Stewart Information Services (STC) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Stewart Information Services' Non-Current Debt was $654.91 million in Q3 2026, up 46.8% from $446.14 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Stewart Information Services (STC) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Stewart Information Services came in at $646.61 million, up 45.0% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 44.7% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $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%).
- The Q3 2026 figure marks the highest quarterly Non-Current Debt in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Debt has increased for 11 straight quarters, with growth averaging 22.8% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q4 2021 (growth of 375.1%); the worst was Q4 2022 (a decline of 7.5%).
- Per Business Quant data, STC's Non-Current Debt in the three quarters before Q3 2026 was $646.74 million (Q2 2026), $646.75 million (Q1 2026) and $646.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 493.00 Mn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | -637.00 Mn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 1.00 Mn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | - |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | - |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 Mn | 877.17 Mn | 8.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.02 Mn |
| Jun 30, 2026 | -214,000.00 |
| Mar 31, 2026 | 61,000.00 |
| Dec 31, 2025 | 200.07 Mn |
| Mar 31, 2025 | -120,000.00 |
| Mar 31, 2024 | 9,000.00 |
| Jun 30, 2023 | -170,000.00 |
| Mar 31, 2023 | -2.07 Mn |
| Dec 31, 2022 | 506,000.00 |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | -1.15 Mn |
| Mar 31, 2022 | -37.68 Mn |
| Dec 31, 2021 | 213.81 Mn |
| Sep 30, 2021 | 149.63 Mn |
| Jun 30, 2021 | 28,000.00 |
| Mar 31, 2021 | 24.07 Mn |
| Dec 31, 2020 | 251,000.00 |
| Sep 30, 2020 | -446,000.00 |
| Jun 30, 2020 | -911,000.00 |
| Mar 31, 2020 | -8.02 Mn |
API Access
Stewart Information Services Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();