SiriusPoint (SPNT) EBIT (2013 - 2026)
SiriusPoint (SPNT) posted EBIT of $103 million for Q2 2026, up 7.3% from $96 million a year earlier but down 25.5% from the prior quarter.
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Analysis
SiriusPoint (SPNT) EBIT (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at SiriusPoint was $672.9 million, up 204.1% year-over-year; for FY2025, it was $621 million, up 105.2% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 31.1% (FY2020 to FY2025).
- In prior years, SiriusPoint's EBIT was $302.7 million in FY2024 (-20.9%), $382.8 million in FY2023, -$384.1 million in FY2022 and $79.1 million in FY2021 (-50.6%).
- Quarterly EBIT has run from a low of -$194.3 million in Q1 2022 to a high of $299.7 million in Q4 2025 over five years.
- On a year-over-year basis, EBIT increased in three of the last seven quarters, with growth averaging 41.4%.
- The strongest year-over-year quarter for EBIT in the past five years was Q3 2025, with growth of 429.7%; the weakest was Q3 2024, with a decline of 74.8%.
- According to Business Quant data, EBIT for the three prior quarters was $138.3 million (Q1 2026), $299.7 million (Q4 2025) and $131.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 1.72 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 582.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | -5.72 Bn |
| 10 | SiriusPoint | 2.88 Bn | -242.38 Mn | - | 103.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.00 Mn |
| Mar 31, 2026 | 138.30 Mn |
| Dec 31, 2025 | 299.70 Mn |
| Sep 30, 2025 | 131.90 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 93.40 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 24.90 Mn |
| Jun 30, 2024 | 144.70 Mn |
| Mar 31, 2024 | 126.10 Mn |
| Dec 31, 2023 | 17.90 Mn |
| Sep 30, 2023 | 98.90 Mn |
| Jun 30, 2023 | 89.40 Mn |
| Mar 31, 2023 | 176.60 Mn |
| Dec 31, 2022 | -32.10 Mn |
| Sep 30, 2022 | -83.30 Mn |
| Jun 30, 2022 | -74.40 Mn |
| Mar 31, 2022 | -194.30 Mn |
| Dec 31, 2021 | -144.30 Mn |
| Sep 30, 2021 | -50.70 Mn |
API Access
SiriusPoint EBIT 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=ebit&ticker=SPNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();