Stewart Information Services (STC) Tax Provisions (2010 - 2026)
Stewart Information Services (STC) reported Tax Provisions of $13.35 million for Q2 2026, up 19.8% from $11.14 million a year earlier and up 192.9% from the prior quarter.
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Analysis
Stewart Information Services (STC) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stewart Information Services' Tax Provisions came in at $41.69 million, up 44.2% year-over-year; for FY2025, it was $35.41 million, up 35.4% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- By year, Tax Provisions came in at $26.16 million in FY2024 (+71.4%), $15.26 million in FY2023 (-70.0%), $50.86 million in FY2022 (-45.9%) and $93.99 million in FY2021 (+92.5%).
- The Q2 2026 figure ranks as the highest quarterly Tax Provisions since Q2 2022.
- Year over year, Tax Provisions has now increased in each of the last five quarters, with growth averaging 121.4% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q1 2026 (growth of 841.3%); the low point was Q4 2022 (a decline of 89.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.56 million (Q1 2026), $10.81 million (Q4 2025) and $12.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 6.29 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 742.00 Mn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 898.00 Mn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 411.00 Mn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 559.00 Mn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -328.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 90.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 871.00 Mn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 13.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.35 Mn |
| Mar 31, 2026 | 4.56 Mn |
| Dec 31, 2025 | 10.81 Mn |
| Sep 30, 2025 | 12.98 Mn |
| Jun 30, 2025 | 11.14 Mn |
| Mar 31, 2025 | 484,000.00 |
| Dec 31, 2024 | 8.16 Mn |
| Sep 30, 2024 | 9.12 Mn |
| Jun 30, 2024 | 7.94 Mn |
| Mar 31, 2024 | 936,000.00 |
| Dec 31, 2023 | 5.68 Mn |
| Sep 30, 2023 | 9.13 Mn |
| Jun 30, 2023 | 5.39 Mn |
| Mar 31, 2023 | -4.94 Mn |
| Dec 31, 2022 | 2.49 Mn |
| Sep 30, 2022 | 10.78 Mn |
| Jun 30, 2022 | 19.89 Mn |
| Mar 31, 2022 | 17.70 Mn |
| Dec 31, 2021 | 23.44 Mn |
| Sep 30, 2021 | 23.05 Mn |
API Access
Stewart Information Services Tax Provisions 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=tax-provisions&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();