Compass Diversified Holdings (CODI) EV to EBIT (2012 - 2026)
Compass Diversified Holdings' (CODI) EV to EBIT stood at 114.83 in Q1 2026, down 92.8% from 1604.90 a year earlier but up 200.3% from the prior quarter.
Compass Diversified Holdings (CODI) EV to EBIT (2012 - 2026) Analysis & Trends
On a TTM basis, Compass Diversified Holdings' EV to EBIT came in at 79.47 as of Mar 31, 2026, down 94.0% year-over-year; for FY2025, it came in at 36.92.
- Across earlier years, EV to EBIT came in at 28.74 in FY2022 (+67.3%) and 17.18 in FY2021 (+1.1%).
- Quarterly EV to EBIT has ranged from 11.04 in Q2 2022 to 1604.90 in Q1 2025 over the past five years.
- Peak year-over-year performance for EV to EBIT in the last five years was growth of 260.2% in Q1 2023, against a decline of 92.8% in Q1 2026 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.73 Bn | 21.93 Bn | 4.80 Bn |
| 2 | Tapestry | 23.85 Bn | 19.80 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.94 Bn | 15.04 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.34 Bn | 5.21 Bn | - |
| 5 | Lululemon Athletica | 10.97 Bn | 5.22 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.18 Bn | 4.76 Bn | 1.07 Bn |
| 7 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.51 Bn | 5.43 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn |
| 10 | Compass Diversified Holdings | 777.94 Mn | 514.28 Mn | 189.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 114.83 |
| Dec 31, 2025 | 38.23 |
| Mar 31, 2025 | 1,604.90 |
| Jun 30, 2023 | 159.68 |
| Mar 31, 2023 | 40.31 |
| Dec 31, 2022 | 28.74 |
| Sep 30, 2022 | 12.11 |
| Jun 30, 2022 | 11.04 |
| Mar 31, 2022 | 11.19 |
| Dec 31, 2021 | 12.83 |
| Sep 30, 2021 | 13.08 |
| Jun 30, 2021 | 12.89 |
| Mar 31, 2021 | 17.19 |
| Dec 31, 2020 | 24.05 |
| Sep 30, 2020 | 18.86 |
| Jun 30, 2020 | 28.22 |
| Mar 31, 2020 | 11.03 |
| Dec 31, 2019 | 23.91 |
| Sep 30, 2019 | 18.19 |
| Jun 30, 2019 | 9.53 |
Compass Diversified Holdings EV to EBIT 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=ev-to-ebit&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();