Stewart Information Services (STC) Gross Margin (2010 - 2026)
Stewart Information Services (STC) reported Gross Margin of 97.55% for Q2 2026, up 0.52 percentage points from 97.03% a year earlier but down 0.09 percentage points from the prior quarter.
Powered by 
Analysis
Stewart Information Services (STC) Gross Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stewart Information Services' Gross Margin came in at 97.46%, up 0.50 percentage points year-over-year; for FY2025, it was 97.20%, up 0.43 percentage points from FY2024.
- Gross Margin has a five-year change of +2.24 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 96.77% in FY2024 (+0.33 pp), 96.44% in FY2023 (-0.21 pp), 96.65% in FY2022 (+0.47 pp) and 96.18% in FY2021 (+1.22 pp).
- Five-year quarterly Gross Margin spans a low of 96.30% in Q3 2023 and a high of 97.64% in Q1 2026.
- Year over year, Gross Margin has now increased in each of the last ten quarters, with an average year-over-year change of +0.46 percentage points over the last eight quarters.
- The high point for year-over-year Gross Margin in five years was Q4 2021 (a gain of 2.84 percentage points); the low point was Q2 2023 (a drop of 0.50 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 97.64% (Q1 2026), 97.09% (Q4 2025) and 97.55% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 54.87% |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 57.69% |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 38.28% |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | - |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 51.27% |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 40.82% |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | - |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 46.97% |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 97.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.55% |
| Mar 31, 2026 | 97.64% |
| Dec 31, 2025 | 97.09% |
| Sep 30, 2025 | 97.55% |
| Jun 30, 2025 | 97.03% |
| Mar 31, 2025 | 97.11% |
| Dec 31, 2024 | 96.90% |
| Sep 30, 2024 | 96.81% |
| Jun 30, 2024 | 96.50% |
| Mar 31, 2024 | 96.86% |
| Dec 31, 2023 | 96.47% |
| Sep 30, 2023 | 96.30% |
| Jun 30, 2023 | 96.39% |
| Mar 31, 2023 | 96.63% |
| Dec 31, 2022 | 96.70% |
| Sep 30, 2022 | 96.45% |
| Jun 30, 2022 | 96.89% |
| Mar 31, 2022 | 96.57% |
| Dec 31, 2021 | 96.51% |
| Sep 30, 2021 | 96.37% |
API Access
Stewart Information Services Gross 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=gross-margin&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();