Safety Insurance (SAFT) Cost of Revenue (2010 - 2026)
Safety Insurance's Cost of Revenue came in at $195.12 million for Q2 2026, up 0.5% from $194.23 million a year earlier but down 21.2% from the prior quarter.
Safety Insurance (SAFT) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Safety Insurance reported Cost of Revenue of $855.27 million, up 12.5% year-over-year; for FY2025, it was $797.18 million, up 11.2% from FY2024.
- Cost of Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $716.64 million in FY2024 (+11.6%), $642.3 million in FY2023 (+30.6%), $491.98 million in FY2022 (+6.6%) and $461.73 million in FY2021 (+14.1%).
- The five-year range for quarterly Cost of Revenue is $112.72 million (Q2 2022) to $247.49 million (Q1 2026).
- Year-over-year, Cost of Revenue has increased for 21 consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 0.5% in Q2 2026 to 35.7% in Q1 2023.
- Business Quant data shows SAFT's Cost of Revenue at $247.49 million (Q1 2026), $207.68 million (Q4 2025) and $204.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 45.95 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 6.69 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 14.57 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 5.92 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 11.34 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | Safety Insurance | 1.53 Bn | 411.66 Mn | 130.56 Mn | 195.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.12 Mn |
| Mar 31, 2026 | 247.49 Mn |
| Dec 31, 2025 | 207.68 Mn |
| Sep 30, 2025 | 204.98 Mn |
| Jun 30, 2025 | 194.23 Mn |
| Mar 31, 2025 | 190.29 Mn |
| Dec 31, 2024 | 193.01 Mn |
| Sep 30, 2024 | 182.49 Mn |
| Jun 30, 2024 | 172.74 Mn |
| Mar 31, 2024 | 168.40 Mn |
| Dec 31, 2023 | 172.11 Mn |
| Sep 30, 2023 | 159.52 Mn |
| Jun 30, 2023 | 143.52 Mn |
| Mar 31, 2023 | 167.15 Mn |
| Dec 31, 2022 | 132.03 Mn |
| Sep 30, 2022 | 124.07 Mn |
| Jun 30, 2022 | 112.72 Mn |
| Mar 31, 2022 | 123.17 Mn |
| Dec 31, 2021 | 120.94 Mn |
| Sep 30, 2021 | 119.13 Mn |
Safety Insurance Cost of Revenue 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=cost-of-revenue&ticker=SAFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SAFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();