Data Storage (DTST) Long-Term Debt Issuances (2009 - 2016)
Data Storage (DTST) posted Long-Term Debt Issuances of $481,977 for FY2020.
Analysis
Data Storage (DTST) Long-Term Debt Issuances (2009 - 2016) Analysis & Trends
Since FY2010, Data Storage has reported Long-Term Debt Issuances for 5 years.
- The FY2020 figure stands as the highest annual Long-Term Debt Issuances since FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | - |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 2.41 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 | 4.39 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 50.24 Mn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 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 | 900.00 Mn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 316.00 Mn |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | -5,000.00 |
| Dec 31, 2015 | 12,000.00 |
| Mar 31, 2015 | 80,000.00 |
| Dec 31, 2014 | 131,303.00 |
| Sep 30, 2014 | 6,095.00 |
| Jun 30, 2014 | 24,495.00 |
| Mar 31, 2014 | 101,994.00 |
| Dec 31, 2013 | 26,224.00 |
| Sep 30, 2013 | 73,646.00 |
| Jun 30, 2013 | 35,838.00 |
| Mar 31, 2013 | 107,847.00 |
| Dec 31, 2012 | 5,123.00 |
| Sep 30, 2012 | 13,105.00 |
| Jun 30, 2012 | 115,274.00 |
| Mar 31, 2012 | 500,000.00 |
| Sep 30, 2010 | 4,874.00 |
| Jun 30, 2010 | 1.01 Mn |
| Mar 31, 2010 | 224,193.00 |
| Dec 31, 2009 | 136,172.00 |
| Sep 30, 2009 | 163,829.00 |
API Access
Data Storage Long-Term Debt Issuances 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-debt-issuances&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-debt-issuances&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();