Stewart Information Services (STC) Total Liabilities (2010 - 2026)
Stewart Information Services (STC) posted Total Liabilities of $1.61 billion for Q3 2026, up 18.3% from $1.36 billion a year earlier but down 0.3% from the prior quarter.
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Analysis
Stewart Information Services (STC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services' Total Liabilities came in at $1.6 billion, up 21.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior years, Stewart Information Services' Total Liabilities was $1.32 billion in FY2024 (-0.4%), $1.32 billion in FY2023 (-3.2%), $1.37 billion in FY2022 (-9.9%) and $1.52 billion in FY2021 (+57.2%).
- Quarterly Total Liabilities has run from a low of $1.27 billion in Q2 2024 to a high of $1.62 billion in Q2 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 11.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 57.2%; the weakest was Q4 2022, with a decline of 9.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.62 billion (Q2 2026), $1.59 billion (Q1 2026) and $1.6 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 205.00 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 93.26 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 113.09 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | 712.18 Bn |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 54.99 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 54.94 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 731.63 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 95.54 Bn |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 Mn | 877.17 Mn | 1.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.61 Bn |
| Jun 30, 2026 | 1.62 Bn |
| Mar 31, 2026 | 1.59 Bn |
| Dec 31, 2025 | 1.60 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.33 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.27 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.32 Bn |
| Sep 30, 2023 | 1.31 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 1.32 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.35 Bn |
| Jun 30, 2022 | 1.40 Bn |
| Mar 31, 2022 | 1.44 Bn |
| Dec 31, 2021 | 1.52 Bn |
API Access
Stewart Information Services Total Liabilities 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=total-liabilities&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();