Lowes Companies (LOW) Accumulated Expenses (2009 - 2013)
Lowes Companies' Accumulated Expenses came in at $316 million for fiscal Q4 2013 (quarter ended Feb 1, 2013), down 0.6% from $318 million a year earlier.
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Analysis
Lowes Companies (LOW) Accumulated Expenses (2009 - 2013) Analysis & Trends
Going back to fiscal Q4 2009, Lowes Companies' Accumulated Expenses data covers 7 quarters.
- Accumulated Expenses carries a four-year compound annual growth rate of -19.5% (FY2009 to FY2013).
- Going back by fiscal year, Accumulated Expenses was $318 million in FY2012 (+2.3%), $311 million in FY2011 (+3.7%), $300 million in FY2010 (-60.1%) and $751 million in FY2009.
- The fiscal Q4 2013 figure represents the lowest quarterly Accumulated Expenses since fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 1, 2013 | 316.00 Mn |
| Feb 3, 2012 | 318.00 Mn |
| Jan 28, 2011 | 311.00 Mn |
| Jan 29, 2010 | 300.00 Mn |
| Oct 30, 2009 | 780.00 Mn |
| Jul 31, 2009 | 784.00 Mn |
| Jan 30, 2009 | 751.00 Mn |
API Access
Lowes Companies Accumulated 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=accumulated-expenses&ticker=LOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LOW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();