Compass Diversified Holdings (CODI) Accumulated Expenses (2010 - 2026)
Compass Diversified Holdings (CODI) recorded Accumulated Expenses of $149.1 million in Q1 2026, down 54.3% from $326.32 million a year earlier and down 8.7% from the prior quarter.
Compass Diversified Holdings (CODI) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Compass Diversified Holdings reported Accumulated Expenses of $163.27 million, down 48.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $318.48 million in FY2024 (+33.9%), $237.82 million in FY2023 (+2.2%), $232.65 million in FY2022 (+30.3%) and $178.52 million in FY2021 (+33.0%).
- The Q1 2026 figure is the lowest quarterly Accumulated Expenses since Q4 2020.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 43.4% in Q2 2021, against a decline of 54.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $163.27 million (Q4 2025), $338.39 million (Q3 2025) and $311.87 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Compass Diversified Holdings | 774.93 Mn | 511.27 Mn | 189.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 149.10 Mn |
| Dec 31, 2025 | 163.27 Mn |
| Sep 30, 2025 | 338.39 Mn |
| Jun 30, 2025 | 311.87 Mn |
| Mar 31, 2025 | 326.32 Mn |
| Dec 31, 2024 | 318.48 Mn |
| Sep 30, 2024 | 301.16 Mn |
| Jun 30, 2024 | 267.97 Mn |
| Mar 31, 2024 | 250.83 Mn |
| Dec 31, 2023 | 237.82 Mn |
| Sep 30, 2023 | 237.35 Mn |
| Jun 30, 2023 | 225.12 Mn |
| Mar 31, 2023 | 240.95 Mn |
| Dec 31, 2022 | 232.65 Mn |
| Sep 30, 2022 | 242.57 Mn |
| Jun 30, 2022 | 207.14 Mn |
| Mar 31, 2022 | 190.65 Mn |
| Dec 31, 2021 | 178.52 Mn |
| Sep 30, 2021 | 187.04 Mn |
| Jun 30, 2021 | 177.96 Mn |
Compass Diversified Holdings Accumulated 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=accumulated-expenses&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();