Selective Insurance (SIGI) Operating Expenses (2009 - 2026)
Selective Insurance (SIGI) posted Operating Expenses of $1.22 billion for Q2 2026, up 0.5% from $1.22 billion a year earlier but down 0.9% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Selective Insurance was $4.84 billion, up 4.6% year-over-year; for FY2025, it came in at $4.75 billion, up 3.1% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In prior years, Selective Insurance's Operating Expenses was $4.6 billion in FY2024 (+22.0%), $3.77 billion in FY2023 (+15.1%), $3.28 billion in FY2022 (+14.1%) and $2.87 billion in FY2021 (+9.7%).
- Quarterly Operating Expenses has run from a low of $772.41 million in Q4 2021 to a high of $1.28 billion in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 3.7% over the last six quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 32.1%; the weakest was Q2 2025, with a decline of 4.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.23 billion (Q1 2026), $1.17 billion (Q4 2025) and $1.21 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | Selective Insurance | 5.04 Bn | 2.94 Bn | 570.77 Mn | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 1.21 Bn |
| Jun 30, 2025 | 1.22 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Sep 30, 2023 | 968.56 Mn |
| Jun 30, 2023 | 966.37 Mn |
| Mar 31, 2023 | 885.06 Mn |
| Sep 30, 2022 | 842.38 Mn |
| Jun 30, 2022 | 814.91 Mn |
| Mar 31, 2022 | 776.17 Mn |
| Sep 30, 2021 | 772.41 Mn |
| Jun 30, 2021 | 687.32 Mn |
| Mar 31, 2021 | 668.28 Mn |
| Dec 31, 2020 | 639.39 Mn |
API Access
Selective Insurance 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=operating-expenses&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();