Stewart Information Services (STC) Property, Plant & Equipment (Net) (2010 - 2026)
Stewart Information Services' Property, Plant & Equipment (Net) was $98.2 million in Q2 2026, up 18.1% from $83.17 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Stewart Information Services (STC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Stewart Information Services came in at $85.33 million, down 2.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $87.61 million in FY2024 (+6.4%), $82.34 million in FY2023 (+1.0%), $81.54 million in FY2022 (+12.5%) and $72.46 million in FY2021 (+40.2%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in five of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2021 (growth of 40.2%); the worst was Q3 2025 (a decline of 6.3%).
- Per Business Quant data, STC's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $91.89 million (Q1 2026), $85.33 million (Q4 2025) and $84.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 411.04 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 922.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 806.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 765.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 761.00 Mn |
| 10 | Stewart Information Services | 1.57 Bn | 352.33 Mn | 877.17 Mn | 98.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.20 Mn |
| Mar 31, 2026 | 91.89 Mn |
| Dec 31, 2025 | 85.33 Mn |
| Sep 30, 2025 | 84.34 Mn |
| Jun 30, 2025 | 83.17 Mn |
| Mar 31, 2025 | 84.64 Mn |
| Dec 31, 2024 | 87.61 Mn |
| Sep 30, 2024 | 90.04 Mn |
| Jun 30, 2024 | 86.73 Mn |
| Mar 31, 2024 | 82.93 Mn |
| Dec 31, 2023 | 82.34 Mn |
| Sep 30, 2023 | 83.43 Mn |
| Jun 30, 2023 | 81.76 Mn |
| Mar 31, 2023 | 80.68 Mn |
| Dec 31, 2022 | 81.54 Mn |
| Sep 30, 2022 | 80.61 Mn |
| Jun 30, 2022 | 73.50 Mn |
| Mar 31, 2022 | 72.38 Mn |
| Dec 31, 2021 | 72.46 Mn |
| Sep 30, 2021 | 60.00 Mn |
API Access
Stewart Information Services Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();