Compass Diversified Holdings (CODI) Return on Sales [ROS] (2010 - 2026)
Compass Diversified Holdings (CODI) posted Return on Sales [ROS] of -0.45% for Q1 2026, down 1.21 percentage points from 0.76% a year earlier and down 10.26 percentage points from the prior quarter.
Compass Diversified Holdings (CODI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at Compass Diversified Holdings was 0.31%, up 0.27 percentage points year-over-year; for FY2025, it came in at 0.59%, up 1.42 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.80 percentage points (FY2020 to FY2025).
- In prior years, Compass Diversified Holdings' Return on Sales [ROS] was -0.83% in FY2024 (+3.28 pp), -4.11% in FY2023 (-6.64 pp), 2.53% in FY2022 (-4.61 pp) and 7.14% in FY2021 (+1.75 pp).
- Quarterly Return on Sales [ROS] has run from a low of -12.85% in Q4 2023 to a high of 9.81% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +2.61 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 13.57 percentage points; the weakest was Q4 2022, with a drop of 11.94 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 9.81% (Q4 2025), -2.34% (Q3 2025) and -5.69% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -4.98% |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 11.12% |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 28.22% |
| 10 | Compass Diversified Holdings | 774.93 Mn | 511.27 Mn | 189.36 Mn | -0.45% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -0.45% |
| Dec 31, 2025 | 9.81% |
| Sep 30, 2025 | -2.34% |
| Jun 30, 2025 | -5.69% |
| Mar 31, 2025 | 0.76% |
| Dec 31, 2024 | -3.76% |
| Sep 30, 2024 | 1.82% |
| Jun 30, 2024 | 1.75% |
| Mar 31, 2024 | -2.95% |
| Dec 31, 2023 | -12.85% |
| Sep 30, 2023 | -5.84% |
| Jun 30, 2023 | 2.11% |
| Mar 31, 2023 | 1.21% |
| Dec 31, 2022 | -4.86% |
| Sep 30, 2022 | 3.79% |
| Jun 30, 2022 | 7.54% |
| Mar 31, 2022 | 4.09% |
| Dec 31, 2021 | 7.07% |
| Sep 30, 2021 | 8.57% |
| Jun 30, 2021 | 9.40% |
Compass Diversified Holdings 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=CODI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CODI", "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=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();