Hyperscale Data (GPUS) Receivables - Other (2014 - 2019)
Hyperscale Data (GPUS) reported Receivables - Other of $2.7 million for Q2 2019, up 5046.58% quarter-over-quarter from $52000.0 in Q2 2016.
Hyperscale Data (GPUS) Receivables - Other (2014 - 2019) Analysis & Trends
Hyperscale Data (GPUS) has 4 years of Receivables - Other data on file, last reported at $2.7 million in Q2 2019.
- Receivables - Other for Q2 2019 came in at $2.7 million, changed N/A year-over-year; the trailing twelve-month figure through Jun 2019 was $2.7 million (changed N/A YoY), and the FY2015 annual result was $77000.0, changed N/A from the prior year.
- Receivables - Other advanced to $2.7 million in Q2 2019 per GPUS's latest filing, from $52000.0 in the prior quarter.
- Over five years, Receivables - Other peaked at $2.7 million in Q2 2019 and troughed at $26000.0 in Q1 2015.
- A 3-year average of $489203.2 and a median of $60000.0 in 2016 frame the typical range for Receivables - Other.
- On a YoY basis, Receivables - Other climbed as much as 161.54% in 2016 and fell as far as 44.44% in 2016.
- A 3-year view of Receivables - Other shows it stood at $77000.0 in 2015, then tumbled by 32.47% to $52000.0 in 2016, then surged by 5046.58% to $2.7 million in 2019.
- Business Quant data shows GPUS's Receivables - Other at $2.7 million in Q2 2019, $52000.0 in Q2 2016, and $68000.0 in Q1 2016.
Peer Comparison
| # | 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 |
|---|---|
| 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 |