Hyperscale Data (GPUS-PD) Receivables - Other (2014 - 2019)
Hyperscale Data (GPUS-PD) reported Receivables - Other of $2.7 million for Q2 2019, up 5046.58% on a QoQ basis from $52000.0 in Q2 2016.
Hyperscale Data (GPUS-PD) has 4 years of Receivables - Other data on file, last reported at $2.7 million in Q2 2019.
- Quarterly Receivables - Other changed N/A year-over-year to $2.7 million in Q2 2019, while the trailing twelve-month figure through Jun 2019 was $2.7 million (changed N/A YoY) and the FY2015 annual result came in at $77000.0, changed N/A from the prior year.
- Receivables - Other climbed to $2.7 million in Q2 2019 per GPUS-PD's latest filing, from $52000.0 in the prior quarter.
- Across five years, Receivables - Other topped out at $2.7 million in Q2 2019 and bottomed at $26000.0 in Q1 2015.
- The 3-year median for Receivables - Other is $60000.0 (2016), against an average of $489203.2.
- Peak annual rise in Receivables - Other reached 161.54% in 2016, while the deepest fall reached 44.44% in 2016.
- Tracing GPUS-PD's Receivables - Other over 3 years: stood at $77000.0 in 2015, then sank by 32.47% to $52000.0 in 2016, then soared by 5046.58% to $2.7 million in 2019.
- Per Business Quant, the three latest GPUS-PD Receivables - Other figures stand at $2.7 million (Q2 2019), $52000.0 (Q2 2016), and $68000.0 (Q1 2016).
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 |
|---|---|
| Jun 30, 2019 | 2.68 Mn |
| Jun 30, 2019 | 2.68 Mn |
| Jun 30, 2016 | 52,000.00 |
| Jun 30, 2016 | 52,000.00 |
| Mar 31, 2016 | 68,000.00 |
| Mar 31, 2016 | 68,000.00 |
| Dec 31, 2015 | 77,000.00 |
| Dec 31, 2015 | 77,000.00 |
| Jun 30, 2015 | 36,000.00 |
| Jun 30, 2015 | 36,000.00 |
| Mar 31, 2015 | 26,000.00 |
| Mar 31, 2015 | 26,000.00 |
| Sep 30, 2014 | 12,000.00 |
| Sep 30, 2014 | 12,000.00 |