SiriusPoint (SPNT) Retained Earnings (2012 - 2026)
SiriusPoint (SPNT) recorded Retained Earnings of $1.4 billion in Q2 2026, up 54.9% from $901.7 million a year earlier and up 5.2% from the prior quarter.
SiriusPoint (SPNT) Retained Earnings (2012 - 2026) Analysis & Trends
At the end of FY2025, SiriusPoint reported Retained Earnings of $1.23 billion, up 56.5% from FY2024.
- Annual Retained Earnings has increased for three straight years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $784.9 million in FY2024 (+30.6%), $601 million in FY2023 (+129.2%), $262.2 million in FY2022 (-60.6%) and $665 million in FY2021 (+7.2%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2012.
- On a year-over-year basis, Retained Earnings has increased for 13 consecutive quarters, with growth averaging 39.4% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 129.2% in Q4 2023, against a decline of 62.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.33 billion (Q1 2026), $1.23 billion (Q4 2025) and $988.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 798.96 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 71.68 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 32.26 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 29.30 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 58.35 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 6.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 67.50 Bn |
| 10 | SiriusPoint | 2.88 Bn | -242.38 Mn | - | 1.40 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Bn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 1.23 Bn |
| Sep 30, 2025 | 988.50 Mn |
| Jun 30, 2025 | 901.70 Mn |
| Mar 31, 2025 | 842.50 Mn |
| Dec 31, 2024 | 784.90 Mn |
| Sep 30, 2024 | 806.20 Mn |
| Jun 30, 2024 | 801.70 Mn |
| Mar 31, 2024 | 691.80 Mn |
| Dec 31, 2023 | 601.00 Mn |
| Sep 30, 2023 | 507.50 Mn |
| Jun 30, 2023 | 450.00 Mn |
| Mar 31, 2023 | 394.10 Mn |
| Dec 31, 2022 | 262.20 Mn |
| Sep 30, 2022 | 288.80 Mn |
| Jun 30, 2022 | 387.20 Mn |
| Mar 31, 2022 | 448.00 Mn |
| Dec 31, 2021 | 665.00 Mn |
| Sep 30, 2021 | 767.80 Mn |
SiriusPoint Retained Earnings 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=retained-earnings&ticker=SPNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();