Selective Insurance (SIGI) Revenue (2009 - 2026)
Selective Insurance's Revenue came in at $1.39 billion for Q2 2026, up 4.5% from $1.33 billion a year earlier and up 2.1% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Selective Insurance reported Revenue of $5.47 billion, up 7.0% year-over-year; for FY2025, it was $5.34 billion, up 9.8% from FY2024.
- Revenue has increased in each of the last 16 years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Revenue was $4.86 billion in FY2024 (+14.9%), $4.23 billion in FY2023 (+18.9%), $3.56 billion in FY2022 (+5.3%) and $3.38 billion in FY2021 (+15.6%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q2 2009.
- Year-over-year, Revenue has increased for six consecutive quarters, with growth averaging 8.2% over the last six quarters.
- Across the past five years, year-over-year growth in Revenue ran from 2.9% in Q2 2022 to 20.8% in Q4 2023.
- Business Quant data shows SIGI's Revenue at $1.36 billion (Q1 2026), $1.36 billion (Q4 2025) and $1.36 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 101.81 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 15.82 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 23.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 7.40 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 12.15 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 14.50 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 4.25 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 4.00 Bn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.33 Bn |
| Mar 31, 2025 | 1.29 Bn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 999.82 Mn |
| Sep 30, 2022 | 895.02 Mn |
| Jun 30, 2022 | 864.82 Mn |
| Mar 31, 2022 | 846.06 Mn |
| Sep 30, 2021 | 865.04 Mn |
| Jun 30, 2021 | 840.52 Mn |
| Mar 31, 2021 | 803.91 Mn |
| Dec 31, 2020 | 798.43 Mn |
API Access
Selective Insurance Revenue 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=revenue&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();