Hyperscale Data (GPUS-PD) Non-cash Items (2011 - 2018)
Hyperscale Data (GPUS-PD) reported Non-cash Items of $336000.0 for Q1 2018, down 77.82% year-over-year from $1.5 million in Q1 2017, and up 4923.92% on a QoQ basis from $6688.0 in Q4 2017.
Hyperscale Data (GPUS-PD) has 8 years of Non-cash Items data on file, last reported at $336000.0 in Q1 2018.
- Quarterly Non-cash Items fell 77.82% year-over-year to $336000.0 in Q1 2018, while the trailing twelve-month figure through Mar 2018 was $336000.0 (down 77.82% YoY) and the FY2017 annual result came in at $6688.0, down 99.5% from the prior year.
- Non-cash Items grew to $336000.0 in Q1 2018 per GPUS-PD's latest filing, from $6688.0 in the prior quarter.
- Across five years, Non-cash Items topped out at $1.5 million in Q1 2017 and bottomed at $1.0 in Q3 2015.
- The 5-year median for Non-cash Items is $482763.0 (2015), against an average of $484616.1.
- The widest annual swing landed in 2015, when Non-cash Items sank 100.0%; it then jumped 75599900.0% in 2016.
- Tracing GPUS-PD's Non-cash Items over 5 years: stood at $41570.0 in 2014, then jumped by 1435.96% to $638500.0 in 2015, then increased by 18.4% to $756000.0 in 2016, then sank by 99.12% to $6688.0 in 2017, then soared by 4923.92% to $336000.0 in 2018.
- Per Business Quant, the three latest GPUS-PD Non-cash Items figures stand at $336000.0 (Q1 2018), $6688.0 (Q4 2017), and $148000.0 (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 338.65 Bn | 327.91 Bn | 9.11 Bn |
| 2 | Rtx | 242.18 Bn | 237.08 Bn | 9.08 Bn |
| 3 | Boeing | 182.15 Bn | 161.24 Bn | 2.55 Bn |
| 4 | Lockheed Martin | 121.95 Bn | 120.06 Bn | 2.08 Bn |
| 5 | Howmet Aerospace | 103.56 Bn | 101.12 Bn | 854.00 Mn |
| 6 | General Dynamics | 93.70 Bn | 90.05 Bn | 9.09 Bn |
| 7 | Embraer | 89.60 Bn | 86.98 Bn | - |
| 8 | Rocket Lab | 86.87 Bn | 85.59 Bn | 76.49 Mn |
| 9 | Northrop Grumman | 80.10 Bn | 78.01 Bn | 3.45 Bn |
| 10 | Hyperscale Data | - | - | 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 | 1.52 Mn |
| Mar 31, 2017 | 1.52 Mn |
| Sep 30, 2016 | 7,000.00 |
| Sep 30, 2016 | 7,000.00 |
| 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 | 1.00 |
| Sep 30, 2015 | 1.00 |
| Jun 30, 2015 | 655,263.00 |
| Jun 30, 2015 | 655,263.00 |
| Mar 31, 2015 | 482,763.00 |
| Mar 31, 2015 | 482,763.00 |
| Dec 31, 2014 | 41,570.00 |
| Dec 31, 2014 | 41,570.00 |
| Sep 30, 2014 | 397,263.00 |
| Sep 30, 2014 | 397,263.00 |
| Jun 30, 2014 | 30,000.00 |
| Jun 30, 2014 | 30,000.00 |
| Mar 31, 2014 | 560,263.00 |
| Mar 31, 2014 | 560,263.00 |
| Dec 31, 2013 | 40,570.00 |
| Dec 31, 2013 | 40,570.00 |
| Dec 31, 2012 | 1,000.00 |
| Dec 31, 2012 | 1,000.00 |
| Sep 30, 2012 | 488,513.00 |
| Sep 30, 2012 | 488,513.00 |
| Jun 30, 2012 | 67,000.00 |
| Jun 30, 2012 | 67,000.00 |
| Dec 31, 2011 | 411,000.00 |
| Dec 31, 2011 | 411,000.00 |