Rli (RLI) Operating Expenses (2009 - 2026)
Analysis
Rli (RLI) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 12.79 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 19.96 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 10.04 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 3.46 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 3.29 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 18.12 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 14.73 Bn |
| 10 | Rli | 6.19 Bn | 2.34 Bn | 275.62 Mn | 373.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 373.73 Mn |
| Jun 30, 2026 | 367.85 Mn |
| Mar 31, 2026 | 358.68 Mn |
| Dec 31, 2025 | 341.12 Mn |
| Sep 30, 2025 | 353.56 Mn |
| Jun 30, 2025 | 345.78 Mn |
| Mar 31, 2025 | 332.08 Mn |
| Dec 31, 2024 | 379.16 Mn |
| Sep 30, 2024 | 354.41 Mn |
| Jun 30, 2024 | 314.79 Mn |
| Mar 31, 2024 | 289.61 Mn |
| Dec 31, 2023 | 292.53 Mn |
| Sep 30, 2023 | 318.41 Mn |
| Jun 30, 2023 | 287.35 Mn |
| Mar 31, 2023 | 246.06 Mn |
| Dec 31, 2022 | 253.38 Mn |
| Sep 30, 2022 | 287.44 Mn |
| Jun 30, 2022 | 231.30 Mn |
| Mar 31, 2022 | 215.05 Mn |
| Dec 31, 2021 | 213.99 Mn |
API Access
Rli 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=RLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();