Stewart Information Services (STC) Long-Term Debt Repayments (2010 - 2026)
Stewart Information Services (STC) posted Long-Term Debt Repayments of $398,000 for Q2 2026, down 84.1% from the prior quarter.
Stewart Information Services (STC) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Stewart Information Services was $3.01 million, up 170.0% year-over-year; for FY2025, it was $1.22 million, down 63.8% from FY2024.
- Annual Long-Term Debt Repayments has declined for four consecutive years, with a five-year compound annual growth rate of -45.6% (FY2020 to FY2025).
- In prior years, Stewart Information Services' Long-Term Debt Repayments was $3.38 million in FY2024 (-41.5%), $5.78 million in FY2023 (-92.4%), $76.49 million in FY2022 (-90.6%) and $809.82 million in FY2021.
- Quarterly Long-Term Debt Repayments has run from a low of $109,000 in Q4 2025 to a high of $651.79 million in Q4 2021 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2022, with growth of 144.7%; the weakest was Q4 2022, with a decline of 99.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | - |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | - |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | - |
| 10 | Stewart Information Services | 1.60 Bn | 366.67 Mn | 877.17 Mn | 398,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 398,000.00 |
| Mar 31, 2026 | 2.50 Mn |
| Dec 31, 2025 | 109,000.00 |
| Mar 31, 2025 | 1.12 Mn |
| Mar 31, 2024 | 3.38 Mn |
| Jun 30, 2023 | 187,000.00 |
| Mar 31, 2023 | 5.59 Mn |
| Dec 31, 2022 | 981,000.00 |
| Sep 30, 2022 | 30.95 Mn |
| Jun 30, 2022 | 6.73 Mn |
| Mar 31, 2022 | 37.82 Mn |
| Dec 31, 2021 | 651.79 Mn |
| Sep 30, 2021 | 369,000.00 |
| Jun 30, 2021 | 2.75 Mn |
| Mar 31, 2021 | 154.91 Mn |
| Dec 31, 2020 | 13.84 Mn |
| Sep 30, 2020 | 2.40 Mn |
| Jun 30, 2020 | 1.11 Mn |
| Mar 31, 2020 | 8.22 Mn |
| Dec 31, 2019 | 1.69 Mn |
Stewart Information Services Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();