Ulta Beauty (ULTA) Non Operating Interest Expenses (2009 - 2013)
Ulta Beauty (ULTA) reported Non Operating Interest Expenses of $21,000 for fiscal Q4 2013 (quarter ended Feb 2, 2013), down 76.9% from $91,000 a year earlier and down 46.2% from the prior quarter.
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Analysis
Ulta Beauty (ULTA) Non Operating Interest Expenses (2009 - 2013) Analysis & Trends
For FY2013 (ended Feb 2, 2013), Ulta Beauty posted Non Operating Interest Expenses of $185,000, down 68.5% from FY2012.
- Non Operating Interest Expenses has declined for three consecutive fiscal years, with a three-year compound annual growth rate of -56.2% (FY2010 to FY2013).
- By fiscal year, Non Operating Interest Expenses came in at $587,000 in FY2012 (-22.3%), $755,000 in FY2011 (-65.7%) and $2.2 million in FY2010.
- Five-year quarterly Non Operating Interest Expenses spans a low of $21,000 in fiscal Q1 2013 and a high of $244,000 in fiscal Q3 2011.
- Year over year, Non Operating Interest Expenses has now declined in each of the last seven quarters, with an average decline of 41.7% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2012 (growth of 46.6%); the low point was fiscal Q1 2013 (a decline of 87.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2013 came in at $39,000 (Q3 2013), $104,000 (Q2 2013) and $21,000 (Q1 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 1.69 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 98.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | - |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 98.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 81.85 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Ulta Beauty | 28.44 Bn | 27.31 Bn | 1.19 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 2, 2013 | 21,000.00 |
| Oct 27, 2012 | 39,000.00 |
| Jul 28, 2012 | 104,000.00 |
| Apr 28, 2012 | 21,000.00 |
| Jan 28, 2012 | 91,000.00 |
| Oct 29, 2011 | 176,000.00 |
| Jul 30, 2011 | 147,000.00 |
| Apr 30, 2011 | 173,000.00 |
| Jan 29, 2011 | 179,000.00 |
| Oct 30, 2010 | 244,000.00 |
| Jul 31, 2010 | 214,000.00 |
| May 1, 2010 | 118,000.00 |
| Jan 30, 2010 | 445,000.00 |
| Oct 31, 2009 | 441,000.00 |
| Aug 1, 2009 | 645,000.00 |
| May 2, 2009 | 671,000.00 |
| Jan 31, 2009 | 888,000.00 |
API Access
Ulta Beauty Non Operating 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=non-operating-interest-expenses&ticker=ULTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ULTA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=ULTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();