Compass Diversified Holdings (CODI) Revenue (2010 - 2026)
Compass Diversified Holdings (CODI) posted Revenue of $426.86 million for Q1 2026, down 5.9% from $453.78 million a year earlier and down 8.9% from the prior quarter.
Compass Diversified Holdings (CODI) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Revenue at Compass Diversified Holdings was $1.85 billion, up 0.9% year-over-year; for FY2025, it was $1.87 billion, up 4.8% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior years, Compass Diversified Holdings' Revenue was $1.79 billion in FY2024 (+5.8%), $1.69 billion in FY2023 (-3.8%), $1.76 billion in FY2022 (+1.9%) and $1.72 billion in FY2021 (+19.1%).
- The Q1 2026 figure stands as the lowest quarterly Revenue since Q2 2024.
- On a year-over-year basis, Revenue increased in six of the last eight quarters, with growth averaging 4.6%.
- The strongest year-over-year quarter for Revenue in the past five years was Q2 2021, with growth of 36.1%; the weakest was Q4 2022, with a decline of 18.7%.
- According to Business Quant data, Revenue for the three prior quarters was $468.56 million (Q4 2025), $472.56 million (Q3 2025) and $478.69 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Compass Diversified Holdings | 820.82 Mn | 685.56 Mn | 189.36 Mn | 426.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 426.86 Mn |
| Dec 31, 2025 | 468.56 Mn |
| Sep 30, 2025 | 472.56 Mn |
| Jun 30, 2025 | 478.69 Mn |
| Mar 31, 2025 | 453.78 Mn |
| Dec 31, 2024 | 493.93 Mn |
| Sep 30, 2024 | 456.55 Mn |
| Jun 30, 2024 | 426.71 Mn |
| Mar 31, 2024 | 410.83 Mn |
| Dec 31, 2023 | 451.30 Mn |
| Sep 30, 2023 | 427.06 Mn |
| Jun 30, 2023 | 405.50 Mn |
| Mar 31, 2023 | 406.06 Mn |
| Dec 31, 2022 | 455.40 Mn |
| Sep 30, 2022 | 473.94 Mn |
| Jun 30, 2022 | 427.26 Mn |
| Mar 31, 2022 | 400.21 Mn |
| Dec 31, 2021 | 559.89 Mn |
| Sep 30, 2021 | 488.16 Mn |
| Jun 30, 2021 | 453.99 Mn |
Compass Diversified Holdings 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=revenue&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();