Berkley W R (WRB) Operating Margin (2009 - 2026)
Berkley W R (WRB) reported Operating Margin of -37.28% for Q2 2026, up 1.77 percentage points from -39.05% a year earlier but down 1.51 percentage points from the prior quarter.
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Analysis
Berkley W R (WRB) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Berkley W R's Operating Margin came in at -36.26%, up 0.71 percentage points year-over-year; for FY2025, it came in at -37.33%, down 1.65 percentage points from FY2024.
- Operating Margin has a five-year change of +9.14 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -35.69% in FY2024 (+2.34 pp), -38.03% in FY2023 (-0.93 pp), -37.09% in FY2022 (+1.73 pp) and -38.82% in FY2021 (+7.65 pp).
- Five-year quarterly Operating Margin spans a low of -48.28% in Q2 2022 and a high of -20.81% in Q1 2022.
- Year over year, Operating Margin gained in five of the last eight quarters, with an average year-over-year change of +0.32 percentage points.
- The high point for year-over-year Operating Margin in five years was Q1 2022 (a gain of 17.46 percentage points); the low point was Q1 2023 (a drop of 19.35 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -35.77% (Q1 2026), -36.94% (Q4 2025) and -35.05% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | - |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | -30.76% |
| 10 | Berkley W R | 25.11 Bn | 9.57 Bn | 1.76 Bn | -37.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -37.28% |
| Mar 31, 2026 | -35.77% |
| Dec 31, 2025 | -36.94% |
| Sep 30, 2025 | -35.05% |
| Jun 30, 2025 | -39.05% |
| Mar 31, 2025 | -38.40% |
| Dec 31, 2024 | -30.89% |
| Sep 30, 2024 | -39.75% |
| Jun 30, 2024 | -39.01% |
| Mar 31, 2024 | -33.46% |
| Dec 31, 2023 | -34.96% |
| Sep 30, 2023 | -40.13% |
| Jun 30, 2023 | -37.13% |
| Mar 31, 2023 | -40.16% |
| Dec 31, 2022 | -34.63% |
| Sep 30, 2022 | -46.92% |
| Jun 30, 2022 | -48.28% |
| Mar 31, 2022 | -20.81% |
| Dec 31, 2021 | -37.84% |
| Sep 30, 2021 | -39.85% |
API Access
Berkley W R Operating Margin 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=operating-margin&ticker=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();