Old Republic International (ORI) Return on Sales [ROS] (2009 - 2026)
Old Republic International (ORI) reported Return on Sales [ROS] of -19.26% for Q2 2026, up 5.97 percentage points from -25.23% a year earlier but down 1.67 percentage points from the prior quarter.
Old Republic International (ORI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Old Republic International's Return on Sales [ROS] came in at -21.10%, up 2.69 percentage points year-over-year; for FY2025, it was -23.83%, down 0.08 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -1.36 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -23.75% in FY2024 (-1.71 pp), -22.04% in FY2023 (-5.51 pp), -16.53% in FY2022 (-11.43 pp) and -5.10% in FY2021 (+17.37 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -43.23% in Q3 2022 and a high of 8.11% in Q4 2021.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +2.65 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 17.39 percentage points); the low point was Q2 2022 (a drop of 28.38 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -17.59% (Q1 2026), -27.07% (Q4 2025) and -20.60% (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 | Old Republic International | 9.19 Bn | 9.20 Bn | 1.61 Bn | -19.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.26% |
| Mar 31, 2026 | -17.59% |
| Dec 31, 2025 | -27.07% |
| Sep 30, 2025 | -20.60% |
| Jun 30, 2025 | -25.23% |
| Mar 31, 2025 | -21.97% |
| Dec 31, 2024 | -32.87% |
| Sep 30, 2024 | -16.33% |
| Jun 30, 2024 | -33.02% |
| Mar 31, 2024 | -14.68% |
| Dec 31, 2023 | -24.32% |
| Sep 30, 2023 | -33.72% |
| Jun 30, 2023 | -23.13% |
| Mar 31, 2023 | -19.96% |
| Dec 31, 2022 | 3.65% |
| Sep 30, 2022 | -43.23% |
| Jun 30, 2022 | -38.13% |
| Mar 31, 2022 | -10.05% |
| Dec 31, 2021 | 8.11% |
| Sep 30, 2021 | -25.32% |
Old Republic International 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=ORI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ORI", "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=ORI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();