Berkley W R (WRB) Exchange Rate Effect (2009 - 2026)
Berkley W R's Exchange Rate Effect was $14.24 million in Q2 2026, down 46.2% from $26.44 million a year earlier.
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Analysis
Berkley W R (WRB) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Berkley W R's Exchange Rate Effect was $19.52 million through Jun 30, 2026, up 38.1% year-over-year; for FY2025, it came in at $38.36 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$29.84 million in FY2024, $9.07 million in FY2023, -$24.75 million in FY2022 and -$4.2 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$30.91 million (Q4 2024) and $26.44 million (Q2 2025) over five years.
- Compared with a year earlier, Exchange Rate Effect was higher in 1 of the last four quarters, with an average decline of 1.1%.
- The best year-over-year quarter for Exchange Rate Effect over five years was Q4 2023 (growth of 487.8%); the worst was Q1 2026 (a decline of 88.7%).
- Per Business Quant data, WRB's Exchange Rate Effect in the three quarters before Q2 2026 was $841,000 (Q1 2026), $1.93 million (Q4 2025) and $2.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 40.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 253.02 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | -57.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | - |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | -50.00 Mn |
| 10 | Berkley W R | 28.88 Bn | 13.33 Bn | 1.76 Bn | 14.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.24 Mn |
| Mar 31, 2026 | 841,000.00 |
| Dec 31, 2025 | 1.93 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 26.44 Mn |
| Mar 31, 2025 | 7.47 Mn |
| Dec 31, 2024 | -30.91 Mn |
| Sep 30, 2024 | 11.14 Mn |
| Jun 30, 2024 | -4.50 Mn |
| Mar 31, 2024 | -5.56 Mn |
| Dec 31, 2023 | 8.11 Mn |
| Sep 30, 2023 | 3.62 Mn |
| Jun 30, 2023 | -5.50 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 1.38 Mn |
| Sep 30, 2022 | -8.84 Mn |
| Jun 30, 2022 | -18.37 Mn |
| Mar 31, 2022 | 1.08 Mn |
| Dec 31, 2021 | 4.98 Mn |
| Sep 30, 2021 | -8.87 Mn |
API Access
Berkley W R Exchange Rate Effect 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=exchange-rate-effect&ticker=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();