Rli (RLI) Other Operating Expenses (2009 - 2026)
Rli's Other Operating Expenses was $172.39 million in Q3 2026, up 4.1% from $165.56 million a year earlier but down 3.1% from the prior quarter.
Rli (RLI) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rli's Other Operating Expenses was $680.76 million through Sep 30, 2026, up 7.2% year-over-year; for FY2025, it came in at $629.56 million, up 8.0% from FY2024.
- Other Operating Expenses has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $582.83 million in FY2024 (+11.2%), $524.01 million in FY2023 (+13.9%), $459.89 million in FY2022 (-46.4%) and $858.65 million in FY2021 (+6.8%).
- Quarterly Other Operating Expenses has moved between $128.85 million (Q3 2023) and $177.96 million (Q2 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for ten straight quarters, with growth averaging 7.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 4.1% in Q3 2026 to 18.2% in Q3 2024.
- Per Business Quant data, RLI's Other Operating Expenses in the three quarters before Q3 2026 was $177.96 million (Q2 2026), $165.43 million (Q1 2026) and $164.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn |
| 10 | Rli | 6.32 Bn | 2.47 Bn | 275.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.52 Mn |
| Jun 30, 2026 | 361.63 Mn |
| Mar 31, 2026 | 126.38 Mn |
| Dec 31, 2025 | 336.84 Mn |
| Sep 30, 2025 | 126.69 Mn |
| Jun 30, 2025 | -4.75 Mn |
| Mar 31, 2025 | 132.54 Mn |
| Dec 31, 2024 | -2.74 Mn |
| Sep 30, 2024 | -3.99 Mn |
| Jun 30, 2024 | -4.14 Mn |
| Mar 31, 2024 | -5.01 Mn |
| Dec 31, 2023 | 287.42 Mn |
| Sep 30, 2023 | 316.04 Mn |
| Jun 30, 2023 | 283.13 Mn |
| Mar 31, 2023 | 241.84 Mn |
| Dec 31, 2022 | 249.03 Mn |
| Sep 30, 2022 | 284.69 Mn |
| Jun 30, 2022 | 228.87 Mn |
| Mar 31, 2022 | 211.68 Mn |
| Dec 31, 2021 | 210.19 Mn |
Rli 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=RLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "RLI", "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=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();