Ross Stores (ROST) Non Operating Interest Expenses (2009 - 2013)
Ross Stores (ROST) recorded Non Operating Interest Expenses of -$152,000 in fiscal Q3 2014 (quarter ended Nov 2, 2013), compared with $1.64 million a year earlier.
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Analysis
Ross Stores (ROST) Non Operating Interest Expenses (2009 - 2013) Analysis & Trends
On a TTM basis, Ross Stores' Non Operating Interest Expenses came in at $828,000 as of Nov 2, 2013, down 90.4% year-over-year; for FY2013 (ended Feb 2, 2013), it was $6.91 million, down 33.1% from FY2012.
- Annual Non Operating Interest Expenses has a four-year compound annual growth rate of 157.5% (FY2009 to FY2013).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $10.32 million in FY2012 (+7.9%), $9.57 million in FY2011 (+26.0%), $7.59 million in FY2010 and $157,000 in FY2009.
- Quarterly Non Operating Interest Expenses has ranged from -$2.6 million in fiscal Q4 2010 to $2.69 million in fiscal Q4 2012 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in 1 of the last six quarters, with an average decline of 35.6%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 14.9% in fiscal Q3 2012, against a decline of 90.6% in fiscal Q1 2014 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$175,000 (Q2 2014), $209,000 (Q1 2014) and $946,000 (Q4 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 101.00 Mn |
| 10 | JD.com | 36.71 Bn | -83.49 Bn | 8.71 Bn | -104.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 2, 2013 | -152,000.00 |
| Aug 3, 2013 | -175,000.00 |
| May 4, 2013 | 209,000.00 |
| Feb 2, 2013 | 946,000.00 |
| Oct 27, 2012 | 1.64 Mn |
| Jul 28, 2012 | 2.09 Mn |
| Apr 28, 2012 | 2.23 Mn |
| Jan 28, 2012 | 2.69 Mn |
| Oct 29, 2011 | 2.57 Mn |
| Jul 30, 2011 | 2.57 Mn |
| Apr 30, 2011 | 2.50 Mn |
| Jan 29, 2011 | 2.51 Mn |
| Oct 30, 2010 | 2.23 Mn |
| Jul 31, 2010 | 2.44 Mn |
| May 1, 2010 | 2.39 Mn |
| Jan 30, 2010 | -2.60 Mn |
| Oct 31, 2009 | -1.94 Mn |
| Aug 1, 2009 | -1.39 Mn |
| May 2, 2009 | -1.66 Mn |
API Access
Ross Stores 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=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ROST", "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=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();