Re (RMAX) Return on Sales [ROS] (2012 - 2026)
Re (RMAX) posted Return on Sales [ROS] of 2.21% for Q2 2026, down 17.09 percentage points from 19.31% a year earlier but up 13.35 percentage points from the prior quarter.
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Analysis
Re (RMAX) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Re was 7.53%, down 5.51 percentage points year-over-year; for FY2025, it was 16.13%, up 3.07 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +1.62 percentage points (FY2020 to FY2025).
- In prior years, Re's Return on Sales [ROS] was 13.06% in FY2024 (+16.33 pp), -3.27% in FY2023 (-14.08 pp), 10.81% in FY2022 (+13.83 pp) and -3.01% in FY2021 (-17.52 pp).
- Quarterly Return on Sales [ROS] has run from a low of -41.29% in Q3 2021 to a high of 25.00% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +5.16 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 47.18 percentage points; the weakest was Q3 2021, with a drop of 56.68 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -11.14% (Q1 2026), 13.10% (Q4 2025) and 25.00% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 3.25% |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 12.33% |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 4.20% |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | 2.88% |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 0.05% |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 4.86% |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 4.55% |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | 1.09% |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 0.11% |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | 2.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21% |
| Mar 31, 2026 | -11.14% |
| Dec 31, 2025 | 13.10% |
| Sep 30, 2025 | 25.00% |
| Jun 30, 2025 | 19.31% |
| Mar 31, 2025 | 7.21% |
| Dec 31, 2024 | 5.89% |
| Sep 30, 2024 | 19.38% |
| Jun 30, 2024 | 20.62% |
| Mar 31, 2024 | 5.78% |
| Dec 31, 2023 | -12.66% |
| Sep 30, 2023 | -25.85% |
| Jun 30, 2023 | 15.95% |
| Mar 31, 2023 | 8.09% |
| Dec 31, 2022 | 10.42% |
| Sep 30, 2022 | 5.89% |
| Jun 30, 2022 | 18.35% |
| Mar 31, 2022 | 8.35% |
| Dec 31, 2021 | 11.71% |
| Sep 30, 2021 | -41.29% |
API Access
Re 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=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RMAX", "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=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();