Hyperscale Data (GPUS) Receivables - Other (2014 - 2019)
Hyperscale Data's (GPUS) quarterly Receivables - Other came in at $2.7 million in Q2 2019, up 5046.58% on a QoQ basis 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.
- On a quarterly basis, Receivables - Other changed N/A year-over-year to $2.7 million in Q2 2019; TTM through Jun 2019 was $2.7 million, a N/A change from a year earlier, with the FY2015 full-year figure at $77000.0, changed N/A from the prior year.
- Receivables - Other for Q2 2019 stood at $2.7 million, up from $52000.0 in the prior quarter.
- Over the last five years, Receivables - Other for GPUS reached as high as $2.7 million in Q2 2019 and fell as low as $26000.0 in Q1 2015.
- Historically, Receivables - Other has averaged $489203.2 across 3 years, with a median of $60000.0 in 2016.
- On a YoY basis, Receivables - Other climbed as much as 161.54% in 2016 and fell as far as 44.44% in 2016.
- Year by year, Receivables - Other stood at $77000.0 in 2015, then plunged by 32.47% to $52000.0 in 2016, then surged by 5046.58% to $2.7 million in 2019.
- Per Business Quant data, the three most recent Receivables - Other figures were $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 | General Electric | 376.06 Bn | 366.71 Bn | -3.10 Bn |
| 2 | Rtx | 290.71 Bn | 282.41 Bn | 9.91 Bn |
| 3 | Boeing | 170.38 Bn | 150.36 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 133.55 Bn | 129.76 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 114.08 Bn | 111.65 Bn | 854.00 Mn |
| 6 | General Dynamics | 103.42 Bn | 99.09 Bn | 6.76 Bn |
| 7 | Northrop Grumman | 77.20 Bn | 74.89 Bn | 3.72 Bn |
| 8 | TransDigm | 73.58 Bn | 69.70 Bn | 1.51 Bn |
| 9 | L3Harris Technologies | 51.83 Bn | 51.24 Bn | 1.40 Bn |
| 10 | Hyperscale Data | 45.57 Mn | 35.03 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 |