SiriusPoint (SPNT) Interest Expenses (2015 - 2026)
SiriusPoint (SPNT) posted Interest Expenses of $18.7 million for Q2 2026, down 11.4% from $21.1 million a year earlier but up 11.3% from the prior quarter.
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Analysis
SiriusPoint (SPNT) Interest Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at SiriusPoint was $76 million, up 4.7% year-over-year; for FY2025, it came in at $79.7 million, up 14.5% from FY2024.
- Annual Interest Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 57.6% (FY2020 to FY2025).
- In prior years, SiriusPoint's Interest Expenses was $69.6 million in FY2024 (+8.6%), $64.1 million in FY2023 (+66.1%), $38.6 million in FY2022 (+13.5%) and $34 million in FY2021 (+314.6%).
- Quarterly Interest Expenses has run from a low of $9.3 million in Q1 2022 to a high of $21.1 million in Q2 2025 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last three quarters, with growth averaging 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2021, with growth of 364.2%; the weakest was Q3 2024, with a decline of 30.3%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $16.8 million (Q1 2026), $19.5 million (Q4 2025) and $21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | SiriusPoint | 2.82 Bn | -306.22 Mn | - | 18.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.70 Mn |
| Mar 31, 2026 | 16.80 Mn |
| Dec 31, 2025 | 19.50 Mn |
| Sep 30, 2025 | 21.00 Mn |
| Jun 30, 2025 | 21.10 Mn |
| Mar 31, 2025 | 18.10 Mn |
| Dec 31, 2024 | 19.60 Mn |
| Sep 30, 2024 | 13.80 Mn |
| Jun 30, 2024 | 15.70 Mn |
| Mar 31, 2024 | 20.50 Mn |
| Dec 31, 2023 | 19.80 Mn |
| Sep 30, 2023 | 19.80 Mn |
| Jun 30, 2023 | 11.70 Mn |
| Mar 31, 2023 | 12.80 Mn |
| Dec 31, 2022 | 10.50 Mn |
| Sep 30, 2022 | 9.40 Mn |
| Jun 30, 2022 | 9.40 Mn |
| Mar 31, 2022 | 9.30 Mn |
| Dec 31, 2021 | 9.60 Mn |
| Sep 30, 2021 | 9.70 Mn |
API Access
SiriusPoint Interest Expenses 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=interest-expenses&ticker=SPNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();