Stewart Information Services (STC) Operating Margin (2010 - 2026)
Stewart Information Services (STC) recorded Operating Margin of 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) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' Operating Margin came in at 6.65% as of Jun 30, 2026, up 0.99 percentage points year-over-year; for FY2025, it came in at 6.37%, up 0.98 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -3.30 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 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 Operating Margin has ranged from -1.01% in Q1 2023 to 14.00% in Q3 2021 over the past five years.
- On a year-over-year basis, Operating Margin rose in six of the last eight quarters, with an average year-over-year change of +1.16 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 3.21 percentage points in Q1 2024, against a drop of 10.86 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 22.27% |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 14.33% |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 17.70% |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 20.04% |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | - |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 19.73% |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 21.42% |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 15.64% |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 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 Operating Margin 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=operating-margin&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();