Stewart Information Services (STC) Net of Acquisitions & Divestments (2011 - 2026)
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Analysis
Stewart Information Services (STC) Net of Acquisitions & Divestments (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn | -14.00 Mn |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn | - |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - | -130.00 Mn |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - | - |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - | -325.00 Mn |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - | -6.00 Mn |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn | -357.00 Mn |
| 10 | Stewart Information Services | 1.34 Bn | 121.52 Mn | 877.17 Mn | -25.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.93 Mn |
| Mar 31, 2026 | -1.91 Mn |
| Dec 31, 2025 | -331.46 Mn |
| Sep 30, 2025 | -30.03 Mn |
| Jun 30, 2025 | -1.10 Mn |
| Mar 31, 2025 | -7.42 Mn |
| Sep 30, 2024 | -6.14 Mn |
| Jun 30, 2024 | -8.25 Mn |
| Sep 30, 2023 | -2.70 Mn |
| Jun 30, 2023 | -900,000.00 |
| Mar 31, 2023 | -21.50 Mn |
| Dec 31, 2022 | -40.00 Mn |
| Sep 30, 2022 | -79.55 Mn |
| Jun 30, 2022 | -5.41 Mn |
| Mar 31, 2022 | -17.90 Mn |
| Dec 31, 2021 | -450.06 Mn |
| Sep 30, 2021 | -18.02 Mn |
| Jun 30, 2021 | -79.33 Mn |
| Mar 31, 2021 | -52.58 Mn |
| Dec 31, 2020 | -53.02 Mn |
API Access
Stewart Information Services Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();