Ross Stores (ROST) Interest Expenses (2009 - 2013)
Ross Stores (ROST) recorded Interest Expenses of -$152,000 in fiscal Q3 2014 (quarter ended Nov 2, 2013), compared with $1.64 million a year earlier.
Ross Stores (ROST) Interest Expenses (2009 - 2013) Analysis & Trends
On a TTM basis, Ross Stores' 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 Interest Expenses has a four-year compound annual growth rate of 157.5% (FY2009 to FY2013).
- Across earlier fiscal years, 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 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, Interest Expenses rose in 1 of the last six quarters, with an average decline of 35.6%.
- Peak year-over-year performance for 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 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
| 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 |
Ross Stores 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=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();