Berkley W R (WRB) Return on Sales [ROS] (2009 - 2026)
Berkley W R (WRB) recorded Return on Sales [ROS] of -37.28% in 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Berkley W R's Return on Sales [ROS] came in at -36.26% as of Jun 30, 2026, up 0.71 percentage points year-over-year; for FY2025, it was -37.33%, down 1.65 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +9.14 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] 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).
- Quarterly Return on Sales [ROS] has ranged from -48.28% in Q2 2022 to -20.81% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.32 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 17.46 percentage points in Q1 2022, against a drop of 19.35 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Berkley W R | 25.60 Bn | 10.07 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();