SiriusPoint (SPNT) Total Liabilities (2012 - 2026)
SiriusPoint's Total Liabilities was $10.38 billion in Q2 2026, up 1.2% from $10.25 billion a year earlier and up 1.9% from the prior quarter.
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Analysis
SiriusPoint (SPNT) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at SiriusPoint came in at $10.1 billion, down 4.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $10.59 billion in FY2024 (+2.4%), $10.34 billion in FY2023 (+15.5%), $8.95 billion in FY2022 (+10.3%) and $8.12 billion in FY2021 (+311.9%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q4 2024.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 311.9%); the worst was Q4 2025 (a decline of 4.6%).
- Per Business Quant data, SPNT's Total Liabilities in the three quarters before Q2 2026 was $10.18 billion (Q1 2026), $10.1 billion (Q4 2025) and $10.25 billion (Q3 2025).
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 | SiriusPoint | 2.88 Bn | -242.38 Mn | - | 10.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.38 Bn |
| Mar 31, 2026 | 10.18 Bn |
| Dec 31, 2025 | 10.10 Bn |
| Sep 30, 2025 | 10.25 Bn |
| Jun 30, 2025 | 10.25 Bn |
| Mar 31, 2025 | 10.25 Bn |
| Dec 31, 2024 | 10.59 Bn |
| Sep 30, 2024 | 9.99 Bn |
| Jun 30, 2024 | 10.06 Bn |
| Mar 31, 2024 | 10.52 Bn |
| Dec 31, 2023 | 10.34 Bn |
| Sep 30, 2023 | 10.33 Bn |
| Jun 30, 2023 | 10.35 Bn |
| Mar 31, 2023 | 9.57 Bn |
| Dec 31, 2022 | 8.95 Bn |
| Sep 30, 2022 | 8.91 Bn |
| Jun 30, 2022 | 8.62 Bn |
| Mar 31, 2022 | 8.63 Bn |
| Dec 31, 2021 | 8.12 Bn |
| Sep 30, 2021 | 8.08 Bn |
API Access
SiriusPoint 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=SPNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SPNT", "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=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();