Lowes Companies (LOW) Interest Expenses (2009 - 2011)
Lowes Companies' Interest Expenses came in at $86 million for fiscal Q4 2011 (quarter ended Jan 28, 2011), up 53.6% from $56 million a year earlier and up 7.5% from the prior quarter.
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Analysis
Lowes Companies (LOW) Interest Expenses (2009 - 2011) Analysis & Trends
For FY2011 (ended Jan 28, 2011), Lowes Companies' Interest Expenses was $332 million, up 15.7% from FY2010.
- Going back by fiscal year, Interest Expenses was $287 million in FY2010 (+2.5%) and $280 million in FY2009.
- Year-over-year, Interest Expenses has increased for three consecutive quarters, with growth averaging 12.0% over the last four quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -103.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 28, 2011 | 86.00 Mn |
| Oct 29, 2010 | 80.00 Mn |
| Jul 30, 2010 | 84.00 Mn |
| Jan 29, 2010 | 56.00 Mn |
| Oct 30, 2009 | 77.00 Mn |
| Jul 31, 2009 | 76.00 Mn |
| Jan 30, 2009 | 70.00 Mn |
API Access
Lowes Companies Interest 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=interest-expenses&ticker=LOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();