Crocs (CROX) Restructuring Costs (2014 - 2015)
Crocs (CROX) reported Restructuring Costs of $1.27 million for Q4 2015, down 80.8% from $6.64 million a year earlier but up 29.9% from the prior quarter.
Analysis
Crocs (CROX) Restructuring Costs (2014 - 2015) Analysis & Trends
For FY2015, Crocs posted Restructuring Costs of $8.73 million, down 64.4% from FY2014.
- Restructuring Costs has a five-year compound annual growth rate of 28.0% (FY2010 to FY2015).
- By year, Restructuring Costs came in at $24.52 million in FY2014.
- Five-year quarterly Restructuring Costs spans a low of $981,000 in Q3 2015 and a high of $7.59 million in Q3 2014.
- Year over year, Restructuring Costs has now declined in each of the last three quarters, with an average decline of 34.0% over the last four quarters.
- Per Business Quant data, the three quarters before Q4 2015 came in at $981,000 (Q3 2015), $2.81 million (Q2 2015) and $3.66 million (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 1.27 Mn |
| Sep 30, 2015 | 981,000.00 |
| Jun 30, 2015 | 2.81 Mn |
| Mar 31, 2015 | 3.66 Mn |
| Dec 31, 2014 | 6.64 Mn |
| Sep 30, 2014 | 7.59 Mn |
| Jun 30, 2014 | 4.06 Mn |
| Mar 31, 2014 | 2.25 Mn |
API Access
Crocs Restructuring Costs 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=restructuring-costs&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "CROX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();