Data Storage (DTST) Sales of Property, Plant and Equipment (2011 - 2014)
Data Storage (DTST) reported Sales of Property, Plant and Equipment of -$3,318 for Q1 2014.
Analysis
Data Storage (DTST) Sales of Property, Plant and Equipment (2011 - 2014) Analysis & Trends
For FY2013, Data Storage posted Sales of Property, Plant and Equipment of -$8,425.
- By year, Sales of Property, Plant and Equipment came in at -$106,053 in FY2012, -$96,575 in FY2011 and -$36,246 in FY2010.
- Five-year quarterly Sales of Property, Plant and Equipment spans a low of -$56,623 in Q2 2012 and a high of $170,623 in Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | - |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 31.00 Mn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | - |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | -864.98 Mn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 2.80 Mn |
| 10 | Data Storage | 7.45 Mn | 7.23 Mn | 168,481.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | -3,318.00 |
| Dec 31, 2013 | 170,623.00 |
| Sep 30, 2013 | -11,393.00 |
| Dec 31, 2012 | -6,226.00 |
| Sep 30, 2012 | -31,058.00 |
| Jun 30, 2012 | -56,623.00 |
| Mar 31, 2012 | -12,146.00 |
| Dec 31, 2011 | -41,592.00 |
| Sep 30, 2011 | -28,243.00 |
| Jun 30, 2011 | -26,740.00 |
API Access
Data Storage Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();