Hyperscale Data (GPUS) Prepaid Assets (2010 - 2026)
Hyperscale Data's (GPUS) quarterly Prepaid Assets came in at $16.3 million in Q1 2026, up 564.64% year-on-year from $2.4 million in Q1 2025, and up 10.49% on a QoQ basis from $14.7 million in Q4 2025.
Hyperscale Data (GPUS) Prepaid Assets (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has 17 years of Prepaid Assets data on file, last reported at $16.3 million in Q1 2026.
- On a quarterly basis, Prepaid Assets rose 564.64% year-over-year to $16.3 million in Q1 2026; TTM through Mar 2026 was $16.3 million, a 564.64% increase from a year earlier, with the FY2025 full-year figure at $14.7 million, up 382.07% from the prior year.
- Prepaid Assets for Q1 2026 stood at $16.3 million, up from $14.7 million in the prior quarter.
- Over the last five years, Prepaid Assets for GPUS reached as high as $16.7 million in Q2 2023 and fell as low as $2.4 million in Q1 2025.
- Historically, Prepaid Assets has averaged $8.9 million across 5 years, with a median of $8.0 million in 2024.
- Across the five-year window, Prepaid Assets slumped 69.52% in 2025 and surged 564.64% in 2026, its largest moves.
- Year by year, Prepaid Assets stood at $5.1 million in 2022, then increased by 3.41% to $5.2 million in 2023, then tumbled by 41.76% to $3.1 million in 2024, then soared by 382.07% to $14.7 million in 2025, then advanced by 10.49% to $16.3 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $16.3 million in Q1 2026, $14.7 million in Q4 2025, and $4.0 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 375.76 Bn | 366.42 Bn | -3.10 Bn |
| 2 | Rtx | 290.54 Bn | 282.23 Bn | 9.91 Bn |
| 3 | Boeing | 170.29 Bn | 150.27 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 133.52 Bn | 129.73 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 113.70 Bn | 111.26 Bn | 854.00 Mn |
| 6 | General Dynamics | 103.50 Bn | 99.17 Bn | 6.76 Bn |
| 7 | Northrop Grumman | 76.72 Bn | 74.42 Bn | 3.72 Bn |
| 8 | TransDigm | 73.38 Bn | 69.50 Bn | 1.51 Bn |
| 9 | L3Harris Technologies | 51.84 Bn | 51.25 Bn | 1.40 Bn |
| 10 | Hyperscale Data | 45.42 Mn | 34.87 Mn | 15.07 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 16.28 Mn |
| Dec 31, 2025 | 14.73 Mn |
| Sep 30, 2025 | 3.96 Mn |
| Jun 30, 2025 | 2.56 Mn |
| Mar 31, 2025 | 2.45 Mn |
| Dec 31, 2024 | 3.06 Mn |
| Sep 30, 2024 | 4.24 Mn |
| Jun 30, 2024 | 8.29 Mn |
| Mar 31, 2024 | 8.04 Mn |
| Dec 31, 2023 | 5.25 Mn |
| Sep 30, 2023 | 8.71 Mn |
| Jun 30, 2023 | 16.75 Mn |
| Mar 31, 2023 | 16.18 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 14.44 Mn |
| Jun 30, 2022 | 13.73 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 15.44 Mn |
| Sep 30, 2021 | 7.99 Mn |
| Jun 30, 2021 | 5.37 Mn |