Stewart Information Services (STC) Acquisitions (2011 - 2026)
Stewart Information Services' Acquisitions was $25.93 million in Q2 2026, compared with $1.1 million a year earlier.
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Analysis
Stewart Information Services (STC) Acquisitions (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stewart Information Services' Acquisitions was $389.33 million through Jun 30, 2026; for FY2025, it came in at $370.01 million.
- Acquisitions shows a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Acquisitions was $14.38 million in FY2024 (-42.7%), $25.1 million in FY2023 (-82.4%), $142.86 million in FY2022 (-76.2%) and $599.98 million in FY2021 (+200.7%).
- Quarterly Acquisitions has moved between $900,000 (Q2 2023) and $450.06 million (Q4 2021) over five years.
- Compared with a year earlier, Acquisitions was higher in two of the last four quarters, with growth averaging 88.9%.
- The best year-over-year quarter for Acquisitions over five years was Q2 2024 (growth of 816.3%); the worst was Q3 2023 (a decline of 96.6%).
- Per Business Quant data, STC's Acquisitions in the three quarters before Q2 2026 was $1.91 million (Q1 2026), $331.46 million (Q4 2025) and $30.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 14.00 Mn |
| 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 | - | 88.00 Mn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 10.00 Mn |
| 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 | 357.00 Mn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 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 Acquisitions 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=acquisitions&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();