Selective Insurance (SIGI) EBT (2009 - 2026)
Selective Insurance's EBT came in at $162.85 million for Q2 2026, up 49.5% from $108.91 million a year earlier and up 31.1% from the prior quarter.
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Analysis
Selective Insurance (SIGI) EBT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Selective Insurance reported EBT of $628.85 million, up 30.1% year-over-year; for FY2025, it came in at $589.6 million, up 128.5% from FY2024.
- EBT carries a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Going back by year, EBT was $258.03 million in FY2024 (-43.7%), $458.41 million in FY2023 (+63.6%), $280.19 million in FY2022 (-44.6%) and $505.31 million in FY2021 (+66.8%).
- The five-year range for quarterly EBT is -$80.1 million (Q2 2024) to $196.1 million (Q4 2025).
- Year-over-year, EBT increased in four of the last five quarters, with growth averaging 32.8%.
- The fastest year-over-year change in EBT over five years came in Q4 2023 (growth of 113.8%), and the weakest in Q2 2022 (a decline of 67.4%).
- Business Quant data shows SIGI's EBT at $124.2 million (Q1 2026), $196.1 million (Q4 2025) and $145.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 32.06 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 3.62 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 4.21 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 2.77 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 2.00 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 1.04 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 414.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 4.14 Bn |
| 10 | Selective Insurance | 5.07 Bn | 2.97 Bn | 570.77 Mn | 162.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.85 Mn |
| Mar 31, 2026 | 124.20 Mn |
| Dec 31, 2025 | 196.10 Mn |
| Sep 30, 2025 | 145.71 Mn |
| Jun 30, 2025 | 108.91 Mn |
| Mar 31, 2025 | 138.89 Mn |
| Dec 31, 2024 | 119.08 Mn |
| Sep 30, 2024 | 116.49 Mn |
| Jun 30, 2024 | -80.10 Mn |
| Mar 31, 2024 | 102.57 Mn |
| Sep 30, 2023 | 112.52 Mn |
| Jun 30, 2023 | 74.16 Mn |
| Mar 31, 2023 | 114.76 Mn |
| Sep 30, 2022 | 52.64 Mn |
| Jun 30, 2022 | 49.90 Mn |
| Mar 31, 2022 | 69.89 Mn |
| Sep 30, 2021 | 92.64 Mn |
| Jun 30, 2021 | 153.20 Mn |
| Mar 31, 2021 | 135.63 Mn |
| Dec 31, 2020 | 159.04 Mn |
API Access
Selective Insurance EBT 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=ebt&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();