Stewart Information Services (STC) Return on Sales [ROS] (2010 - 2026)
Stewart Information Services' Return on Sales [ROS] was 6.95% in Q2 2026, down 0.21 percentage points from 7.16% a year earlier but up 2.95 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 6.65% through Jun 30, 2026, up 0.99 percentage points year-over-year; for FY2025, it was 6.37%, up 0.98 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -3.30 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 5.39% in FY2024 (+1.82 pp), 3.57% in FY2023 (-4.61 pp), 8.18% in FY2022 (-5.10 pp) and 13.28% in FY2021 (+3.62 pp).
- Quarterly Return on Sales [ROS] has moved between -1.01% (Q1 2023) and 14.00% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +1.16 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 3.21 percentage points); the worst was Q1 2023 (a drop of 10.86 percentage points).
- Per Business Quant data, STC's Return on Sales [ROS] in the three quarters before Q2 2026 was 4.00% (Q1 2026), 7.26% (Q4 2025) and 8.29% (Q3 2025).
Peer Set
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 | Stewart Information Services | 1.37 Bn | 175.90 Mn | 877.17 Mn | 5.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.90% |
| Jun 30, 2026 | 6.95% |
| Mar 31, 2026 | 4.00% |
| Dec 31, 2025 | 7.26% |
| Sep 30, 2025 | 8.29% |
| Jun 30, 2025 | 7.16% |
| Mar 31, 2025 | 1.77% |
| Dec 31, 2024 | 6.08% |
| Sep 30, 2024 | 7.14% |
| Jun 30, 2024 | 5.62% |
| Mar 31, 2024 | 2.20% |
| Dec 31, 2023 | 4.08% |
| Sep 30, 2023 | 5.34% |
| Jun 30, 2023 | 5.47% |
| Mar 31, 2023 | -1.01% |
| Dec 31, 2022 | 3.92% |
| Sep 30, 2022 | 7.15% |
| Jun 30, 2022 | 7.72% |
| Mar 31, 2022 | 9.85% |
| Dec 31, 2021 | 12.18% |
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();