Berkley W R (WRB) Operating Expenses (2009 - 2026)
Berkley W R (WRB) posted Operating Expenses of $3.14 billion for Q2 2026, down 0.3% from $3.15 billion a year earlier but up 2.2% from the prior quarter.
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Analysis
Berkley W R (WRB) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Berkley W R was $12.48 billion, up 3.8% year-over-year; for FY2025, it was $12.43 billion, up 9.3% from FY2024.
- Annual Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In prior years, Berkley W R's Operating Expenses was $11.37 billion in FY2024 (+9.5%), $10.39 billion in FY2023 (+10.0%), $9.45 billion in FY2022 (+15.6%) and $8.17 billion in FY2021 (+10.5%).
- Quarterly Operating Expenses has run from a low of $2.09 billion in Q3 2021 to a high of $3.15 billion in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 7.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 17.3%; the weakest was Q2 2026, with a decline of 0.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.07 billion (Q1 2026), $3.15 billion (Q4 2025) and $3.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 139.23 Bn | 85.81 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 131.16 Bn | 106.99 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 92.22 Bn | 84.38 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 85.09 Bn | 61.34 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.35 Bn | -17.53 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 67.80 Bn | 62.21 Bn | - | 3.59 Bn |
| 7 | Metlife | 65.71 Bn | -41.07 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 65.01 Bn | 26.28 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 64.17 Bn | 57.39 Bn | - | 3.33 Bn |
| 10 | Berkley W R | 29.11 Bn | 13.56 Bn | 1.76 Bn | 3.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.14 Bn |
| Mar 31, 2026 | 3.07 Bn |
| Dec 31, 2025 | 3.15 Bn |
| Sep 30, 2025 | 3.12 Bn |
| Jun 30, 2025 | 3.15 Bn |
| Mar 31, 2025 | 3.01 Bn |
| Dec 31, 2024 | 2.94 Bn |
| Sep 30, 2024 | 2.93 Bn |
| Jun 30, 2024 | 2.83 Bn |
| Mar 31, 2024 | 2.68 Bn |
| Dec 31, 2023 | 2.72 Bn |
| Sep 30, 2023 | 2.61 Bn |
| Jun 30, 2023 | 2.54 Bn |
| Mar 31, 2023 | 2.52 Bn |
| Dec 31, 2022 | 2.54 Bn |
| Sep 30, 2022 | 2.44 Bn |
| Jun 30, 2022 | 2.29 Bn |
| Mar 31, 2022 | 2.18 Bn |
| Dec 31, 2021 | 2.22 Bn |
| Sep 30, 2021 | 2.09 Bn |
API Access
Berkley W R 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=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();