Shoe Station (SHOE) Change in Accured Expenses (2011 - 2012)
Shoe Station's Change in Accured Expenses came in at $17.1 million for fiscal Q2 2013 (quarter ended Jul 28, 2012), down 7.0% from $18.39 million a year earlier but up 32.3% from the prior quarter.
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Analysis
Shoe Station (SHOE) Change in Accured Expenses (2011 - 2012) Analysis & Trends
Over the trailing twelve months to Jul 28, 2012, Shoe Station reported Change in Accured Expenses of $50.67 million.
- The five-year range for quarterly Change in Accured Expenses is $2.25 million (fiscal Q1 2012) to $18.39 million (fiscal Q2 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Shoe Station | 341.97 Mn | -157.41 Mn | 90.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 28, 2012 | 17.10 Mn |
| Apr 28, 2012 | 12.93 Mn |
| Jul 30, 2011 | 18.39 Mn |
| Apr 30, 2011 | 2.25 Mn |
API Access
Shoe Station Change in Accured Expenses 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=change-in-accured-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SHOE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();