Hyperscale Data (GPUS) Operating Leases (2019 - 2026)
Hyperscale Data's (GPUS) quarterly Operating Leases came in at $6.1 million in Q1 2026, up 103.45% year-on-year from $3.0 million in Q1 2025, and up 16.99% on a QoQ basis from $5.2 million in Q4 2025.
Hyperscale Data (GPUS) Operating Leases (2019 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has 8 years of Operating Leases data on file, last reported at $6.1 million in Q1 2026.
- On a quarterly basis, Operating Leases rose 103.45% year-over-year to $6.1 million in Q1 2026; TTM through Mar 2026 was $6.1 million, a 103.45% increase from a year earlier, with the FY2025 full-year figure at $5.2 million, up 129.09% from the prior year.
- Operating Leases for Q1 2026 stood at $6.1 million, up from $5.2 million in the prior quarter.
- Over the last five years, Operating Leases for GPUS reached as high as $8.7 million in Q3 2023 and fell as low as $2.2 million in Q4 2023.
- Historically, Operating Leases has averaged $4.6 million across 5 years, with a median of $5.1 million in 2023.
- Across the five-year window, Operating Leases plunged 73.11% in 2024 and soared 129.09% in 2025, its largest moves.
- Year by year, Operating Leases stood at $5.8 million in 2022, then sank by 62.94% to $2.2 million in 2023, then increased by 4.9% to $2.3 million in 2024, then surged by 129.09% to $5.2 million in 2025, then rose by 16.99% to $6.1 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $6.1 million in Q1 2026, $5.2 million in Q4 2025, and $3.2 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 375.97 Bn | 366.62 Bn | -3.10 Bn |
| 2 | Rtx | 290.62 Bn | 282.32 Bn | 9.91 Bn |
| 3 | Boeing | 170.40 Bn | 150.38 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 133.62 Bn | 129.83 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 113.86 Bn | 111.42 Bn | 854.00 Mn |
| 6 | General Dynamics | 103.42 Bn | 99.08 Bn | 6.76 Bn |
| 7 | Northrop Grumman | 77.07 Bn | 74.77 Bn | 3.72 Bn |
| 8 | TransDigm | 73.40 Bn | 69.51 Bn | 1.51 Bn |
| 9 | L3Harris Technologies | 51.88 Bn | 51.29 Bn | 1.40 Bn |
| 10 | Hyperscale Data | 45.34 Mn | 34.80 Mn | 15.07 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 6.08 Mn |
| Dec 31, 2025 | 5.20 Mn |
| Sep 30, 2025 | 3.15 Mn |
| Jun 30, 2025 | 3.40 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 2.27 Mn |
| Sep 30, 2024 | 2.34 Mn |
| Jun 30, 2024 | 4.74 Mn |
| Mar 31, 2024 | 5.51 Mn |
| Dec 31, 2023 | 2.16 Mn |
| Sep 30, 2023 | 8.70 Mn |
| Jun 30, 2023 | 5.15 Mn |
| Mar 31, 2023 | 5.26 Mn |
| Dec 31, 2022 | 5.84 Mn |
| Sep 30, 2022 | 4.98 Mn |
| Jun 30, 2022 | 5.54 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 4.21 Mn |
| Sep 30, 2021 | 4.27 Mn |
| Jun 30, 2021 | 3.79 Mn |