Berkley W R (WRB) Tax Provisions (2009 - 2026)
Berkley W R's Tax Provisions was $122.89 million in Q2 2026, up 1.4% from $121.16 million a year earlier and up 22.3% from the prior quarter.
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Analysis
Berkley W R (WRB) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Berkley W R's Tax Provisions was $476.77 million through Jun 30, 2026, down 5.5% year-over-year; for FY2025, it came in at $495.76 million, down 2.8% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $509.92 million in FY2024 (+37.6%), $370.56 million in FY2023 (+10.7%), $334.73 million in FY2022 (+32.9%) and $251.89 million in FY2021 (+46.6%).
- Quarterly Tax Provisions has moved between $43.1 million (Q2 2022) and $152.96 million (Q4 2024) over five years.
- Compared with a year earlier, Tax Provisions was higher in five of the last eight quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2023 (growth of 135.4%); the worst was Q1 2023 (a decline of 42.4%).
- Per Business Quant data, WRB's Tax Provisions in the three quarters before Q2 2026 was $100.52 million (Q1 2026), $117.21 million (Q4 2025) and $136.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 139.80 Bn | 86.38 Bn | 9.13 Bn | 742.00 Mn |
| 2 | Progressive | 131.73 Bn | 107.57 Bn | 9.04 Bn | 898.00 Mn |
| 3 | Marsh & Mclennan Companies | 92.76 Bn | 84.92 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 84.99 Bn | 61.24 Bn | 6.23 Bn | 559.00 Mn |
| 5 | Manulife Financial | 76.74 Bn | -18.15 Bn | - | - |
| 6 | Arthur J. Gallagher | 68.20 Bn | 62.60 Bn | - | 90.00 Mn |
| 7 | Allstate | 65.23 Bn | 26.50 Bn | 8.73 Bn | 871.00 Mn |
| 8 | Metlife | 65.07 Bn | -41.71 Bn | 7.82 Bn | 256.00 Mn |
| 9 | Aon | 64.56 Bn | 57.78 Bn | - | 159.00 Mn |
| 10 | Berkley W R | 29.24 Bn | 13.70 Bn | 1.76 Bn | 122.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.89 Mn |
| Mar 31, 2026 | 100.52 Mn |
| Dec 31, 2025 | 117.21 Mn |
| Sep 30, 2025 | 136.14 Mn |
| Jun 30, 2025 | 121.16 Mn |
| Mar 31, 2025 | 121.26 Mn |
| Dec 31, 2024 | 152.96 Mn |
| Sep 30, 2024 | 109.14 Mn |
| Jun 30, 2024 | 115.79 Mn |
| Mar 31, 2024 | 132.04 Mn |
| Dec 31, 2023 | 102.24 Mn |
| Sep 30, 2023 | 86.52 Mn |
| Jun 30, 2023 | 101.46 Mn |
| Mar 31, 2023 | 80.34 Mn |
| Dec 31, 2022 | 96.44 Mn |
| Sep 30, 2022 | 55.79 Mn |
| Jun 30, 2022 | 43.10 Mn |
| Mar 31, 2022 | 139.40 Mn |
| Dec 31, 2021 | 60.31 Mn |
| Sep 30, 2021 | 64.96 Mn |
API Access
Berkley W R 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=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "WRB", "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=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();