Compass Diversified Holdings (CODI) Total Current Liabilities (2010 - 2026)
Compass Diversified Holdings (CODI) reported Total Current Liabilities of $338.99 million for Q1 2026, down 86.6% from $2.54 billion a year earlier and down 3.0% from the prior quarter.
Compass Diversified Holdings (CODI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Compass Diversified Holdings posted Total Current Liabilities of $349.62 million, down 85.6% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $2.43 billion in FY2024 (+12.6%), $2.16 billion in FY2023 (+372.8%), $457.05 million in FY2022 (+26.4%) and $361.62 million in FY2021 (+22.7%).
- The Q1 2026 figure ranks as the lowest quarterly Total Current Liabilities since Q2 2021.
- Year over year, Total Current Liabilities gained in six of the last eight quarters, with an average decline of 14.7%.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2023 (growth of 424.6%); the low point was Q1 2026 (a decline of 86.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $349.62 million (Q4 2025), $2.6 billion (Q3 2025) and $2.54 billion (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 11.41 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 1.99 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.95 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 2.35 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 569.59 Mn |
| 10 | Compass Diversified Holdings | 774.93 Mn | 511.27 Mn | 189.36 Mn | 338.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 338.99 Mn |
| Dec 31, 2025 | 349.62 Mn |
| Sep 30, 2025 | 2.60 Bn |
| Jun 30, 2025 | 2.54 Bn |
| Mar 31, 2025 | 2.54 Bn |
| Dec 31, 2024 | 2.43 Bn |
| Sep 30, 2024 | 2.39 Bn |
| Jun 30, 2024 | 2.28 Bn |
| Mar 31, 2024 | 2.23 Bn |
| Dec 31, 2023 | 2.16 Bn |
| Sep 30, 2023 | 2.29 Bn |
| Jun 30, 2023 | 2.21 Bn |
| Mar 31, 2023 | 460.78 Mn |
| Dec 31, 2022 | 457.05 Mn |
| Sep 30, 2022 | 469.18 Mn |
| Jun 30, 2022 | 421.87 Mn |
| Mar 31, 2022 | 390.42 Mn |
| Dec 31, 2021 | 361.62 Mn |
| Sep 30, 2021 | 343.83 Mn |
| Jun 30, 2021 | 313.15 Mn |
Compass Diversified Holdings Total Current Liabilities 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=total-current-liabilities&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();