Berkley W R (WRB) Acquisitions (2009 - 2023)
Berkley W R's Acquisitions was $11.56 million in Q4 2023.
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Analysis
Berkley W R (WRB) Acquisitions (2009 - 2023) Analysis & Trends
From Q3 2009 onward, Berkley W R has reported Acquisitions for 42 quarters.
- Acquisitions shows a five-year compound annual growth rate of 11.7% (FY2018 to FY2023).
- In earlier years, Acquisitions was $49.57 million in FY2022.
- The Q4 2023 figure marks the highest quarterly Acquisitions since Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.86 Bn | 84.45 Bn | 9.13 Bn | - |
| 2 | Progressive | 128.96 Bn | 104.80 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.46 Bn | 82.62 Bn | - | 134.00 Mn |
| 4 | Travelers Companies | 83.26 Bn | 59.51 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.12 Bn | -17.76 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.16 Bn | 60.57 Bn | - | 327.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | - |
| 8 | Allstate | 63.91 Bn | 25.18 Bn | 8.73 Bn | 357.00 Mn |
| 9 | Aon | 62.93 Bn | 56.14 Bn | - | 26.00 Mn |
| 10 | Berkley W R | 28.65 Bn | 13.11 Bn | 1.76 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 11.56 Mn |
| Mar 31, 2022 | 49.57 Mn |
| Jun 30, 2018 | 6.64 Mn |
| Sep 30, 2017 | -776,000.00 |
| Mar 31, 2017 | 71.35 Mn |
| Dec 31, 2016 | -73,000.00 |
| Sep 30, 2016 | 12.31 Mn |
| Jun 30, 2016 | -13.10 Mn |
| Mar 31, 2016 | 54.31 Mn |
| Dec 31, 2015 | 156,000.00 |
| Sep 30, 2015 | 7.16 Mn |
| Dec 31, 2014 | -2,000.00 |
| Sep 30, 2014 | 80.97 Mn |
| Jun 30, 2014 | -15.65 Mn |
| Mar 31, 2014 | 97,000.00 |
| Dec 31, 2013 | 18.32 Mn |
| Sep 30, 2013 | -21.41 Mn |
| Jun 30, 2013 | 21.41 Mn |
| Mar 31, 2013 | 38.56 Mn |
| Dec 31, 2012 | 42.78 Mn |
API Access
Berkley W R Acquisitions 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=acquisitions&ticker=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();