Citi Trends (CTRN) Long-Term Investments (2011 - 2020)
Citi Trends' Long-Term Investments was $15.68 million in fiscal Q4 2020 (quarter ended Feb 1, 2020), up 76.5% from $8.88 million a year earlier but down 3.7% from the prior quarter.
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Analysis
Citi Trends (CTRN) Long-Term Investments (2011 - 2020) Analysis & Trends
From fiscal Q4 2011 onward, Citi Trends has reported Long-Term Investments for 36 quarters.
- Long-Term Investments shows a five-year compound annual growth rate of -6.9% (FY2015 to FY2020).
- In earlier fiscal years, Long-Term Investments was $8.88 million in FY2019 (-65.1%), $25.45 million in FY2018 (-4.6%), $26.69 million in FY2017 (-13.6%) and $30.89 million in FY2016 (+37.6%).
- Quarterly Long-Term Investments has moved between $7.78 million (fiscal Q1 2020) and $36.51 million (fiscal Q2 2016) over five years.
- Compared with a year earlier, Long-Term Investments has increased for three straight quarters, with an average decline of 11.6% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q2 2016 (growth of 101.3%); the worst was fiscal Q4 2019 (a decline of 65.1%).
- Per Business Quant data, CTRN's Long-Term Investments in the three fiscal quarters before Q4 2020 was $16.27 million (Q3 2020), $16.98 million (Q2 2020) and $7.78 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,838.51 Bn | 2,355.21 Bn | 104.83 Bn | - |
| 2 | Home Depot | 312.52 Bn | 305.76 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 161.74 Bn | 139.28 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.87 Bn | 102.83 Bn | 8.58 Bn | 179.00 Mn |
| 5 | Ross Stores | 75.35 Bn | 58.27 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.37 Bn | 72.46 Bn | 2.52 Bn | - |
| 7 | Target | 70.09 Bn | 64.68 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.74 Bn | 50.64 Bn | 2.52 Bn | 119.90 Mn |
| 9 | Carvana | 43.39 Bn | 33.88 Bn | 1.38 Bn | - |
| 10 | Citi Trends | 380.04 Mn | 125.85 Mn | 85.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 1, 2020 | 15.68 Mn |
| Nov 2, 2019 | 16.27 Mn |
| Aug 3, 2019 | 16.98 Mn |
| May 4, 2019 | 7.78 Mn |
| Feb 2, 2019 | 8.88 Mn |
| Nov 3, 2018 | 10.32 Mn |
| Aug 4, 2018 | 13.02 Mn |
| May 5, 2018 | 21.71 Mn |
| Feb 3, 2018 | 25.45 Mn |
| Oct 28, 2017 | 26.12 Mn |
| Jul 29, 2017 | 26.75 Mn |
| Apr 29, 2017 | 25.91 Mn |
| Jan 28, 2017 | 26.69 Mn |
| Oct 29, 2016 | 29.18 Mn |
| Jul 30, 2016 | 24.62 Mn |
| Apr 30, 2016 | 24.33 Mn |
| Jan 30, 2016 | 30.89 Mn |
| Oct 31, 2015 | 30.58 Mn |
| Aug 1, 2015 | 36.51 Mn |
| May 2, 2015 | 21.33 Mn |
API Access
Citi Trends 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=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "CTRN", "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=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();