SiriusPoint (SPNT) Tax Provisions (2014 - 2026)
SiriusPoint's Tax Provisions came in at $15.8 million for Q2 2026, up 36.2% from $11.6 million a year earlier but down 17.7% from the prior quarter.
SiriusPoint (SPNT) Tax Provisions (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, SiriusPoint reported Tax Provisions of $91.3 million, up 188.0% year-over-year; for FY2025, it came in at $81.2 million, up 164.5% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 58.6% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $30.7 million in FY2024, -$45 million in FY2023, -$36.7 million in FY2022 and -$10.7 million in FY2021.
- The five-year range for quarterly Tax Provisions is -$101.6 million (Q4 2023) to $36.1 million (Q4 2025).
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 211.0% over the last seven quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q3 2025 (growth of 741.7%), and the weakest in Q3 2024 (a decline of 84.3%).
- Business Quant data shows SPNT's Tax Provisions at $19.2 million (Q1 2026), $36.1 million (Q4 2025) and $20.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 6.29 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 742.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 898.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 411.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 559.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -328.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 159.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 90.00 Mn |
| 10 | SiriusPoint | 2.82 Bn | -306.22 Mn | - | 15.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.80 Mn |
| Mar 31, 2026 | 19.20 Mn |
| Dec 31, 2025 | 36.10 Mn |
| Sep 30, 2025 | 20.20 Mn |
| Jun 30, 2025 | 11.60 Mn |
| Mar 31, 2025 | 13.30 Mn |
| Dec 31, 2024 | 4.40 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | 14.20 Mn |
| Mar 31, 2024 | 9.70 Mn |
| Dec 31, 2023 | -101.60 Mn |
| Sep 30, 2023 | 15.30 Mn |
| Jun 30, 2023 | 15.80 Mn |
| Mar 31, 2023 | 25.50 Mn |
| Dec 31, 2022 | -19.60 Mn |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | -27.70 Mn |
| Mar 31, 2022 | 9.70 Mn |
| Dec 31, 2021 | -17.10 Mn |
| Sep 30, 2021 | -13.00 Mn |
SiriusPoint Tax Provisions 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=tax-provisions&ticker=SPNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();