Hyperscale Data (GPUS) Non-cash Items (2011 - 2018)
Hyperscale Data (GPUS) posted quarterly Non-cash Items of $336000.0 for Q1 2018, down 77.82% YoY from $1.5 million in Q1 2017, and up 4923.92% sequentially from $6688.0 in Q4 2017.
Hyperscale Data (GPUS) Non-cash Items (2011 - 2018) Analysis & Trends
Hyperscale Data has disclosed Non-cash Items across 8 years of filings, most recently posting $336000.0 for Q1 2018.
- In Q1 2018, Non-cash Items fell 77.82% year-over-year to $336000.0; the TTM figure through Mar 2018 stood at $336000.0 (down 77.82% YoY), while the FY2017 annual figure was $6688.0, changed N/A from the prior year.
- Non-cash Items advanced to $336000.0 in Q1 2018, from $6688.0 in the prior quarter.
- Over the last five years, Non-cash Items for GPUS reached as high as $1.5 million in Q1 2017 and fell as low as $9.92 in Q2 2015.
- The 5-year median for Non-cash Items is $397263.0 (2014), against an average of $414215.8.
- Annual changes were most pronounced in 2015 — Non-cash Items plunged 100.0% — and 2016, when it jumped 7419254.84%.
- A 5-year view of Non-cash Items shows it stood at $41570.0 in 2014, then soared by 1435.96% to $638500.0 in 2015, then slumped by 98.9% to $7000.0 in 2016, then retreated by 4.46% to $6688.0 in 2017, then surged by 4923.92% to $336000.0 in 2018.
- According to Business Quant data, Non-cash Items over the past three periods registered $336000.0, $6688.0, and $148000.0 for Q1 2018, Q4 2017, and Q2 2017 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Boeing | 1,106.33 Bn | 1,085.43 Bn | 2.55 Bn |
| 2 | Rtx | 258.51 Bn | 253.40 Bn | 9.08 Bn |
| 3 | General Dynamics | 174.86 Bn | 171.21 Bn | 9.09 Bn |
| 4 | Lockheed Martin | 119.99 Bn | 118.10 Bn | 2.08 Bn |
| 5 | Howmet Aerospace | 107.26 Bn | 104.82 Bn | 854.00 Mn |
| 6 | TransDigm | 76.18 Bn | 72.30 Bn | 1.51 Bn |
| 7 | Northrop Grumman | 73.88 Bn | 71.79 Bn | 3.45 Bn |
| 8 | Rocket Lab | 60.59 Bn | 59.31 Bn | 76.49 Mn |
| 9 | L3Harris Technologies | 54.60 Bn | 54.60 Bn | 1.40 Bn |
| 10 | Hyperscale Data | 57.11 Mn | 26.73 Mn | 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 | 756,000.00 |
| Sep 30, 2016 | 756,000.00 |
| 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 |