Genesco (GCO) Restructuring Costs (2011 - 2013)
Genesco (GCO) recorded Restructuring Costs of $16.14 million in fiscal Q4 2013 (quarter ended Feb 2, 2013), compared with $741,000 a year earlier.
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Analysis
Genesco (GCO) Restructuring Costs (2011 - 2013) Analysis & Trends
For FY2013 (ended Feb 2, 2013), Genesco reported Restructuring Costs of $17.04 million, up 536.4% from FY2012.
- Annual Restructuring Costs has a three-year compound annual growth rate of 8.4% (FY2010 to FY2013).
- Across earlier fiscal years, Restructuring Costs came in at $2.68 million in FY2012 (-68.8%), $8.57 million in FY2011 (-35.9%) and $13.36 million in FY2010.
- The fiscal Q4 2013 figure is the highest quarterly Restructuring Costs in data going back to fiscal Q1 2012.
- Per Business Quant, the preceding three fiscal quarters came in at $357,000 (Q3 2013), $404,000 (Q2 2013) and $135,000 (Q1 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Genesco | 373.51 Mn | 156.82 Mn | 272.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 2, 2013 | 16.14 Mn |
| Oct 27, 2012 | 357,000.00 |
| Jul 28, 2012 | 404,000.00 |
| Apr 28, 2012 | 135,000.00 |
| Jan 28, 2012 | 741,000.00 |
| Oct 29, 2011 | 345,000.00 |
| Jul 30, 2011 | 347,000.00 |
| Apr 30, 2011 | 1.24 Mn |
API Access
Genesco 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=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "GCO", "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=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();