Selective Insurance (SIGI) Operating Income (2023 - 2026)
Selective Insurance (SIGI) posted Operating Income of -$653.42 million for Q2 2026, compared with -$714.99 million a year earlier.
Selective Insurance (SIGI) Operating Income (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Selective Insurance was -$2.59 billion; for FY2025, it came in at -$2.57 billion.
- In prior years, Selective Insurance's Operating Income was -$2.91 billion in FY2024, -$2.03 billion in FY2023 and -$1.83 billion in FY2022.
- Quarterly Operating Income has run from a low of -$1.01 billion in Q2 2024 to a high of -$533.38 million in Q4 2023 over five years.
- According to Business Quant data, Operating Income for the three prior quarters was -$691.3 million (Q1 2026), -$572.38 million (Q4 2025) and -$673.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 915.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | -653.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -653.42 Mn |
| Mar 31, 2026 | -691.30 Mn |
| Dec 31, 2025 | -572.38 Mn |
| Sep 30, 2025 | -673.32 Mn |
| Jun 30, 2025 | -714.99 Mn |
| Mar 31, 2025 | -607.44 Mn |
| Dec 31, 2024 | -649.91 Mn |
| Sep 30, 2024 | -649.17 Mn |
| Jun 30, 2024 | -1.01 Bn |
| Mar 31, 2024 | -601.73 Mn |
| Sep 30, 2023 | -533.38 Mn |
Selective Insurance Operating 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=operating-income&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();