Compass (COMP) Return on Sales [ROS] (2020 - 2026)
Compass' Return on Sales [ROS] came in at 2.88% for Q2 2026, up 0.99 percentage points from 1.89% a year earlier and up 15.86 percentage points from the prior quarter.
Compass (COMP) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Compass reported Return on Sales [ROS] of -2.62%, down 1.68 percentage points year-over-year; for FY2025, it was -0.91%, up 1.84 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +6.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -2.75% in FY2024 (+3.70 pp), -6.45% in FY2023 (+3.35 pp), -9.79% in FY2022 (-2.12 pp) and -7.68% in FY2021 (-0.33 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +1.10 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2025 (a gain of 8.55 percentage points), and the weakest in Q1 2026 (a drop of 9.00 percentage points).
- Business Quant data shows COMP's Return on Sales [ROS] at -12.98% (Q1 2026), -2.46% (Q4 2025) and -0.39% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.39 Bn | 11.20 Bn | 1.03 Bn | 12.33% |
| 2 | Cbre | 35.57 Bn | 29.33 Bn | 2.13 Bn | 4.87% |
| 3 | Jones Lang Lasalle | 13.81 Bn | 12.03 Bn | - | 4.20% |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 2.88% |
| 5 | Colliers International | 4.75 Bn | 3.82 Bn | 635.11 Mn | 6.26% |
| 6 | Cushman & Wakefield | 2.77 Bn | 250.13 Mn | 512.00 Mn | 4.86% |
| 7 | Newmark | 1.83 Bn | 1.21 Bn | - | 4.55% |
| 8 | Marcus & Millichap | 1.04 Bn | 139.90 Mn | - | 1.09% |
| 9 | Agnt | 691.87 Mn | 221.55 Mn | 98.80 Mn | 0.11% |
| 10 | Rmr | 560.76 Mn | 485.22 Mn | - | -6.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.88% |
| Mar 31, 2026 | -12.98% |
| Dec 31, 2025 | -2.46% |
| Sep 30, 2025 | -0.39% |
| Jun 30, 2025 | 1.89% |
| Mar 31, 2025 | -3.98% |
| Dec 31, 2024 | -2.94% |
| Sep 30, 2024 | -0.23% |
| Jun 30, 2024 | 1.25% |
| Mar 31, 2024 | -12.53% |
| Dec 31, 2023 | -7.57% |
| Sep 30, 2023 | -2.91% |
| Jun 30, 2023 | -2.99% |
| Mar 31, 2023 | -15.50% |
| Dec 31, 2022 | -13.80% |
| Sep 30, 2022 | -10.16% |
| Jun 30, 2022 | -4.92% |
| Mar 31, 2022 | -13.28% |
| Dec 31, 2021 | -10.68% |
| Sep 30, 2021 | -5.76% |
Compass 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=COMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "COMP", "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=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();