Hyperscale Data (GPUS) Assets Average (2011 - 2026)
Hyperscale Data (GPUS) reported Assets Average of $316.6 million for Q1 2026, up 44.15% year-over-year from $219.7 million in Q1 2025, and up 13.88% on a QoQ basis from $278.1 million in Q4 2025.
Hyperscale Data (GPUS) has 16 years of Assets Average data on file, last reported at $316.6 million in Q1 2026.
- Quarterly Assets Average rose 44.15% year-over-year to $316.6 million in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $316.6 million (up 44.15% YoY) and the FY2025 annual result came in at $267.2 million, up 2.79% from the prior year.
- Assets Average climbed to $316.6 million in Q1 2026 per GPUS's latest filing, from $278.1 million in the prior quarter.
- Across five years, Assets Average topped out at $603.6 million in Q3 2022 and bottomed at $216.0 million in Q2 2025.
- The 5-year median for Assets Average is $316.6 million (2026), against an average of $369.8 million.
- The widest annual swing landed in 2022, when Assets Average jumped 225.89%; it then tumbled 44.97% in 2024.
- Tracing GPUS's Assets Average over 5 years: stood at $586.2 million in 2022, then plunged by 42.2% to $338.8 million in 2023, then sank by 33.26% to $226.1 million in 2024, then gained by 22.96% to $278.1 million in 2025, then climbed by 13.88% to $316.6 million in 2026.
- Per Business Quant, the three latest GPUS Assets Average figures stand at $316.6 million (Q1 2026), $278.1 million (Q4 2025), and $227.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | 129.31 Bn |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | 170.76 Bn |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | 166.51 Bn |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | 59.54 Bn |
| 5 | Howmet Aerospace | 102.88 Bn | 100.44 Bn | 854.00 Mn | 12.12 Bn |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn | 58.14 Bn |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn | 2.57 Bn |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | 50.69 Bn |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | 24.60 Bn |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | 316.63 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 316.63 Mn |
| Dec 31, 2025 | 278.05 Mn |
| Sep 30, 2025 | 227.95 Mn |
| Jun 30, 2025 | 216.03 Mn |
| Mar 31, 2025 | 219.66 Mn |
| Dec 31, 2024 | 226.13 Mn |
| Sep 30, 2024 | 251.14 Mn |
| Jun 30, 2024 | 285.28 Mn |
| Mar 31, 2024 | 299.48 Mn |
| Dec 31, 2023 | 338.82 Mn |
| Sep 30, 2023 | 378.42 Mn |
| Jun 30, 2023 | 452.65 Mn |
| Mar 31, 2023 | 544.21 Mn |
| Dec 31, 2022 | 586.21 Mn |
| Sep 30, 2022 | 603.59 Mn |
| Jun 30, 2022 | 557.60 Mn |
| Mar 31, 2022 | 504.61 Mn |
| Dec 31, 2021 | 358.00 Mn |
| Sep 30, 2021 | 242.41 Mn |
| Jun 30, 2021 | 246.57 Mn |
| Mar 31, 2021 | 154.84 Mn |
| Dec 31, 2020 | 48.41 Mn |
| Sep 30, 2020 | 21.29 Mn |
| Jun 30, 2020 | 29.58 Mn |
| Mar 31, 2020 | 40.26 Mn |
| Dec 31, 2019 | 46.63 Mn |
| Sep 30, 2019 | 50.50 Mn |
| Jun 30, 2019 | 44.81 Mn |
| Mar 31, 2019 | 44.27 Mn |
| Dec 31, 2018 | 51.27 Mn |
| Sep 30, 2018 | 53.27 Mn |
| Jun 30, 2018 | 45.97 Mn |
| Mar 31, 2018 | 34.50 Mn |
| Dec 31, 2017 | 22.24 Mn |
| Sep 30, 2017 | 13.98 Mn |
| Jun 30, 2017 | 9.84 Mn |
| Mar 31, 2017 | 5.59 Mn |
| Dec 31, 2016 | 2.77 Mn |
| Sep 30, 2016 | 2.32 Mn |
| Jun 30, 2016 | 4.75 Mn |
| Mar 31, 2016 | 5.01 Mn |
| Dec 31, 2015 | 5.14 Mn |
| Sep 30, 2015 | 5.45 Mn |
| Jun 30, 2015 | 5.88 Mn |
| Mar 31, 2015 | 6.20 Mn |
| Dec 31, 2014 | 6.61 Mn |
| Sep 30, 2014 | 6.68 Mn |
| Jun 30, 2014 | 6.36 Mn |
| Mar 31, 2014 | 6.61 Mn |
| Dec 31, 2013 | 7.11 Mn |
| Sep 30, 2013 | 6.97 Mn |
| Jun 30, 2013 | 6.91 Mn |
| Mar 31, 2013 | 7.02 Mn |
| Dec 31, 2012 | 7.22 Mn |
| Sep 30, 2012 | 7.59 Mn |
| Jun 30, 2012 | 7.36 Mn |
| Mar 31, 2012 | 7.20 Mn |
| Dec 31, 2011 | 7.45 Mn |
| Sep 30, 2011 | 7.28 Mn |