United Fire (UFCS) Return on Sales [ROS] (2009 - 2026)
United Fire (UFCS) posted Return on Sales [ROS] of -44.39% for Q2 2026, up 4.66 percentage points from -49.04% a year earlier and up 1.66 percentage points from the prior quarter.
United Fire (UFCS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at United Fire was -42.40%, up 5.34 percentage points year-over-year; for FY2025, it came in at -44.46%, up 8.80 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +52.76 percentage points (FY2020 to FY2025).
- In prior years, United Fire's Return on Sales [ROS] was -53.26% in FY2024 (+20.60 pp), -73.86% in FY2023 (-10.08 pp), -63.78% in FY2022 (-11.70 pp) and -52.08% in FY2021 (+45.14 pp).
- Quarterly Return on Sales [ROS] has run from a low of -120.92% in Q2 2023 to a high of -16.84% in Q4 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 12 quarters, with an average year-over-year change of +8.14 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 65.77 percentage points; the weakest was Q2 2023, with a drop of 54.39 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -46.05% (Q1 2026), -39.53% (Q4 2025) and -39.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 7.83% |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | United Fire | 1.32 Bn | 716.24 Mn | 175.27 Mn | 12.26% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.26% |
| Jun 30, 2026 | 11.76% |
| Mar 31, 2026 | 11.15% |
| Dec 31, 2025 | 14.05% |
| Sep 30, 2025 | 14.63% |
| Jun 30, 2025 | 9.45% |
| Mar 31, 2025 | 7.35% |
| Dec 31, 2024 | 12.61% |
| Sep 30, 2024 | 8.50% |
| Jun 30, 2024 | -0.77% |
| Mar 31, 2024 | 5.79% |
| Dec 31, 2023 | 8.70% |
| Sep 30, 2023 | 3.35% |
| Jun 30, 2023 | -26.74% |
| Mar 31, 2023 | 0.30% |
| Dec 31, 2022 | -55.68% |
| Sep 30, 2022 | -88.54% |
| Jun 30, 2022 | -66.52% |
| Mar 31, 2022 | 14.50% |
| Dec 31, 2021 | 26.82% |
United Fire 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=UFCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "UFCS", "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=UFCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();