Stewart Information Services (STC) Return on Sales [ROS] (2010 - 2026)
Stewart Information Services' Return on Sales [ROS] was 3.67% in Q2 2026, up 0.17 percentage points from 3.51% a year earlier and up 3.01 percentage points from the prior quarter.
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Analysis
Stewart Information Services (STC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stewart Information Services' Return on Sales [ROS] was 3.32% through Jun 30, 2026, up 1.46 percentage points year-over-year; for FY2025, it was 2.87%, up 1.51 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1.64 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 1.36% in FY2024 (+2.22 pp), -0.86% in FY2023 (-5.09 pp), 4.23% in FY2022 (-5.08 pp) and 9.31% in FY2021 (+4.80 pp).
- Quarterly Return on Sales [ROS] has moved between -5.31% (Q1 2023) and 10.29% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +1.65 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 3.46 percentage points); the worst was Q1 2023 (a drop of 11.22 percentage points).
- Per Business Quant data, STC's Return on Sales [ROS] in the three quarters before Q2 2026 was 0.66% (Q1 2026), 3.64% (Q4 2025) and 5.22% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 11.89% |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 14.54% |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | -30.76% |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 3.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.67% |
| Mar 31, 2026 | 0.66% |
| Dec 31, 2025 | 3.64% |
| Sep 30, 2025 | 5.22% |
| Jun 30, 2025 | 3.51% |
| Mar 31, 2025 | -1.93% |
| Dec 31, 2024 | 2.21% |
| Sep 30, 2024 | 3.22% |
| Jun 30, 2024 | 1.31% |
| Mar 31, 2024 | -1.85% |
| Dec 31, 2023 | -0.31% |
| Sep 30, 2023 | 0.80% |
| Jun 30, 2023 | 0.98% |
| Mar 31, 2023 | -5.31% |
| Dec 31, 2022 | -0.13% |
| Sep 30, 2022 | 2.96% |
| Jun 30, 2022 | 7.72% |
| Mar 31, 2022 | 5.91% |
| Dec 31, 2021 | 8.37% |
| Sep 30, 2021 | 10.29% |
API Access
Stewart Information Services 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=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STC", "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=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();