Selective Insurance (SIGI) Other Operating Expenses (2009 - 2026)
Selective Insurance (SIGI) posted Other Operating Expenses of $136.19 million for Q2 2026, up 10.9% from $122.82 million a year earlier and up 1.1% from the prior quarter.
Selective Insurance (SIGI) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Selective Insurance was $524.64 million, up 9.9% year-over-year; for FY2025, it came in at $501.46 million, up 10.6% from FY2024.
- Annual Other Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Selective Insurance's Other Operating Expenses was $453.24 million in FY2024 (+4.5%), $433.74 million in FY2023 (+8.4%), $400.31 million in FY2022 (+6.5%) and $375.93 million in FY2021 (+2.4%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q4 2016.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last six quarters, with growth averaging 10.3% over the last six quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2023, with growth of 15.5%; the weakest was Q2 2024, with a decline of 1.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $134.68 million (Q1 2026), $126.28 million (Q4 2025) and $127.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.19 Mn |
| Mar 31, 2026 | 134.68 Mn |
| Dec 31, 2025 | 126.28 Mn |
| Sep 30, 2025 | 127.49 Mn |
| Jun 30, 2025 | 122.82 Mn |
| Mar 31, 2025 | 124.87 Mn |
| Dec 31, 2024 | 114.79 Mn |
| Sep 30, 2024 | 114.69 Mn |
| Jun 30, 2024 | 107.77 Mn |
| Mar 31, 2024 | 115.99 Mn |
| Sep 30, 2023 | 108.50 Mn |
| Jun 30, 2023 | 108.86 Mn |
| Mar 31, 2023 | 108.59 Mn |
| Sep 30, 2022 | 102.81 Mn |
| Jun 30, 2022 | 101.51 Mn |
| Mar 31, 2022 | 93.99 Mn |
| Sep 30, 2021 | 94.76 Mn |
| Jun 30, 2021 | 94.86 Mn |
| Mar 31, 2021 | 88.91 Mn |
| Dec 31, 2020 | 97.46 Mn |
Selective Insurance Other Operating Expenses 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=other-operating-expenses&ticker=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();