Data Storage (DTST) Long-Term Investments (2013 - 2016)
Data Storage's Long-Term Investments came in at $20,117 for Q4 2015, up 28.1% from $15,699 a year earlier but down 52.9% from the prior quarter.
Analysis
Data Storage (DTST) Long-Term Investments (2013 - 2016) Analysis & Trends
Going back to Q2 2013, Data Storage's Long-Term Investments data covers 8 quarters.
- Going back by year, Long-Term Investments was $15,699 in FY2014.
- The five-year range for quarterly Long-Term Investments is $3,848 (Q3 2013) to $42,671 (Q3 2015).
- Year-over-year, Long-Term Investments increased in four of the last five quarters, with growth averaging 114.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 80.21 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | - |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 2.70 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 2.22 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 2.29 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | - |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | - |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 17,545.00 |
| Jun 30, 2016 | 19,907.00 |
| Mar 31, 2016 | 11,030.00 |
| Dec 31, 2015 | 20,117.00 |
| Sep 30, 2015 | 42,671.00 |
| Jun 30, 2015 | 11,046.00 |
| Mar 31, 2015 | 67,199.00 |
| Dec 31, 2014 | 15,699.00 |
| Sep 30, 2014 | 20,595.00 |
| Jun 30, 2014 | 19,538.00 |
| Sep 30, 2013 | 3,848.00 |
| Jun 30, 2013 | 13,557.00 |
API Access
Data Storage 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=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "DTST", "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=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();