Walmart (WMT) Land & Improvements (2009 - 2012)
Walmart (WMT) posted Land & Improvements of $23.5 billion for fiscal Q4 2012 (quarter ended Jan 31, 2012), down 3.6% from $24.39 billion a year earlier.
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Analysis
Walmart (WMT) Land & Improvements (2009 - 2012) Analysis & Trends
Since fiscal Q4 2009, Walmart has reported Land & Improvements for 4 quarters.
- Annual Land & Improvements shows a three-year compound annual growth rate of 5.8% (FY2009 to FY2012).
- In prior fiscal years, Walmart's Land & Improvements was $24.39 billion in FY2011 (+7.9%), $22.59 billion in FY2010 (+13.8%) and $19.85 billion in FY2009.
- The fiscal Q4 2012 figure stands as the lowest quarterly Land & Improvements since fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | - |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2012 | 23.50 Bn |
| Jan 31, 2011 | 24.39 Bn |
| Jan 31, 2010 | 22.59 Bn |
| Jan 31, 2009 | 19.85 Bn |
API Access
Walmart 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=WMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "WMT", "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=WMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();