Stewart Information Services (STC) Other Operating Expenses (2010 - 2026)
Stewart Information Services (STC) recorded Other Operating Expenses of $241.05 million in Q2 2026, up 38.9% from $173.53 million a year earlier and up 10.8% from the prior quarter.
Powered by 
Analysis
Stewart Information Services (STC) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' Other Operating Expenses came in at $838.75 million as of Jun 30, 2026, up 29.2% year-over-year; for FY2025, it was $714.63 million, up 18.3% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $603.96 million in FY2024 (+19.0%), $507.7 million in FY2023 (-21.7%), $648.02 million in FY2022 (+3.4%) and $626.76 million in FY2021 (+67.1%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Other Operating Expenses has increased for ten consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 62.0% in Q4 2021, against a decline of 36.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $217.52 million (Q1 2026), $195.02 million (Q4 2025) and $185.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn |
| 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 | - |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn |
| 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 |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.05 Mn |
| Mar 31, 2026 | 217.52 Mn |
| Dec 31, 2025 | 195.02 Mn |
| Sep 30, 2025 | 185.17 Mn |
| Jun 30, 2025 | 173.53 Mn |
| Mar 31, 2025 | 160.91 Mn |
| Dec 31, 2024 | 159.07 Mn |
| Sep 30, 2024 | 155.65 Mn |
| Jun 30, 2024 | 152.29 Mn |
| Mar 31, 2024 | 136.95 Mn |
| Dec 31, 2023 | 127.17 Mn |
| Sep 30, 2023 | 130.46 Mn |
| Jun 30, 2023 | 129.33 Mn |
| Mar 31, 2023 | 120.74 Mn |
| Dec 31, 2022 | 145.06 Mn |
| Sep 30, 2022 | 151.21 Mn |
| Jun 30, 2022 | 162.01 Mn |
| Mar 31, 2022 | 189.75 Mn |
| Dec 31, 2021 | 210.90 Mn |
| Sep 30, 2021 | 152.59 Mn |
API Access
Stewart Information Services Other Operating Expenses 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-operating-expenses&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();