Hyperscale Data (GPUS) Asset Writedowns and Impairment (2012 - 2024)
Hyperscale Data (GPUS) reported Asset Writedowns and Impairment of -$18.2 million for Q4 2024, down 349.6% year-over-year from $7.3 million in Q1 2024, and down 254.75% on a QoQ basis from $11.8 million in Q3 2024.
Hyperscale Data (GPUS) has 7 years of Asset Writedowns and Impairment data on file, last reported at -$18.2 million in Q4 2024.
- Quarterly Asset Writedowns and Impairment fell 349.6% year-over-year to -$18.2 million in Q4 2024, while the trailing twelve-month figure through Dec 2024 was $8.8 million (up 323.8% YoY) and the FY2024 annual result came in at $1.5 million, down 96.5% from the prior year.
- Asset Writedowns and Impairment retreated to -$18.2 million in Q4 2024 per GPUS's latest filing, from $11.8 million in the prior quarter.
- Across five years, Asset Writedowns and Impairment topped out at $11.8 million in Q3 2024 and bottomed at -$18.2 million in Q4 2024.
- The 3-year median for Asset Writedowns and Impairment is $7.3 million (2023), against an average of $1.5 million.
- The widest annual swing landed in 2020, when Asset Writedowns and Impairment surged 58.84%; it then plunged 349.6% in 2024.
- Tracing GPUS's Asset Writedowns and Impairment over 3 years: stood at -$1.5 million in 2020, then soared by 579.24% to $7.3 million in 2023, then sank by 349.6% to -$18.2 million in 2024.
- Per Business Quant, the three latest GPUS Asset Writedowns and Impairment figures stand at -$18.2 million (Q4 2024), $11.8 million (Q3 2024), and $8.0 million (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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, 2024 | -18.25 Mn |
| Dec 31, 2024 | -18.25 Mn |
| Sep 30, 2024 | 11.79 Mn |
| Sep 30, 2024 | 11.79 Mn |
| Jun 30, 2024 | 7.96 Mn |
| Jun 30, 2024 | 7.96 Mn |
| Dec 31, 2023 | 7.31 Mn |
| Dec 31, 2023 | 7.31 Mn |
| Dec 31, 2020 | -504,802.00 |
| Dec 31, 2020 | -504,802.00 |
| Dec 31, 2019 | -4.15 Mn |
| Dec 31, 2019 | -4.15 Mn |
| Dec 31, 2015 | -97,000.00 |
| Dec 31, 2015 | -97,000.00 |
| Jun 30, 2015 | 56,000.00 |
| Jun 30, 2015 | 56,000.00 |
| Mar 31, 2015 | 50,000.00 |
| Mar 31, 2015 | 50,000.00 |
| Dec 31, 2013 | -150,000.00 |
| Dec 31, 2013 | -150,000.00 |
| Jun 30, 2013 | 196,000.00 |
| Jun 30, 2013 | 196,000.00 |
| Sep 30, 2012 | 218.00 |
| Sep 30, 2012 | 218.00 |