Compass Diversified Holdings (CODI) Depreciation and Depletion (2010 - 2026)
Compass Diversified Holdings (CODI) reported Depreciation and Depletion of $11.9 million for Q1 2026, down 3.2% from $12.3 million a year earlier but up 7.6% from the prior quarter.
Compass Diversified Holdings (CODI) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Compass Diversified Holdings' Depreciation and Depletion came in at $44.97 million, down 1.1% year-over-year; for FY2025, it came in at $45.31 million, up 3.2% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $43.9 million in FY2024 (-4.6%), $46 million in FY2023 (+16.5%), $39.5 million in FY2022 (+11.3%) and $35.5 million in FY2021 (+6.6%).
- Five-year quarterly Depreciation and Depletion spans a low of $6.6 million in Q4 2021 and a high of $12.65 million in Q4 2024.
- Year over year, Depreciation and Depletion gained in four of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2022 (growth of 60.2%); the low point was Q4 2021 (a decline of 25.0%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $11.07 million (Q4 2025), $10.9 million (Q3 2025) and $11.1 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.49 Bn | 21.70 Bn | 4.80 Bn | - |
| 2 | Ralph Lauren | 22.72 Bn | 14.81 Bn | 1.44 Bn | 56.50 Mn |
| 3 | Tapestry | 22.60 Bn | 18.55 Bn | 1.56 Bn | - |
| 4 | Deckers Outdoor | 11.54 Bn | 4.42 Bn | - | - |
| 5 | Lululemon Athletica | 11.16 Bn | 5.42 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.17 Bn | 4.76 Bn | 1.07 Bn | - |
| 7 | V F | 6.72 Bn | 3.34 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | - |
| 10 | Compass Diversified Holdings | 778.69 Mn | 515.03 Mn | 189.36 Mn | 11.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 11.07 Mn |
| Sep 30, 2025 | 10.90 Mn |
| Jun 30, 2025 | 11.10 Mn |
| Mar 31, 2025 | 12.30 Mn |
| Dec 31, 2024 | 12.65 Mn |
| Sep 30, 2024 | 10.20 Mn |
| Jun 30, 2024 | 10.30 Mn |
| Mar 31, 2024 | 10.73 Mn |
| Dec 31, 2023 | 11.18 Mn |
| Sep 30, 2023 | 12.00 Mn |
| Jun 30, 2023 | 12.10 Mn |
| Mar 31, 2023 | 11.01 Mn |
| Dec 31, 2022 | 10.57 Mn |
| Sep 30, 2022 | 10.80 Mn |
| Jun 30, 2022 | 10.40 Mn |
| Mar 31, 2022 | 9.32 Mn |
| Dec 31, 2021 | 6.60 Mn |
| Sep 30, 2021 | 10.40 Mn |
| Jun 30, 2021 | 8.90 Mn |
Compass Diversified Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();