Berkley W R (WRB) Interest Expenses (2009 - 2026)
Berkley W R (WRB) reported Interest Expenses of $31.73 million for Q2 2026, down 0.2% from $31.78 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Berkley W R (WRB) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Berkley W R's Interest Expenses came in at $126.82 million, down 0.1% year-over-year; for FY2025, it was $126.89 million, unchanged from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- By year, Interest Expenses came in at $126.91 million in FY2024 (-0.4%), $127.46 million in FY2023 (-2.2%), $130.37 million in FY2022 (-11.4%) and $147.18 million in FY2021 (-2.2%).
- Five-year quarterly Interest Expenses spans a low of $31.63 million in Q4 2025 and a high of $37.33 million in Q4 2021.
- Year over year, Interest Expenses has now declined in each of the last three quarters, with an average decline of 0.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2021 (growth of 4.7%); the low point was Q2 2022 (a decline of 16.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.71 million (Q1 2026), $31.63 million (Q4 2025) and $31.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 200.00 Mn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | 88.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 248.00 Mn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | 113.00 Mn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | -280.50 Mn |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | 168.00 Mn |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | 96.00 Mn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | 179.00 Mn |
| 10 | Berkley W R | 29.37 Bn | 13.83 Bn | 1.76 Bn | 31.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.73 Mn |
| Mar 31, 2026 | 31.71 Mn |
| Dec 31, 2025 | 31.63 Mn |
| Sep 30, 2025 | 31.76 Mn |
| Jun 30, 2025 | 31.78 Mn |
| Mar 31, 2025 | 31.73 Mn |
| Dec 31, 2024 | 31.75 Mn |
| Sep 30, 2024 | 31.72 Mn |
| Jun 30, 2024 | 31.71 Mn |
| Mar 31, 2024 | 31.73 Mn |
| Dec 31, 2023 | 31.88 Mn |
| Sep 30, 2023 | 31.89 Mn |
| Jun 30, 2023 | 31.86 Mn |
| Mar 31, 2023 | 31.84 Mn |
| Dec 31, 2022 | 31.90 Mn |
| Sep 30, 2022 | 31.78 Mn |
| Jun 30, 2022 | 31.72 Mn |
| Mar 31, 2022 | 34.97 Mn |
| Dec 31, 2021 | 37.33 Mn |
| Sep 30, 2021 | 35.10 Mn |
API Access
Berkley W R Interest 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=interest-expenses&ticker=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();