Compass Diversified Holdings (CODI) Operating Expenses (2010 - 2026)
Compass Diversified Holdings (CODI) reported Operating Expenses of $132.01 million for Q1 2026, down 12.2% from $150.38 million a year earlier and down 21.8% from the prior quarter.
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Analysis
Compass Diversified Holdings (CODI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Compass Diversified Holdings' Operating Expenses came in at $642.31 million, up 7.0% year-over-year; for FY2025, it was $660.67 million, up 12.5% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $587.52 million in FY2024 (+17.0%), $502.01 million in FY2023 (+13.7%), $441.63 million in FY2022 (+5.6%) and $418.38 million in FY2021 (+16.3%).
- The Q1 2026 figure ranks as the lowest quarterly Operating Expenses since Q3 2023.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 11.4%.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 52.1%); the low point was Q4 2021 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $168.87 million (Q4 2025), $179.32 million (Q3 2025) and $162.11 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Compass Diversified Holdings | 820.82 Mn | 685.56 Mn | 189.36 Mn | 132.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 132.01 Mn |
| Dec 31, 2025 | 168.87 Mn |
| Sep 30, 2025 | 179.32 Mn |
| Jun 30, 2025 | 162.11 Mn |
| Mar 31, 2025 | 150.38 Mn |
| Dec 31, 2024 | 166.26 Mn |
| Sep 30, 2024 | 145.96 Mn |
| Jun 30, 2024 | 137.58 Mn |
| Mar 31, 2024 | 137.72 Mn |
| Dec 31, 2023 | 140.83 Mn |
| Sep 30, 2023 | 121.19 Mn |
| Jun 30, 2023 | 121.47 Mn |
| Mar 31, 2023 | 118.53 Mn |
| Dec 31, 2022 | 122.53 Mn |
| Sep 30, 2022 | 119.36 Mn |
| Jun 30, 2022 | 102.66 Mn |
| Mar 31, 2022 | 97.08 Mn |
| Dec 31, 2021 | 80.56 Mn |
| Sep 30, 2021 | 118.82 Mn |
| Jun 30, 2021 | 107.32 Mn |
API Access
Compass Diversified Holdings Operating Expenses 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=operating-expenses&ticker=CODI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();