Stewart Information Services (STC) Revenue (2010 - 2026)
Stewart Information Services' Revenue came in at $900.7 million for Q3 2026, up 13.0% from $796.92 million a year earlier and up 0.2% from the prior quarter.
Powered by 
Analysis
Stewart Information Services (STC) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Stewart Information Services reported Revenue of $3.37 billion, up 20.6% year-over-year; for FY2025, it came in at $2.92 billion, up 17.3% from FY2024.
- Revenue carries a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Revenue was $2.49 billion in FY2024 (+10.3%), $2.26 billion in FY2023 (-26.5%), $3.07 billion in FY2022 (-7.2%) and $3.31 billion in FY2021 (+44.5%).
- The Q3 2026 figure represents the highest quarterly Revenue since Q4 2021.
- Year-over-year, Revenue has increased for 11 consecutive quarters, with growth averaging 18.5% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q4 2021 (growth of 30.5%), and the weakest in Q1 2023 (a decline of 38.5%).
- Business Quant data shows STC's Revenue at $899.24 million (Q2 2026), $781.31 million (Q1 2026) and $790.56 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 16.20 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 23.19 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 6.86 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 12.41 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 3.98 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 4.10 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 19.15 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 17.35 Bn |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 Mn | 877.17 Mn | 900.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 900.68 Mn |
| Jun 30, 2026 | 899.24 Mn |
| Mar 31, 2026 | 781.31 Mn |
| Dec 31, 2025 | 790.56 Mn |
| Sep 30, 2025 | 796.92 Mn |
| Jun 30, 2025 | 722.18 Mn |
| Mar 31, 2025 | 611.98 Mn |
| Dec 31, 2024 | 665.93 Mn |
| Sep 30, 2024 | 667.94 Mn |
| Jun 30, 2024 | 602.23 Mn |
| Mar 31, 2024 | 554.32 Mn |
| Dec 31, 2023 | 582.17 Mn |
| Sep 30, 2023 | 601.71 Mn |
| Jun 30, 2023 | 549.15 Mn |
| Mar 31, 2023 | 524.31 Mn |
| Dec 31, 2022 | 655.91 Mn |
| Sep 30, 2022 | 717.62 Mn |
| Jun 30, 2022 | 849.24 Mn |
| Mar 31, 2022 | 852.92 Mn |
| Dec 31, 2021 | 961.67 Mn |
API Access
Stewart Information Services Revenue 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=revenue&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();