Rli (RLI) Accumulated Expenses (2009 - 2026)
Rli (RLI) posted Accumulated Expenses of $92.47 million for Q2 2026, up 14.2% from $80.96 million a year earlier and up 35.9% from the prior quarter.
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Analysis
Rli (RLI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Rli's Accumulated Expenses came in at $128.6 million, up 3.5% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In prior years, Rli's Accumulated Expenses was $124.24 million in FY2024 (+14.1%), $108.88 million in FY2023 (+14.8%), $94.87 million in FY2022 (-3.5%) and $98.27 million in FY2021 (+29.4%).
- Quarterly Accumulated Expenses has run from a low of $57.1 million in Q1 2022 to a high of $128.6 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 59.4%; the weakest was Q1 2025, with a decline of 7.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $68.02 million (Q1 2026), $128.6 million (Q4 2025) and $110.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - |
| 10 | Rli | 5.15 Bn | 1.36 Bn | 385.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.47 Mn |
| Mar 31, 2026 | 68.02 Mn |
| Dec 31, 2025 | 128.60 Mn |
| Sep 30, 2025 | 110.66 Mn |
| Jun 30, 2025 | 80.96 Mn |
| Mar 31, 2025 | 63.45 Mn |
| Dec 31, 2024 | 124.24 Mn |
| Sep 30, 2024 | 105.81 Mn |
| Jun 30, 2024 | 83.81 Mn |
| Mar 31, 2024 | 68.22 Mn |
| Dec 31, 2023 | 108.88 Mn |
| Sep 30, 2023 | 85.64 Mn |
| Jun 30, 2023 | 70.22 Mn |
| Mar 31, 2023 | 57.48 Mn |
| Dec 31, 2022 | 94.87 Mn |
| Sep 30, 2022 | 81.07 Mn |
| Jun 30, 2022 | 68.05 Mn |
| Mar 31, 2022 | 57.10 Mn |
| Dec 31, 2021 | 98.27 Mn |
| Sep 30, 2021 | 74.16 Mn |
API Access
Rli Accumulated 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=accumulated-expenses&ticker=RLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();