Selective Insurance (SIGI) Return on Sales [ROS] (2009 - 2026)
Selective Insurance (SIGI) recorded Return on Sales [ROS] of -47.11% in Q2 2026, up 6.78 percentage points from -53.89% a year earlier and up 3.76 percentage points from the prior quarter.
Selective Insurance (SIGI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Selective Insurance's Return on Sales [ROS] came in at -47.35% as of Jun 30, 2026, up 3.93 percentage points year-over-year; for FY2025, it was -48.12%, up 11.66 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -59.54 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -59.78% in FY2024 (-11.91 pp), -47.87% in FY2023 (+3.61 pp), -51.48% in FY2022 (-67.29 pp) and 15.82% in FY2021 (+4.39 pp).
- Quarterly Return on Sales [ROS] has ranged from -84.08% in Q2 2024 to 12.19% in Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last six quarters, with an average year-over-year change of +8.37 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 30.19 percentage points in Q2 2025, against a drop of 91.91 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -50.87% (Q1 2026), -41.94% (Q4 2025) and -49.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Selective Insurance | 5.10 Bn | 3.00 Bn | 570.77 Mn | -47.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.11% |
| Mar 31, 2026 | -50.87% |
| Dec 31, 2025 | -41.94% |
| Sep 30, 2025 | -49.50% |
| Jun 30, 2025 | -53.89% |
| Mar 31, 2025 | -47.26% |
| Dec 31, 2024 | -51.73% |
| Sep 30, 2024 | -52.17% |
| Jun 30, 2024 | -84.08% |
| Mar 31, 2024 | -51.65% |
| Sep 30, 2023 | -49.34% |
| Jun 30, 2023 | 7.82% |
| Mar 31, 2023 | 12.19% |
| Sep 30, 2022 | 6.68% |
| Jun 30, 2022 | 6.61% |
| Mar 31, 2022 | 9.11% |
| Sep 30, 2021 | 11.55% |
| Jun 30, 2021 | 19.10% |
| Mar 31, 2021 | 17.79% |
| Dec 31, 2020 | 20.86% |
Selective Insurance Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SIGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();