Berkley W R (WRB) Non-Current Debt (2010 - 2025)
Berkley W R's Non-Current Debt came in at -$426.5 million for Q1 2022, compared with -$110 million a year earlier.
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Analysis
Berkley W R (WRB) Non-Current Debt (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Mar 31, 2022, Berkley W R reported Non-Current Debt of -$930.42 million; for FY2019, it was -$456.36 million.
- Going back by year, Non-Current Debt was -$4.52 million in FY2018, -$20,000 in FY2017, -$75.49 million in FY2016 and -$281.09 million in FY2015.
- The Q1 2022 figure represents the lowest quarterly Non-Current Debt since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.90 Bn | 84.48 Bn | 9.13 Bn | 662.00 Mn |
| 2 | Progressive | 128.90 Bn | 104.73 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.46 Bn | 82.62 Bn | - | 18.89 Bn |
| 4 | Travelers Companies | 83.25 Bn | 59.50 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.16 Bn | -17.72 Bn | - | 4.60 Bn |
| 6 | Arthur J. Gallagher | 66.18 Bn | 60.59 Bn | - | 11.96 Bn |
| 7 | Metlife | 65.78 Bn | -41.00 Bn | 7.82 Bn | 286.00 Mn |
| 8 | Allstate | 63.84 Bn | 25.11 Bn | 8.73 Bn | - |
| 9 | Aon | 62.93 Bn | 56.14 Bn | - | 12.95 Bn |
| 10 | Berkley W R | 28.68 Bn | 13.14 Bn | 1.76 Bn | -906,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.82 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Dec 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.82 Bn |
| Dec 31, 2021 | 2.25 Bn |
| Dec 31, 2020 | 1.51 Bn |
| Dec 31, 2019 | 1.32 Bn |
| Dec 31, 2018 | 1.76 Bn |
| Dec 31, 2017 | 1.76 Bn |
| Dec 31, 2016 | 1.76 Bn |
| Dec 31, 2015 | 1.76 Bn |
| Dec 31, 2014 | 1.96 Bn |
| Dec 31, 2013 | 1.62 Bn |
| Dec 31, 2012 | 1.81 Bn |
| Dec 31, 2011 | 1.50 Bn |
| Dec 31, 2010 | 1.50 Bn |
API Access
Berkley W R Non-Current Debt 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=non-current-debt&ticker=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();