Compass Diversified Holdings (CODI) Non Operating Interest Expenses (2010 - 2014)
Compass Diversified Holdings (CODI) reported Non Operating Interest Expenses of $4.58 million for Q1 2014, down 14.2% from $5.34 million a year earlier and down 4.1% from the prior quarter.
Compass Diversified Holdings (CODI) Non Operating Interest Expenses (2010 - 2014) Analysis & Trends
Over the twelve months ended Mar 31, 2014, Compass Diversified Holdings' Non Operating Interest Expenses came in at $18.66 million, down 20.7% year-over-year; for FY2013, it was $19.42 million, down 22.5% from FY2012.
- Non Operating Interest Expenses has a four-year compound annual growth rate of 18.4% (FY2009 to FY2013).
- By year, Non Operating Interest Expenses came in at $25.06 million in FY2012 (+98.2%), $12.64 million in FY2011 (+30.4%), $9.7 million in FY2010 (-2.0%) and $9.89 million in FY2009.
- Five-year quarterly Non Operating Interest Expenses spans a low of $1.21 million in Q4 2010 and a high of $6.85 million in Q2 2012.
- Year over year, Non Operating Interest Expenses gained in three of the last eight quarters, with growth averaging 38.7%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2011 (growth of 441.2%); the low point was Q2 2013 (a decline of 38.4%).
- Per Business Quant data, the three quarters before Q1 2014 came in at $4.78 million (Q4 2013), $5.08 million (Q3 2013) and $4.22 million (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 19.91 Mn |
| 10 | Compass Diversified Holdings | 820.82 Mn | 685.56 Mn | 189.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 4.58 Mn |
| Dec 31, 2013 | 4.78 Mn |
| Sep 30, 2013 | 5.08 Mn |
| Jun 30, 2013 | 4.22 Mn |
| Mar 31, 2013 | 5.34 Mn |
| Dec 31, 2012 | 6.25 Mn |
| Sep 30, 2012 | 5.07 Mn |
| Jun 30, 2012 | 6.85 Mn |
| Mar 31, 2012 | 6.03 Mn |
| Dec 31, 2011 | 6.54 Mn |
| Sep 30, 2011 | 2.16 Mn |
| Jun 30, 2011 | 1.87 Mn |
| Mar 31, 2011 | 2.08 Mn |
| Dec 31, 2010 | 1.21 Mn |
| Sep 30, 2010 | 2.93 Mn |
| Jun 30, 2010 | 2.86 Mn |
Compass Diversified Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=CODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();