SiriusPoint (SPNT) Operating Expenses (2012 - 2026)
SiriusPoint's Operating Expenses was $659.8 million in Q2 2026, down 2.0% from $673.3 million a year earlier but up 1.0% from the prior quarter.
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Analysis
SiriusPoint (SPNT) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, SiriusPoint's Operating Expenses was $2.65 billion through Jun 30, 2026, up 6.0% year-over-year; for FY2025, it came in at $2.66 billion, up 12.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.37 billion in FY2024 (-2.0%), $2.42 billion in FY2023 (-4.3%), $2.53 billion in FY2022 (+18.4%) and $2.14 billion in FY2021 (+189.5%).
- Quarterly Operating Expenses has moved between $514.3 million (Q1 2023) and $793 million (Q3 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 308.1%); the worst was Q3 2022 (a decline of 13.0%).
- Per Business Quant data, SPNT's Operating Expenses in the three quarters before Q2 2026 was $653.1 million (Q1 2026), $693.5 million (Q4 2025) and $645 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | SiriusPoint | 2.88 Bn | -242.38 Mn | - | 659.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 659.80 Mn |
| Mar 31, 2026 | 653.10 Mn |
| Dec 31, 2025 | 693.50 Mn |
| Sep 30, 2025 | 645.00 Mn |
| Jun 30, 2025 | 673.30 Mn |
| Mar 31, 2025 | 652.00 Mn |
| Dec 31, 2024 | 625.40 Mn |
| Sep 30, 2024 | 551.10 Mn |
| Jun 30, 2024 | 614.30 Mn |
| Mar 31, 2024 | 579.90 Mn |
| Dec 31, 2023 | 647.70 Mn |
| Sep 30, 2023 | 623.50 Mn |
| Jun 30, 2023 | 633.10 Mn |
| Mar 31, 2023 | 514.30 Mn |
| Dec 31, 2022 | 716.20 Mn |
| Sep 30, 2022 | 690.20 Mn |
| Jun 30, 2022 | 556.90 Mn |
| Mar 31, 2022 | 565.00 Mn |
| Dec 31, 2021 | 551.90 Mn |
| Sep 30, 2021 | 793.00 Mn |
API Access
SiriusPoint Operating 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=operating-expenses&ticker=SPNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();