Berkley W R (WRB) Operating Margin (2009 - 2026)
Berkley W R (WRB) reported Operating Margin of 16.33% for Q2 2026, up 1.25 percentage points from 15.08% a year earlier but down 1.22 percentage points from the prior quarter.
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 17.04%, up 0.31 percentage points year-over-year; for FY2025, it came in at 16.37%, down 1.17 percentage points from FY2024.
- Operating Margin has a five-year change of +5.81 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 17.53% in FY2024 (+2.04 pp), 15.50% in FY2023 (-1.07 pp), 16.57% in FY2022 (+1.44 pp) and 15.12% in FY2021 (+4.56 pp).
- Five-year quarterly Operating Margin spans a low of 10.12% in Q2 2022 and a high of 26.32% in Q1 2022.
- Year over year, Operating Margin gained in four of the last eight quarters, with an average year-over-year change of +0.30 percentage points.
- The high point for year-over-year Operating Margin in five years was Q1 2022 (a gain of 10.90 percentage points); the low point was Q1 2023 (a drop of 12.23 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 17.55% (Q1 2026), 16.22% (Q4 2025) and 18.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 22.27% |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 14.33% |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 17.70% |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 20.04% |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | - |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 19.73% |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 21.42% |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 15.64% |
| 10 | Berkley W R | 29.44 Bn | 14.10 Bn | 1.74 Bn | 16.21% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.21% |
| Jun 30, 2026 | 16.33% |
| Mar 31, 2026 | 17.55% |
| Dec 31, 2025 | 16.22% |
| Sep 30, 2025 | 18.04% |
| Jun 30, 2025 | 15.08% |
| Mar 31, 2025 | 16.08% |
| Dec 31, 2024 | 20.72% |
| Sep 30, 2024 | 14.89% |
| Jun 30, 2024 | 15.67% |
| Mar 31, 2024 | 18.60% |
| Dec 31, 2023 | 16.55% |
| Sep 30, 2023 | 14.91% |
| Jun 30, 2023 | 16.32% |
| Mar 31, 2023 | 14.09% |
| Dec 31, 2022 | 16.93% |
| Sep 30, 2022 | 11.67% |
| Jun 30, 2022 | 10.12% |
| Mar 31, 2022 | 26.32% |
| Dec 31, 2021 | 15.20% |
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_KEY
import 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();