Selective Insurance (SIGI) Net Income (2009 - 2026)
Selective Insurance (SIGI) recorded Net Income of $129.39 million in Q2 2026, up 50.5% from $85.94 million a year earlier and up 32.5% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Selective Insurance's Net Income came in at $497.63 million as of Jun 30, 2026, up 29.7% year-over-year; for FY2025, it came in at $466.41 million, up 125.3% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $207.01 million in FY2024 (-43.3%), $365.24 million in FY2023 (+62.4%), $224.89 million in FY2022 (-44.3%) and $403.84 million in FY2021 (+63.9%).
- Quarterly Net Income has ranged from -$63.32 million in Q2 2024 to $155.23 million in Q4 2025 over the past five years.
- On a year-over-year basis, Net Income rose in four of the last five quarters, with growth averaging 32.0%.
- Peak year-over-year performance for Net Income in the last five years was growth of 109.8% in Q4 2023, against a decline of 67.6% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $97.68 million (Q1 2026), $155.23 million (Q4 2025) and $115.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.68 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 565.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 324.00 Mn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 129.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.39 Mn |
| Mar 31, 2026 | 97.68 Mn |
| Dec 31, 2025 | 155.23 Mn |
| Sep 30, 2025 | 115.34 Mn |
| Jun 30, 2025 | 85.94 Mn |
| Mar 31, 2025 | 109.90 Mn |
| Dec 31, 2024 | 95.54 Mn |
| Sep 30, 2024 | 92.28 Mn |
| Jun 30, 2024 | -63.32 Mn |
| Mar 31, 2024 | 82.52 Mn |
| Sep 30, 2023 | 89.21 Mn |
| Jun 30, 2023 | 58.61 Mn |
| Mar 31, 2023 | 92.57 Mn |
| Sep 30, 2022 | 42.53 Mn |
| Jun 30, 2022 | 39.52 Mn |
| Mar 31, 2022 | 56.33 Mn |
| Sep 30, 2021 | 73.71 Mn |
| Jun 30, 2021 | 121.88 Mn |
| Mar 31, 2021 | 109.27 Mn |
| Dec 31, 2020 | 127.06 Mn |
API Access
Selective Insurance Net Income 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=net-income&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();