Selective Insurance (SIGI) Total Non-Current Liabilities (2009 - 2026)
Selective Insurance's Total Non-Current Liabilities was $11.47 billion in Q2 2026, up 7.8% from $10.64 billion a year earlier and up 2.1% from the prior quarter.
Selective Insurance (SIGI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Selective Insurance came in at $11.03 billion, up 11.9% from FY2024.
- Total Non-Current Liabilities has now increased for 12 consecutive years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.86 billion in FY2024 (+18.7%), $8.3 billion in FY2023 (+7.0%), $7.76 billion in FY2022 (+10.4%) and $7.02 billion in FY2021 (+6.7%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 13.9% over the last seven quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 5.8% in Q2 2022 to 21.0% in Q1 2025.
- Per Business Quant data, SIGI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $11.23 billion (Q1 2026), $11.03 billion (Q4 2025) and $10.95 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 729.04 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 42.27 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 55.80 Bn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 11.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.47 Bn |
| Mar 31, 2026 | 11.23 Bn |
| Dec 31, 2025 | 11.03 Bn |
| Sep 30, 2025 | 10.95 Bn |
| Jun 30, 2025 | 10.64 Bn |
| Mar 31, 2025 | 10.37 Bn |
| Dec 31, 2024 | 9.86 Bn |
| Sep 30, 2024 | 9.73 Bn |
| Jun 30, 2024 | 9.10 Bn |
| Mar 31, 2024 | 8.57 Bn |
| Dec 31, 2023 | 8.30 Bn |
| Sep 30, 2023 | 8.26 Bn |
| Jun 30, 2023 | 8.03 Bn |
| Mar 31, 2023 | 7.81 Bn |
| Dec 31, 2022 | 7.76 Bn |
| Sep 30, 2022 | 7.60 Bn |
| Jun 30, 2022 | 7.30 Bn |
| Mar 31, 2022 | 7.13 Bn |
| Dec 31, 2021 | 7.02 Bn |
| Sep 30, 2021 | 7.08 Bn |
Selective Insurance Total Non-Current 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-non-current-liabilities&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SIGI", "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-non-current-liabilities&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();