Brown & Brown (BRO) Return on Sales [ROS] (2009 - 2026)
Brown & Brown's Return on Sales [ROS] was 28.82% in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 0.65 percentage points from 28.17% a year earlier but down 4.43 percentage points from the prior quarter.
Brown & Brown (BRO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Brown & Brown's Return on Sales [ROS] was 28.67% through Jun 30, 2026, down 1.44 percentage points year-over-year; for FY2025 (ended Dec 31, 2025), it was 28.26%, down 2.87 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +2.12 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 31.13% in FY2024 (-0.25 pp), 31.38% in FY2023 (+2.92 pp), 28.46% in FY2022 (+1.33 pp) and 27.13% in FY2021 (+0.99 pp).
- Quarterly Return on Sales [ROS] has moved between 21.26% (fiscal Q4 2021) and 39.27% (fiscal Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -2.36 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2023 (a gain of 12.70 percentage points); the worst was fiscal Q4 2024 (a drop of 12.13 percentage points).
- Per Business Quant data, BRO's Return on Sales [ROS] in the three fiscal quarters before Q2 2026 was 33.25% (Q1 2026), 26.20% (Q4 2025) and 25.59% (Q3 2025).
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 | Brown & Brown | 19.77 Bn | 15.60 Bn | - | 28.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.82% |
| Mar 31, 2026 | 33.25% |
| Dec 31, 2025 | 26.20% |
| Sep 30, 2025 | 25.59% |
| Jun 30, 2025 | 28.17% |
| Mar 31, 2025 | 33.69% |
| Dec 31, 2024 | 27.13% |
| Sep 30, 2024 | 30.94% |
| Jun 30, 2024 | 33.53% |
| Mar 31, 2024 | 32.75% |
| Dec 31, 2023 | 39.27% |
| Sep 30, 2023 | 27.15% |
| Jun 30, 2023 | 28.84% |
| Mar 31, 2023 | 30.56% |
| Dec 31, 2022 | 26.57% |
| Sep 30, 2022 | 27.98% |
| Jun 30, 2022 | 27.96% |
| Mar 31, 2022 | 31.31% |
| Dec 31, 2021 | 21.26% |
| Sep 30, 2021 | 27.61% |
Brown & Brown 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=BRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BRO", "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=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();