GameStop (GME) Land & Improvements (2010 - 2013)
GameStop (GME) posted Land & Improvements of $21.3 million for fiscal Q3 2014 (quarter ended Nov 2, 2013), down 4.1% from $22.2 million a year earlier but up 2.9% from the prior quarter.
GameStop (GME) Land & Improvements (2010 - 2013) Analysis & Trends
At the end of FY2013 (ended Feb 2, 2013), GameStop's Land & Improvements came in at $22.5 million, down 1.3% from FY2012.
- In prior fiscal years, GameStop's Land & Improvements was $22.8 million in FY2012 (-5.0%) and $24 million in FY2011.
- Quarterly Land & Improvements has run from a low of $13.5 million in fiscal Q2 2011 to a high of $25.7 million in fiscal Q1 2012 over five years.
- On a year-over-year basis, Land & Improvements has declined in each of the last eight quarters, with an average decline of 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Land & Improvements in the past five years was fiscal Q2 2012, with growth of 89.6%; the weakest was fiscal Q2 2013, with a decline of 13.7%.
- According to Business Quant data, Land & Improvements for the three prior fiscal quarters was $20.7 million (Q2 2014), $22.2 million (Q1 2014) and $22.5 million (Q4 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | - |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 1.84 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | - |
| 10 | GameStop | 11.32 Bn | -19.95 Bn | 345.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 2, 2013 | 21.30 Mn |
| Aug 3, 2013 | 20.70 Mn |
| May 4, 2013 | 22.20 Mn |
| Feb 2, 2013 | 22.50 Mn |
| Oct 27, 2012 | 22.20 Mn |
| Jul 28, 2012 | 22.10 Mn |
| Apr 28, 2012 | 22.40 Mn |
| Jan 28, 2012 | 22.80 Mn |
| Oct 29, 2011 | 25.00 Mn |
| Jul 30, 2011 | 25.60 Mn |
| Apr 30, 2011 | 25.70 Mn |
| Jan 29, 2011 | 24.00 Mn |
| Oct 30, 2010 | 24.30 Mn |
| Jul 31, 2010 | 13.50 Mn |
GameStop Land & Improvements 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=land-and-improvements&ticker=GME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();