30, 2025 | 290.41 Mn |
| Jun 30, 2025 | 279.52 Mn |
| Mar 31, 2025 | 273.20 Mn |
| Dec 31, 2024 | 276.60 Mn |
| Sep 30, 2024 | 262.38 Mn |
| Jun 30, 2024 | 248.55 Mn |
| Mar 31, 2024 | 242.63 Mn |
| Dec 31, 2023 | 242.61 Mn |
| Sep 30, 2023 | 226.88 Mn |
| Jun 30, 2023 | 207.98 Mn |
| Mar 31, 2023 | 229.07 Mn |
| Dec 31, 2022 | 194.80 Mn |
| Sep 30, 2022 | 184.57 Mn |
| Jun 30, 2022 | 173.72 Mn |
| Mar 31, 2022 | 184.89 Mn |
| Dec 31, 2021 | 186.06 Mn |
| Sep 30, 2021 | 182.55 Mn |
Safety Insurance Operating Expenses 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=operating-expenses&ticker=SAFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SAFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();