Selective Insurance (SIGI) Total Liabilities (2009 - 2026)
Selective Insurance's Total Liabilities came in at $11.95 billion for Q2 2026, up 7.7% from $11.1 billion a year earlier and up 1.9% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Selective Insurance's Total Liabilities was $11.55 billion, up 11.1% from FY2024.
- Total Liabilities has increased in each of the last 12 years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $10.39 billion in FY2024 (+17.5%), $8.85 billion in FY2023 (+6.9%), $8.27 billion in FY2022 (+10.6%) and $7.48 billion in FY2021 (+7.6%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2009.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 13.0% over the last seven quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 6.0% in Q1 2022 to 20.9% in Q1 2025.
- Business Quant data shows SIGI's Total Liabilities at $11.73 billion (Q1 2026), $11.55 billion (Q4 2025) and $11.49 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | Selective Insurance | 5.07 Bn | 2.97 Bn | 570.77 Mn | 11.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.95 Bn |
| Mar 31, 2026 | 11.73 Bn |
| Dec 31, 2025 | 11.55 Bn |
| Sep 30, 2025 | 11.49 Bn |
| Jun 30, 2025 | 11.10 Bn |
| Mar 31, 2025 | 10.94 Bn |
| Dec 31, 2024 | 10.39 Bn |
| Sep 30, 2024 | 10.31 Bn |
| Jun 30, 2024 | 9.64 Bn |
| Mar 31, 2024 | 9.05 Bn |
| Dec 31, 2023 | 8.85 Bn |
| Sep 30, 2023 | 8.78 Bn |
| Jun 30, 2023 | 8.55 Bn |
| Mar 31, 2023 | 8.35 Bn |
| Dec 31, 2022 | 8.27 Bn |
| Sep 30, 2022 | 8.09 Bn |
| Jun 30, 2022 | 7.72 Bn |
| Mar 31, 2022 | 7.53 Bn |
| Dec 31, 2021 | 7.48 Bn |
| Sep 30, 2021 | 7.52 Bn |
API Access
Selective Insurance Total 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-liabilities&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();