Hyperscale Data (GPUS) Current Leases (2019 - 2026)
Hyperscale Data (GPUS) reported Current Leases of $2.0 million for Q1 2026, up 32.57% year-over-year from $1.5 million in Q1 2025, and up 11.15% on a QoQ basis from $1.8 million in Q4 2025.
Hyperscale Data (GPUS) has 8 years of Current Leases data on file, last reported at $2.0 million in Q1 2026.
- Quarterly Current Leases rose 32.57% year-over-year to $2.0 million in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $2.0 million (up 32.57% YoY) and the FY2025 annual result came in at $1.8 million, up 9.16% from the prior year.
- Current Leases improved to $2.0 million in Q1 2026 per GPUS's latest filing, from $1.8 million in the prior quarter.
- Across five years, Current Leases topped out at $3.0 million in Q1 2023 and bottomed at $1.2 million in Q3 2025.
- The 5-year median for Current Leases is $1.9 million (2023), against an average of $2.0 million.
- The widest annual swing landed in 2022, when Current Leases jumped 183.56%; it then tumbled 53.75% in 2023.
- Tracing GPUS's Current Leases over 5 years: stood at $3.0 million in 2022, then plunged by 53.75% to $1.4 million in 2023, then increased by 18.24% to $1.6 million in 2024, then rose by 9.16% to $1.8 million in 2025, then advanced by 11.15% to $2.0 million in 2026.
- Per Business Quant, the three latest GPUS Current Leases figures stand at $2.0 million (Q1 2026), $1.8 million (Q4 2025), and $1.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (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 | 1.97 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 1.78 Mn |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 2.37 Mn |
| Mar 31, 2024 | 2.39 Mn |
| Dec 31, 2023 | 1.38 Mn |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | 2.48 Mn |
| Mar 31, 2023 | 2.99 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 2.83 Mn |
| Jun 30, 2022 | 2.48 Mn |
| Mar 31, 2022 | 1.74 Mn |
| Dec 31, 2021 | 1.12 Mn |
| Sep 30, 2021 | 1.01 Mn |
| Jun 30, 2021 | 876,000.00 |
| Mar 31, 2021 | 855,933.00 |
| Dec 31, 2020 | 524,000.00 |
| Sep 30, 2020 | 514,910.00 |
| Jun 30, 2020 | 471,651.00 |
| Mar 31, 2020 | 468,388.00 |
| Dec 31, 2019 | 484,819.00 |
| Sep 30, 2019 | 741,433.00 |
| Jun 30, 2019 | 786,740.00 |
| Mar 31, 2019 | 856,475.00 |