Ross Stores (ROST) Long-Term Investments (2009 - 2019)
Ross Stores (ROST) posted Long-Term Investments of $125,000 for fiscal Q4 2019 (quarter ended Feb 2, 2019), down 82.4% from $712,000 a year earlier and down 73.7% from the prior quarter.
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Analysis
Ross Stores (ROST) Long-Term Investments (2009 - 2019) Analysis & Trends
Since fiscal Q1 2010, Ross Stores has reported Long-Term Investments for 40 quarters.
- Annual Long-Term Investments has declined for nine consecutive fiscal years, with a five-year compound annual growth rate of -49.2% (FY2014 to FY2019).
- In prior fiscal years, Ross Stores' Long-Term Investments was $712,000 in FY2018 (-44.7%), $1.29 million in FY2017 (-3.2%), $1.33 million in FY2016 (-57.2%) and $3.11 million in FY2015 (-16.2%).
- The fiscal Q4 2019 figure stands as the lowest quarterly Long-Term Investments in data going back to fiscal Q1 2010.
- On a year-over-year basis, Long-Term Investments has declined in each of the last 36 quarters, with an average decline of 38.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Long-Term Investments ranged from 3.2% (fiscal Q4 2017) to 82.4% (fiscal Q4 2019).
- According to Business Quant data, Long-Term Investments for the three prior fiscal quarters was $475,000 (Q3 2019), $709,000 (Q2 2019) and $709,000 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 179.00 Mn |
| 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 | 119.90 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 5.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 2, 2019 | 125,000.00 |
| Nov 3, 2018 | 475,000.00 |
| Aug 4, 2018 | 709,000.00 |
| May 5, 2018 | 709,000.00 |
| Feb 3, 2018 | 712,000.00 |
| Oct 28, 2017 | 715,000.00 |
| Jul 29, 2017 | 1.26 Mn |
| Apr 29, 2017 | 1.27 Mn |
| Jan 28, 2017 | 1.29 Mn |
| Oct 29, 2016 | 1.32 Mn |
| Jul 30, 2016 | 1.33 Mn |
| Apr 30, 2016 | 1.33 Mn |
| Jan 30, 2016 | 1.33 Mn |
| Oct 31, 2015 | 2.19 Mn |
| Aug 1, 2015 | 2.61 Mn |
| May 2, 2015 | 3.14 Mn |
| Jan 31, 2015 | 3.11 Mn |
| Nov 1, 2014 | 3.63 Mn |
| Aug 2, 2014 | 3.66 Mn |
| May 3, 2014 | 3.67 Mn |
API Access
Ross Stores Long-Term Investments 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=long-term-investments&ticker=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();