Compass Diversified Holdings (CODI) Property, Plant & Equipment (Net) (2010 - 2026)
Compass Diversified Holdings (CODI) reported Property, Plant & Equipment (Net) of $190.8 million for Q1 2026, down 22.3% from $245.61 million a year earlier and down 9.0% from the prior quarter.
Compass Diversified Holdings (CODI) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Compass Diversified Holdings posted Property, Plant & Equipment (Net) of $209.74 million, down 14.3% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $244.75 million in FY2024 (+27.9%), $191.28 million in FY2023 (+4.3%), $183.4 million in FY2022 (-1.7%) and $186.48 million in FY2021 (+21.4%).
- The Q1 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year over year, Property, Plant & Equipment (Net) gained in four of the last eight quarters, with growth averaging 6.5%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2025 (growth of 28.8%); the low point was Q1 2026 (a decline of 22.3%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $209.74 million (Q4 2025), $214.45 million (Q3 2025) and $216.59 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.05 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 502.10 Mn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 655.80 Mn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 1.32 Bn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | 674.54 Mn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 464.29 Mn |
| 10 | Compass Diversified Holdings | 776.44 Mn | 641.17 Mn | 189.36 Mn | 190.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 190.80 Mn |
| Dec 31, 2025 | 209.74 Mn |
| Sep 30, 2025 | 214.45 Mn |
| Jun 30, 2025 | 216.59 Mn |
| Mar 31, 2025 | 245.61 Mn |
| Dec 31, 2024 | 244.75 Mn |
| Sep 30, 2024 | 185.13 Mn |
| Jun 30, 2024 | 179.77 Mn |
| Mar 31, 2024 | 190.73 Mn |
| Dec 31, 2023 | 191.28 Mn |
| Sep 30, 2023 | 185.34 Mn |
| Jun 30, 2023 | 188.08 Mn |
| Mar 31, 2023 | 187.20 Mn |
| Dec 31, 2022 | 183.40 Mn |
| Sep 30, 2022 | 171.32 Mn |
| Jun 30, 2022 | 167.22 Mn |
| Mar 31, 2022 | 164.28 Mn |
| Dec 31, 2021 | 186.48 Mn |
| Sep 30, 2021 | 169.51 Mn |
| Jun 30, 2021 | 176.23 Mn |
Compass Diversified Holdings Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();