Compass Diversified Holdings (CODI) Cost of Revenue (2010 - 2026)
Compass Diversified Holdings' Cost of Revenue was $237.5 million in Q1 2026, down 7.9% from $257.74 million a year earlier and down 10.9% from the prior quarter.
Compass Diversified Holdings (CODI) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Compass Diversified Holdings' Cost of Revenue was $1.04 billion through Mar 31, 2026, down 1.9% year-over-year; for FY2025, it came in at $1.06 billion, up 2.1% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.04 billion in FY2024 (+2.2%), $1.02 billion in FY2023 (-8.3%), $1.11 billion in FY2022 (+4.3%) and $1.06 billion in FY2021 (+16.2%).
- The Q1 2026 figure marks the lowest quarterly Cost of Revenue since Q1 2024.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 2.0%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 22.3%); the worst was Q3 2023 (a decline of 14.0%).
- Per Business Quant data, CODI's Cost of Revenue in the three quarters before Q1 2026 was $266.45 million (Q4 2025), $264.85 million (Q3 2025) and $270.15 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | Compass Diversified Holdings | 822.33 Mn | 687.07 Mn | 189.36 Mn | 237.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 237.50 Mn |
| Dec 31, 2025 | 266.45 Mn |
| Sep 30, 2025 | 264.85 Mn |
| Jun 30, 2025 | 270.15 Mn |
| Mar 31, 2025 | 257.74 Mn |
| Dec 31, 2024 | 303.28 Mn |
| Sep 30, 2024 | 259.92 Mn |
| Jun 30, 2024 | 238.52 Mn |
| Mar 31, 2024 | 235.87 Mn |
| Dec 31, 2023 | 272.75 Mn |
| Sep 30, 2023 | 259.01 Mn |
| Jun 30, 2023 | 237.88 Mn |
| Mar 31, 2023 | 245.57 Mn |
| Dec 31, 2022 | 290.52 Mn |
| Sep 30, 2022 | 301.08 Mn |
| Jun 30, 2022 | 262.05 Mn |
| Mar 31, 2022 | 253.73 Mn |
| Dec 31, 2021 | 243.62 Mn |
| Sep 30, 2021 | 296.03 Mn |
| Jun 30, 2021 | 257.96 Mn |
Compass Diversified Holdings Cost of Revenue 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=cost-of-revenue&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();