Rli (RLI) Tax Provisions (2009 - 2026)
Rli's Tax Provisions was $19.08 million in Q3 2026, down 41.5% from $32.64 million a year earlier and down 55.3% from the prior quarter.
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Analysis
Rli (RLI) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rli's Tax Provisions was $96.61 million through Sep 30, 2026, up 11.3% year-over-year; for FY2025, it came in at $102.64 million, up 25.5% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $81.77 million in FY2024 (+12.5%), $72.65 million in FY2023 (-47.1%), $137.27 million in FY2022 (+111.3%) and $64.97 million in FY2021 (+98.4%).
- Quarterly Tax Provisions has moved between -$4.32 million (Q2 2022) and $114.81 million (Q3 2022) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last eight quarters, with growth averaging 23.1%.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2025 (growth of 241.0%); the worst was Q3 2023 (a decline of 98.7%).
- Per Business Quant data, RLI's Tax Provisions in the three quarters before Q3 2026 was $42.66 million (Q2 2026), $12.46 million (Q1 2026) and $22.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 666.00 Mn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 694.00 Mn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 452.00 Mn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 109.00 Mn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 126.00 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 256.00 Mn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 537.00 Mn |
| 10 | Rli | 6.19 Bn | 2.34 Bn | 275.62 Mn | 19.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.08 Mn |
| Jun 30, 2026 | 42.66 Mn |
| Mar 31, 2026 | 12.46 Mn |
| Dec 31, 2025 | 22.41 Mn |
| Sep 30, 2025 | 32.64 Mn |
| Jun 30, 2025 | 32.18 Mn |
| Mar 31, 2025 | 15.42 Mn |
| Dec 31, 2024 | 6.57 Mn |
| Sep 30, 2024 | 21.80 Mn |
| Jun 30, 2024 | 21.31 Mn |
| Mar 31, 2024 | 32.09 Mn |
| Dec 31, 2023 | 28.81 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 18.38 Mn |
| Mar 31, 2023 | 23.98 Mn |
| Dec 31, 2022 | 16.17 Mn |
| Sep 30, 2022 | 114.81 Mn |
| Jun 30, 2022 | -4.32 Mn |
| Mar 31, 2022 | 10.60 Mn |
| Dec 31, 2021 | 21.75 Mn |
API Access
Rli Tax Provisions 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=tax-provisions&ticker=RLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();