Hyperscale Data (GPUS) Short-Term Debt repayments (2017 - 2020)
Hyperscale Data (GPUS) reported Short-Term Debt repayments of $540000.0 for Q4 2020, up 104.95% on a QoQ basis from -$10.9 million in Q4 2018.
Hyperscale Data (GPUS) has 3 years of Short-Term Debt repayments data on file, last reported at $540000.0 in Q4 2020.
- Quarterly Short-Term Debt repayments changed N/A year-over-year to $540000.0 in Q4 2020, while the trailing twelve-month figure through Dec 2020 was -$10.4 million (down 4778.78% YoY) and the FY2020 annual result came in at $570000.0, up 14.0% from the prior year.
- Short-Term Debt repayments advanced to $540000.0 in Q4 2020 per GPUS's latest filing, from -$10.9 million in the prior quarter.
- Across five years, Short-Term Debt repayments topped out at $11.1 million in Q3 2018 and bottomed at -$10.9 million in Q4 2018.
- The 3-year median for Short-Term Debt repayments is $1.0 million (2018), against an average of $535814.3.
- Peak annual rise in Short-Term Debt repayments reached 859.05% in 2018, while the deepest fall reached 876.49% in 2018.
- Tracing GPUS's Short-Term Debt repayments over 3 years: stood at $1.4 million in 2017, then plunged by 876.49% to -$10.9 million in 2018, then jumped by 104.95% to $540000.0 in 2020.
- Per Business Quant, the three latest GPUS Short-Term Debt repayments figures stand at $540000.0 (Q4 2020), -$10.9 million (Q4 2018), and $11.1 million (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Short-Term Debt repayments (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | - |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | - |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | - |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | - |
| 5 | Howmet Aerospace | 102.88 Bn | 100.44 Bn | 854.00 Mn | - |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn | - |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn | - |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | - |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | - |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | - |
Historic Data
Download Data| Date | Value |
|---|---|
| Dec 31, 2020 | 540,000.00 |
| Dec 31, 2020 | 540,000.00 |
| Dec 31, 2018 | -10.90 Mn |
| Dec 31, 2018 | -10.90 Mn |
| Sep 30, 2018 | 11.13 Mn |
| Sep 30, 2018 | 11.13 Mn |
| Jun 30, 2018 | -575,000.00 |
| Jun 30, 2018 | -575,000.00 |
| Mar 31, 2018 | 1.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
| Dec 31, 2017 | 1.40 Mn |
| Dec 31, 2017 | 1.40 Mn |
| Sep 30, 2017 | 1.16 Mn |
| Sep 30, 2017 | 1.16 Mn |