Selective Insurance (SIGI) Retained Earnings (2009 - 2026)
Selective Insurance (SIGI) posted Retained Earnings of $3.67 billion for Q2 2026, up 11.8% from $3.28 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Selective Insurance's Retained Earnings came in at $3.5 billion, up 11.5% from FY2024.
- Annual Retained Earnings has increased for 14 consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, Selective Insurance's Retained Earnings was $3.14 billion in FY2024 (+3.6%), $3.03 billion in FY2023 (+10.2%), $2.75 billion in FY2022 (+5.6%) and $2.6 billion in FY2021 (+14.6%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last seven quarters, with growth averaging 8.8% over the last seven quarters.
- The year-over-year growth in Retained Earnings has ranged between 3.6% (Q4 2024) and 14.6% (Q4 2021) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $3.57 billion (Q1 2026), $3.5 billion (Q4 2025) and $3.37 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 798.96 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 71.68 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 32.26 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 29.30 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 58.35 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 82.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 6.59 Bn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 3.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.67 Bn |
| Mar 31, 2026 | 3.57 Bn |
| Dec 31, 2025 | 3.50 Bn |
| Sep 30, 2025 | 3.37 Bn |
| Jun 30, 2025 | 3.28 Bn |
| Mar 31, 2025 | 3.22 Bn |
| Dec 31, 2024 | 3.14 Bn |
| Sep 30, 2024 | 3.07 Bn |
| Jun 30, 2024 | 3.00 Bn |
| Mar 31, 2024 | 3.09 Bn |
| Dec 31, 2023 | 3.03 Bn |
| Sep 30, 2023 | 2.93 Bn |
| Jun 30, 2023 | 2.86 Bn |
| Mar 31, 2023 | 2.82 Bn |
| Dec 31, 2022 | 2.75 Bn |
| Sep 30, 2022 | 2.68 Bn |
| Jun 30, 2022 | 2.66 Bn |
| Mar 31, 2022 | 2.64 Bn |
| Dec 31, 2021 | 2.60 Bn |
| Sep 30, 2021 | 2.52 Bn |
API Access
Selective Insurance 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=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SIGI", "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=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();