Berkley W R (WRB) EBITDA (2009 - 2026)
Berkley W R (WRB) recorded EBITDA of $584.79 million in Q2 2026, up 8.4% from $539.67 million a year earlier but down 7.5% from the prior quarter.
Berkley W R (WRB) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Berkley W R's EBITDA came in at $2.48 billion as of Jun 30, 2026, up 5.8% year-over-year; for FY2025, it was $2.36 billion, up 6.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $2.22 billion in FY2024 (+19.3%), $1.86 billion in FY2023 (-2.4%), $1.91 billion in FY2022 (+22.2%) and $1.56 billion in FY2021 (+57.5%).
- Quarterly EBITDA has ranged from $266.89 million in Q2 2022 to $792.03 million in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA rose in seven of the last eight quarters, with growth averaging 14.7%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 116.2% in Q1 2022, against a decline of 47.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $632.34 million (Q1 2026), $588.29 million (Q4 2025) and $670.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -31.14 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | - |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 3.42 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 4.52 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 1.03 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 1.03 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 78.00 Mn |
| 10 | Berkley W R | 28.55 Bn | 13.22 Bn | 1.74 Bn | 595.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 595.24 Mn |
| Jun 30, 2026 | 584.79 Mn |
| Mar 31, 2026 | 632.34 Mn |
| Dec 31, 2025 | 588.29 Mn |
| Sep 30, 2025 | 670.80 Mn |
| Jun 30, 2025 | 539.67 Mn |
| Mar 31, 2025 | 560.55 Mn |
| Dec 31, 2024 | 746.41 Mn |
| Sep 30, 2024 | 494.24 Mn |
| Jun 30, 2024 | 455.10 Mn |
| Mar 31, 2024 | 525.02 Mn |
| Dec 31, 2023 | 508.92 Mn |
| Sep 30, 2023 | 448.23 Mn |
| Jun 30, 2023 | 486.20 Mn |
| Mar 31, 2023 | 417.64 Mn |
| Dec 31, 2022 | 520.16 Mn |
| Sep 30, 2022 | 326.84 Mn |
| Jun 30, 2022 | 266.89 Mn |
| Mar 31, 2022 | 792.03 Mn |
| Dec 31, 2021 | 420.30 Mn |
Berkley W R EBITDA 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=ebitda&ticker=WRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();