Hyperscale Data (GPUS) Non-cash Items (2011 - 2018)
Hyperscale Data (GPUS) reported Non-cash Items of $336000.0 for Q1 2018, down 22.4% year-over-year from $433000.0 in Q1 2017, and up 4923.92% quarter-over-quarter from $6688.0 in Q4 2017.
Hyperscale Data (GPUS) Non-cash Items (2011 - 2018) Analysis & Trends
Hyperscale Data (GPUS) has 8 years of Non-cash Items data on file, last reported at $336000.0 in Q1 2018.
- Non-cash Items for Q1 2018 came in at $336000.0, down 22.4% year-over-year; the trailing twelve-month figure through Mar 2018 was $336000.0 (down 22.4% YoY), and the FY2017 annual result was $6688.0, changed N/A from the prior year.
- Non-cash Items rose to $336000.0 in Q1 2018 per GPUS's latest filing, from $6688.0 in the prior quarter.
- Over five years, Non-cash Items peaked at $756000.0 in Q3 2016 and troughed at $6688.0 in Q4 2017.
- A 5-year average of $431754.9 and a median of $482763.0 in 2015 frame the typical range for Non-cash Items.
- The sharpest annual moves came in 2015 and 2017: Non-cash Items soared 2084.21% in 2015, then slumped 79.89% in 2017.
- A 5-year view of Non-cash Items shows it stood at $41570.0 in 2014, then soared by 1435.96% to $638500.0 in 2015, then gained by 18.4% to $756000.0 in 2016, then tumbled by 99.12% to $6688.0 in 2017, then surged by 4923.92% to $336000.0 in 2018.
- Business Quant data shows GPUS's Non-cash Items at $336000.0 in Q1 2018, $6688.0 in Q4 2017, and $148000.0 in Q2 2017.
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| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | DEFSEC Technologies | 5,720.56 Bn | 5,720.56 Bn | 456,459.43 |
| 2 | General Electric | 359.38 Bn | 348.64 Bn | 9.11 Bn |
| 3 | Rtx | 248.80 Bn | 243.70 Bn | 9.08 Bn |
| 4 | Boeing | 180.64 Bn | 159.74 Bn | 2.55 Bn |
| 5 | Lockheed Martin | 121.64 Bn | 119.74 Bn | 2.08 Bn |
| 6 | Howmet Aerospace | 108.46 Bn | 106.03 Bn | 854.00 Mn |
| 7 | General Dynamics | 96.96 Bn | 93.31 Bn | 9.09 Bn |
| 8 | Embraer | 95.73 Bn | 93.11 Bn | - |
| 9 | Northrop Grumman | 77.30 Bn | 75.21 Bn | 3.45 Bn |
| 10 | Hyperscale Data | 102.80 Mn | 72.41 Mn | 15.07 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2018 | 336,000.00 |
| Mar 31, 2018 | 336,000.00 |
| Dec 31, 2017 | 6,688.00 |
| Dec 31, 2017 | 6,688.00 |
| Jun 30, 2017 | 148,000.00 |
| Jun 30, 2017 | 148,000.00 |
| Mar 31, 2017 | 433,000.00 |
| Mar 31, 2017 | 433,000.00 |
| Sep 30, 2016 | 756,000.00 |
| Sep 30, 2016 | 756,000.00 |
| Jun 30, 2016 | 736,000.00 |
| Jun 30, 2016 | 736,000.00 |
| Mar 31, 2016 | 598,500.00 |
| Mar 31, 2016 | 598,500.00 |
| Dec 31, 2015 | 638,500.00 |
| Dec 31, 2015 | 638,500.00 |
| Sep 30, 2015 | 656,513.00 |
| Sep 30, 2015 | 656,513.00 |
| Jun 30, 2015 | 655,263.00 |
| Jun 30, 2015 | 655,263.00 |