Stewart Information Services (STC) Enterprise Value (2010 - 2026)
Stewart Information Services (STC) reported Enterprise Value of $1.71 billion for Q2 2026, up 6.7% from $1.6 billion a year earlier and up 9.4% from the prior quarter.
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Analysis
Stewart Information Services (STC) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stewart Information Services' Enterprise Value came in at $790.81 million, down 10.8% year-over-year; for FY2025, it came in at $1.76 billion, up 8.5% from FY2024.
- Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- By year, Enterprise Value came in at $1.63 billion in FY2024 (+21.0%), $1.34 billion in FY2023 (+50.1%), $894.71 million in FY2022 (-45.9%) and $1.65 billion in FY2021 (+95.3%).
- Five-year quarterly Enterprise Value spans a low of $788.11 million in Q3 2022 and a high of $1.83 billion in Q3 2025.
- Year over year, Enterprise Value gained in seven of the last eight quarters, with growth averaging 17.4%.
- The high point for year-over-year Enterprise Value in five years was Q3 2024 (growth of 95.6%); the low point was Q4 2022 (a decline of 45.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.56 billion (Q1 2026), $1.76 billion (Q4 2025) and $1.83 billion (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 | 1.71 Bn |
| Mar 31, 2026 | 1.56 Bn |
| Dec 31, 2025 | 1.76 Bn |
| Sep 30, 2025 | 1.83 Bn |
| Jun 30, 2025 | 1.60 Bn |
| Mar 31, 2025 | 1.81 Bn |
| Dec 31, 2024 | 1.63 Bn |
| Sep 30, 2024 | 1.81 Bn |
| Jun 30, 2024 | 1.51 Bn |
| Mar 31, 2024 | 1.59 Bn |
| Dec 31, 2023 | 1.34 Bn |
| Sep 30, 2023 | 927.19 Mn |
| Jun 30, 2023 | 861.00 Mn |
| Mar 31, 2023 | 850.39 Mn |
| Dec 31, 2022 | 894.71 Mn |
| Sep 30, 2022 | 788.11 Mn |
| Jun 30, 2022 | 858.85 Mn |
| Mar 31, 2022 | 1.23 Bn |
| Dec 31, 2021 | 1.65 Bn |
| Sep 30, 2021 | 1.09 Bn |
API Access
Stewart Information Services Enterprise Value 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=enterprise-value&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();