GameStop (GME) Restructuring Costs (2009 - 2012)
GameStop's Restructuring Costs was $33.8 million in FY2017 (year ended Jan 28, 2017), up 634.8% from $4.6 million in FY2016.
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Analysis
GameStop (GME) Restructuring Costs (2009 - 2012) Analysis & Trends
From FY2009 onward, GameStop has reported Restructuring Costs for 9 fiscal years.
- Restructuring Costs shows a five-year compound annual growth rate of -16.1% (FY2012 to FY2017).
- The FY2017 figure marks the highest annual Restructuring Costs since FY2013.
- Per Business Quant data, Restructuring Costs in earlier fiscal years was $4.6 million in FY2016 (+109.1%), $2.2 million in FY2015 (-88.1%), $18.5 million in FY2014 (-65.5%) and $53.7 million in FY2013 (-33.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | GameStop | 11.85 Bn | -19.42 Bn | 345.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 28, 2012 | 81.20 Mn |
| Oct 29, 2011 | 81.20 Mn |
| Jan 30, 2010 | 1.80 Mn |
| Jan 31, 2009 | -12.01 Mn |
API Access
GameStop 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=GME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "GME", "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=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();