Stewart Information Services (STC) Total Debt (2010 - 2026)
Stewart Information Services (STC) reported Total Debt of $646.74 million for Q2 2026, up 45.0% from $446 million a year earlier and unchanged from the prior quarter.
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Analysis
Stewart Information Services (STC) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services posted Total Debt of $646.61 million, up 45.0% from FY2024.
- Total Debt has a five-year compound annual growth rate of 44.7% (FY2020 to FY2025).
- By year, Total Debt came in at $445.84 million in FY2024 (+0.1%), $445.29 million in FY2023 (-0.4%), $447.01 million in FY2022 (-7.5%) and $483.49 million in FY2021 (+375.1%).
- Five-year quarterly Total Debt spans a low of $275.28 million in Q3 2021 and a high of $646.75 million in Q1 2026.
- Year over year, Total Debt has now increased in each of the last ten quarters, with growth averaging 17.0% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was Q4 2021 (growth of 375.1%); the low point was Q4 2022 (a decline of 7.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $646.75 million (Q1 2026), $646.61 million (Q4 2025) and $446.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 19.09 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 8.39 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 20.53 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 9.81 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | 5.61 Bn |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 12.74 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 28.04 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 5.89 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 7.49 Bn |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 Mn | 877.17 Mn | 654.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 654.91 Mn |
| Jun 30, 2026 | 646.74 Mn |
| Mar 31, 2026 | 646.75 Mn |
| Dec 31, 2025 | 646.61 Mn |
| Sep 30, 2025 | 446.14 Mn |
| Jun 30, 2025 | 446.00 Mn |
| Mar 31, 2025 | 445.86 Mn |
| Dec 31, 2024 | 445.84 Mn |
| Sep 30, 2024 | 445.70 Mn |
| Jun 30, 2024 | 445.57 Mn |
| Mar 31, 2024 | 445.43 Mn |
| Dec 31, 2023 | 445.29 Mn |
| Sep 30, 2023 | 445.16 Mn |
| Jun 30, 2023 | 445.03 Mn |
| Mar 31, 2023 | 445.07 Mn |
| Dec 31, 2022 | 447.01 Mn |
| Sep 30, 2022 | 446.37 Mn |
| Jun 30, 2022 | 444.91 Mn |
| Mar 31, 2022 | 445.94 Mn |
| Dec 31, 2021 | 483.49 Mn |
API Access
Stewart Information Services Total Debt 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-debt&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();