Hyperscale Data (GPUS) Asset Utilization Ratio (2011 - 2026)
Hyperscale Data (GPUS) reported Asset Utilization Ratio of 0.38 for Q1 2026, down 9.92% year-over-year from 0.42 in Q1 2025, and up 4.2% on a QoQ basis from 0.37 in Q4 2025.
Hyperscale Data (GPUS) has 16 years of Asset Utilization Ratio data on file, last reported at 0.38 in Q1 2026.
- Quarterly Asset Utilization Ratio fell 9.92% year-over-year to 0.38 in Q1 2026, while the trailing twelve-month figure through Mar 2026 was 0.38 (down 9.92% YoY) and the FY2025 annual result came in at 0.38, down 6.87% from the prior year.
- Asset Utilization Ratio grew to 0.38 in Q1 2026 per GPUS's latest filing, from 0.37 in the prior quarter.
- Across five years, Asset Utilization Ratio topped out at 0.53 in Q1 2024 and bottomed at 0.16 in Q2 2022.
- The 5-year median for Asset Utilization Ratio is 0.4 (2023), against an average of 0.36.
- The widest annual swing landed in 2022, when Asset Utilization Ratio slumped 63.76%; it then soared 139.39% in 2024.
- Tracing GPUS's Asset Utilization Ratio over 5 years: stood at 0.21 in 2022, then soared by 107.8% to 0.44 in 2023, then grew by 6.51% to 0.47 in 2024, then fell by 22.14% to 0.37 in 2025, then rose by 4.2% to 0.38 in 2026.
- Per Business Quant, the three latest GPUS Asset Utilization Ratio figures stand at 0.38 (Q1 2026), 0.37 (Q4 2025), and 0.42 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | 0.37 |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | 0.53 |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | 0.55 |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | 1.26 |
| 5 | Howmet Aerospace | 102.88 Bn | 100.44 Bn | 854.00 Mn | 0.71 |
| 6 | General Dynamics | 92.64 Bn | 88.99 Bn | 9.09 Bn | 0.93 |
| 7 | Rocket Lab | 82.19 Bn | 80.92 Bn | 76.49 Mn | 0.26 |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | 0.84 |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | 0.39 |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | 0.38 |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 0.38 |
| Dec 31, 2025 | 0.37 |
| Sep 30, 2025 | 0.42 |
| Jun 30, 2025 | 0.47 |
| Mar 31, 2025 | 0.42 |
| Dec 31, 2024 | 0.47 |
| Sep 30, 2024 | 0.47 |
| Jun 30, 2024 | 0.46 |
| Mar 31, 2024 | 0.53 |
| Dec 31, 2023 | 0.44 |
| Sep 30, 2023 | 0.40 |
| Jun 30, 2023 | 0.33 |
| Mar 31, 2023 | 0.22 |
| Dec 31, 2022 | 0.21 |
| Sep 30, 2022 | 0.17 |
| Jun 30, 2022 | 0.16 |
| Mar 31, 2022 | 0.26 |
| Dec 31, 2021 | 0.32 |
| Sep 30, 2021 | 0.47 |
| Jun 30, 2021 | 0.36 |
| Mar 31, 2021 | 0.20 |
| Dec 31, 2020 | 0.49 |
| Sep 30, 2020 | 1.08 |
| Jun 30, 2020 | 0.76 |
| Mar 31, 2020 | 0.55 |
| Dec 31, 2019 | 0.48 |
| Sep 30, 2019 | 0.44 |
| Jun 30, 2019 | 0.56 |
| Mar 31, 2019 | 0.63 |
| Dec 31, 2018 | 0.53 |
| Sep 30, 2018 | 0.46 |
| Jun 30, 2018 | 0.42 |
| Mar 31, 2018 | 0.40 |
| Dec 31, 2017 | 0.46 |
| Sep 30, 2017 | 0.62 |
| Jun 30, 2017 | 0.74 |
| Mar 31, 2017 | 1.34 |
| Dec 31, 2016 | 2.74 |
| Sep 30, 2016 | 3.41 |
| Jun 30, 2016 | 1.58 |
| Mar 31, 2016 | 1.51 |
| Dec 31, 2015 | 1.51 |
| Sep 30, 2015 | 1.39 |
| Jun 30, 2015 | 1.43 |
| Mar 31, 2015 | 1.43 |
| Dec 31, 2014 | 1.36 |
| Sep 30, 2014 | 1.37 |
| Jun 30, 2014 | 1.42 |
| Mar 31, 2014 | 1.30 |
| Dec 31, 2013 | 1.23 |
| Sep 30, 2013 | 1.18 |
| Jun 30, 2013 | 1.13 |
| Mar 31, 2013 | 1.22 |
| Dec 31, 2012 | 1.19 |
| Sep 30, 2012 | 1.18 |
| Jun 30, 2012 | 1.39 |
| Mar 31, 2012 | 1.46 |
| Dec 31, 2011 | 1.51 |
| Sep 30, 2011 | 1.68 |