Stewart Information Services (STC) Long-Term Investments (2010 - 2026)
Stewart Information Services (STC) posted Long-Term Investments of $54.44 million for Q2 2026, down 35.7% from $84.7 million a year earlier but up 6.1% from the prior quarter.
Stewart Information Services (STC) Long-Term Investments (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services' Long-Term Investments came in at $47.68 million, down 42.2% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of -24.0% (FY2020 to FY2025).
- In prior years, Stewart Information Services' Long-Term Investments was $82.48 million in FY2024 (+18.3%), $69.7 million in FY2023 (-29.0%), $98.15 million in FY2022 (+9.7%) and $89.44 million in FY2021 (-52.4%).
- Quarterly Long-Term Investments has run from a low of $4.53 million in Q1 2022 to a high of $98.15 million in Q4 2022 over five years.
- On a year-over-year basis, Long-Term Investments has declined in each of the last three quarters, with an average decline of 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q2 2022, with growth of 324.8%; the weakest was Q1 2022, with a decline of 78.0%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $51.32 million (Q1 2026), $47.68 million (Q4 2025) and $88.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 20.65 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 172.51 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 99.20 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 100.59 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 41.64 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | - |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 87.38 Bn |
| 10 | Stewart Information Services | 1.37 Bn | 175.90 Mn | 877.17 Mn | 55.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.24 Mn |
| Jun 30, 2026 | 54.44 Mn |
| Mar 31, 2026 | 51.32 Mn |
| Dec 31, 2025 | 47.68 Mn |
| Sep 30, 2025 | 88.80 Mn |
| Jun 30, 2025 | 84.70 Mn |
| Mar 31, 2025 | 82.15 Mn |
| Dec 31, 2024 | 82.48 Mn |
| Sep 30, 2024 | 81.12 Mn |
| Jun 30, 2024 | 76.35 Mn |
| Mar 31, 2024 | 76.89 Mn |
| Dec 31, 2023 | 69.70 Mn |
| Sep 30, 2023 | 75.33 Mn |
| Jun 30, 2023 | 78.23 Mn |
| Mar 31, 2023 | 81.44 Mn |
| Dec 31, 2022 | 98.15 Mn |
| Sep 30, 2022 | 87.17 Mn |
| Jun 30, 2022 | 93.67 Mn |
| Mar 31, 2022 | 4.53 Mn |
| Dec 31, 2021 | 89.44 Mn |
Stewart Information Services Long-Term Investments 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=long-term-investments&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();