Hyperscale Data (GPUS) Assets (2010 - 2026)
Hyperscale Data (GPUS) reported Assets of $319.6 million for Q1 2026, up 46.22% year-over-year from $218.5 million in Q1 2025, and up 1.87% on a QoQ basis from $313.7 million in Q4 2025.
Hyperscale Data (GPUS) has 17 years of Assets data on file, last reported at $319.6 million in Q1 2026.
- Quarterly Assets rose 46.22% year-over-year to $319.6 million in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $319.6 million (up 46.22% YoY) and the FY2025 annual result came in at $313.7 million, up 42.1% from the prior year.
- Assets climbed to $319.6 million in Q1 2026 per GPUS's latest filing, from $313.7 million in the prior quarter.
- Across five years, Assets topped out at $610.9 million in Q3 2022 and bottomed at $213.5 million in Q2 2025.
- The 5-year median for Assets is $313.7 million (2025), against an average of $364.8 million.
- The widest annual swing landed in 2022, when Assets jumped 170.65%; it then slumped 46.72% in 2023.
- Tracing GPUS's Assets over 5 years: stood at $561.5 million in 2022, then tumbled by 46.72% to $299.2 million in 2023, then dropped by 26.21% to $220.8 million in 2024, then soared by 42.1% to $313.7 million in 2025, then rose by 1.87% to $319.6 million in 2026.
- Per Business Quant, the three latest GPUS Assets figures stand at $319.6 million (Q1 2026), $313.7 million (Q4 2025), and $242.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | 128.45 Bn |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | 170.43 Bn |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | 164.79 Bn |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | 59.24 Bn |
| 5 | Howmet Aerospace | 102.88 Bn | 100.44 Bn | 854.00 Mn | 13.07 Bn |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn | 59.03 Bn |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn | 2.82 Bn |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | 50.01 Bn |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | 25.44 Bn |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | 319.56 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 319.56 Mn |
| Dec 31, 2025 | 313.71 Mn |
| Sep 30, 2025 | 242.39 Mn |
| Jun 30, 2025 | 213.50 Mn |
| Mar 31, 2025 | 218.55 Mn |
| Dec 31, 2024 | 220.77 Mn |
| Sep 30, 2024 | 231.49 Mn |
| Jun 30, 2024 | 270.78 Mn |
| Mar 31, 2024 | 299.78 Mn |
| Dec 31, 2023 | 299.19 Mn |
| Sep 30, 2023 | 378.46 Mn |
| Jun 30, 2023 | 378.39 Mn |
| Mar 31, 2023 | 526.91 Mn |
| Dec 31, 2022 | 561.51 Mn |
| Sep 30, 2022 | 610.91 Mn |
| Jun 30, 2022 | 596.27 Mn |
| Mar 31, 2022 | 518.92 Mn |
| Dec 31, 2021 | 490.29 Mn |
| Sep 30, 2021 | 225.72 Mn |
| Jun 30, 2021 | 259.10 Mn |
| Mar 31, 2021 | 234.03 Mn |
| Dec 31, 2020 | 75.64 Mn |
| Sep 30, 2020 | 21.19 Mn |
| Jun 30, 2020 | 21.39 Mn |
| Mar 31, 2020 | 37.77 Mn |
| Dec 31, 2019 | 42.75 Mn |
| Sep 30, 2019 | 50.50 Mn |
| Jun 30, 2019 | 50.50 Mn |
| Mar 31, 2019 | 39.11 Mn |
| Dec 31, 2018 | 49.43 Mn |
| Sep 30, 2018 | 53.10 Mn |
| Jun 30, 2018 | 53.44 Mn |
| Mar 31, 2018 | 38.49 Mn |
| Dec 31, 2017 | 30.51 Mn |
| Sep 30, 2017 | 13.98 Mn |
| Jun 30, 2017 | 13.98 Mn |
| Mar 31, 2017 | 5.71 Mn |
| Dec 31, 2016 | 5.47 Mn |
| Sep 30, 2016 | 74,000.00 |
| Jun 30, 2016 | 4.56 Mn |
| Mar 31, 2016 | 4.93 Mn |
| Dec 31, 2015 | 5.10 Mn |
| Sep 30, 2015 | 5.18 Mn |
| Jun 30, 2015 | 5.71 Mn |
| Mar 31, 2015 | 6.05 Mn |
| Dec 31, 2014 | 6.34 Mn |
| Sep 30, 2014 | 6.88 Mn |
| Jun 30, 2014 | 6.48 Mn |
| Mar 31, 2014 | 6.24 Mn |
| Dec 31, 2013 | 6.98 Mn |
| Sep 30, 2013 | 7.24 Mn |
| Jun 30, 2013 | 6.71 Mn |
| Mar 31, 2013 | 7.12 Mn |
| Dec 31, 2012 | 6.93 Mn |
| Sep 30, 2012 | 7.50 Mn |
| Jun 30, 2012 | 7.67 Mn |
| Mar 31, 2012 | 7.06 Mn |
| Dec 31, 2011 | 7.35 Mn |
| Sep 30, 2011 | 7.55 Mn |
| Jun 30, 2011 | 7.00 Mn |
| Dec 31, 2010 | 7.18 Mn |