Stewart Information Services (STC) Other Non-Current Assets (2010 - 2026)
Stewart Information Services' Other Non-Current Assets came in at $237.17 million for Q2 2026, up 36.4% from $173.89 million a year earlier and up 7.7% from the prior quarter.
Stewart Information Services (STC) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services' Other Non-Current Assets was $209.11 million, up 59.0% from FY2024.
- Other Non-Current Assets has increased in each of the last six years, with a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $131.48 million in FY2024 (+62.8%), $80.74 million in FY2023 (+7.0%), $75.43 million in FY2022 (+17.7%) and $64.11 million in FY2021 (+52.5%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Assets in data going back to Q4 2010.
- Year-over-year, Other Non-Current Assets has increased for 11 consecutive quarters, with growth averaging 43.0% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q3 2022 (growth of 200.7%), and the weakest in Q3 2023 (a decline of 38.7%).
- Business Quant data shows STC's Other Non-Current Assets at $220.22 million (Q1 2026), $209.11 million (Q4 2025) and $183.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 52.98 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 9.42 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 1.74 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.83 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 4.59 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 79.78 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 11.06 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 815.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 1.73 Bn |
| 10 | Stewart Information Services | 1.51 Bn | 292.96 Mn | 877.17 Mn | 237.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237.17 Mn |
| Mar 31, 2026 | 220.22 Mn |
| Dec 31, 2025 | 209.11 Mn |
| Sep 30, 2025 | 183.90 Mn |
| Jun 30, 2025 | 173.89 Mn |
| Mar 31, 2025 | 159.49 Mn |
| Dec 31, 2024 | 131.48 Mn |
| Sep 30, 2024 | 128.72 Mn |
| Jun 30, 2024 | 128.34 Mn |
| Mar 31, 2024 | 122.69 Mn |
| Dec 31, 2023 | 80.74 Mn |
| Sep 30, 2023 | 92.52 Mn |
| Jun 30, 2023 | 82.86 Mn |
| Mar 31, 2023 | 83.27 Mn |
| Dec 31, 2022 | 75.43 Mn |
| Sep 30, 2022 | 150.86 Mn |
| Jun 30, 2022 | 78.02 Mn |
| Mar 31, 2022 | 76.76 Mn |
| Dec 31, 2021 | 64.11 Mn |
| Sep 30, 2021 | 50.17 Mn |
Stewart Information Services Other Non-Current Assets 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=other-non-current-assets&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();