Stewart Information Services (STC) Buildings (2010 - 2026)
Stewart Information Services' Buildings was $16.42 million in Q2 2026, up 1.6% from $16.16 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Stewart Information Services (STC) Buildings (2010 - 2026) Analysis & Trends
At the end of FY2025, Buildings at Stewart Information Services came in at $16.23 million, down 18.2% from FY2024.
- Buildings shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In earlier years, Buildings was $19.84 million in FY2024 (+3.2%), $19.22 million in FY2023 (+2.4%), $18.76 million in FY2022 (-2.8%) and $19.3 million in FY2021 (-14.6%).
- The Q2 2026 figure marks the highest quarterly Buildings since Q1 2025.
- Compared with a year earlier, Buildings was higher in three of the last eight quarters, with an average decline of 7.5%.
- The best year-over-year quarter for Buildings over five years was Q2 2022 (growth of 12.3%); the worst was Q3 2021 (a decline of 23.7%).
- Per Business Quant data, STC's Buildings in the three quarters before Q2 2026 was $16.3 million (Q1 2026), $16.23 million (Q4 2025) and $16.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.42 Mn |
| Mar 31, 2026 | 16.30 Mn |
| Dec 31, 2025 | 16.23 Mn |
| Sep 30, 2025 | 16.16 Mn |
| Jun 30, 2025 | 16.16 Mn |
| Mar 31, 2025 | 17.67 Mn |
| Dec 31, 2024 | 19.84 Mn |
| Sep 30, 2024 | 19.93 Mn |
| Jun 30, 2024 | 19.27 Mn |
| Mar 31, 2024 | 19.24 Mn |
| Dec 31, 2023 | 19.22 Mn |
| Sep 30, 2023 | 19.05 Mn |
| Jun 30, 2023 | 19.09 Mn |
| Mar 31, 2023 | 19.04 Mn |
| Dec 31, 2022 | 18.76 Mn |
| Sep 30, 2022 | 18.55 Mn |
| Jun 30, 2022 | 18.69 Mn |
| Mar 31, 2022 | 19.28 Mn |
| Dec 31, 2021 | 19.30 Mn |
| Sep 30, 2021 | 17.11 Mn |
API Access
Stewart Information Services Buildings 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=buildings&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();