Selective Insurance (SIGI) Other Non-Current Liabilities (2009 - 2026)
Selective Insurance (SIGI) posted Other Non-Current Liabilities of $482.63 million for Q2 2026, up 4.5% from $461.69 million a year earlier but down 3.5% from the prior quarter.
Selective Insurance (SIGI) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Selective Insurance's Other Non-Current Liabilities came in at $516.22 million, down 4.2% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior years, Selective Insurance's Other Non-Current Liabilities was $538.74 million in FY2024 (-1.8%), $548.4 million in FY2023 (+6.0%), $517.23 million in FY2022 (+14.0%) and $453.87 million in FY2021 (+24.8%).
- Quarterly Other Non-Current Liabilities has run from a low of $402.63 million in Q1 2022 to a high of $576.63 million in Q3 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in two of the last seven quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2023, with growth of 34.2%; the weakest was Q2 2025, with a decline of 14.4%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $500.36 million (Q1 2026), $516.22 million (Q4 2025) and $539.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482.63 Mn |
| Mar 31, 2026 | 500.36 Mn |
| Dec 31, 2025 | 516.22 Mn |
| Sep 30, 2025 | 539.07 Mn |
| Jun 30, 2025 | 461.69 Mn |
| Mar 31, 2025 | 564.68 Mn |
| Dec 31, 2024 | 538.74 Mn |
| Sep 30, 2024 | 576.63 Mn |
| Jun 30, 2024 | 539.22 Mn |
| Mar 31, 2024 | 479.13 Mn |
| Dec 31, 2023 | 548.40 Mn |
| Sep 30, 2023 | 518.60 Mn |
| Jun 30, 2023 | 519.63 Mn |
| Mar 31, 2023 | 540.52 Mn |
| Dec 31, 2022 | 517.23 Mn |
| Sep 30, 2022 | 488.05 Mn |
| Jun 30, 2022 | 425.22 Mn |
| Mar 31, 2022 | 402.63 Mn |
| Dec 31, 2021 | 453.87 Mn |
| Sep 30, 2021 | 444.64 Mn |
Selective Insurance Other 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=other-non-current-liabilities&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();