Hyperscale Data (GPUS-PD) Operating Expenses (2010 - 2026)
Hyperscale Data's (GPUS-PD) quarterly Operating Expenses came in at $36.3 million in Q1 2026, up 211.5% year-on-year from $11.7 million in Q1 2025, and up 2.09% on a QoQ basis from $35.6 million in Q4 2025.
Hyperscale Data (GPUS-PD) Operating Expenses (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS-PD) has 17 years of Operating Expenses data on file, last reported at $36.3 million in Q1 2026.
- On a quarterly basis, Operating Expenses rose 211.5% year-over-year to $36.3 million in Q1 2026; TTM through Mar 2026 was $108.5 million, a 38.55% increase from a year earlier, with the FY2025 full-year figure at $83.8 million, up 3.26% from the prior year.
- Operating Expenses for Q1 2026 stood at $36.3 million, up from $35.6 million in the prior quarter.
- Over the last five years, Operating Expenses for GPUS-PD reached as high as $118.0 million in Q4 2022 and fell as low as $10.4 million in Q4 2024.
- Historically, Operating Expenses has averaged $34.0 million across 5 years, with a median of $28.7 million in 2022.
- Across the five-year window, Operating Expenses surged 631.79% in 2022 and plunged 80.39% in 2024, its largest moves.
- Year by year, Operating Expenses stood at $118.0 million in 2022, then slumped by 55.18% to $52.9 million in 2023, then plunged by 80.39% to $10.4 million in 2024, then jumped by 243.08% to $35.6 million in 2025, then gained by 2.09% to $36.3 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $36.3 million in Q1 2026, $35.6 million in Q4 2025, and $20.3 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 379.57 Bn | 370.22 Bn | -3.10 Bn | 10.86 Bn |
| 2 | Rtx | 293.92 Bn | 285.61 Bn | 9.91 Bn | 21.96 Bn |
| 3 | Boeing | 169.04 Bn | 148.13 Bn | 2.55 Bn | 2.10 Bn |
| 4 | Lockheed Martin | 134.53 Bn | 130.74 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 118.29 Bn | 115.86 Bn | 854.00 Mn | 27.00 Mn |
| 6 | General Dynamics | 105.84 Bn | 102.14 Bn | 9.09 Bn | 12.06 Bn |
| 7 | Northrop Grumman | 77.71 Bn | 75.40 Bn | 3.72 Bn | 9.78 Bn |
| 8 | TransDigm | 74.23 Bn | 70.35 Bn | 1.51 Bn | 273.00 Mn |
| 9 | L3Harris Technologies | 56.91 Bn | 56.32 Bn | 1.40 Bn | 750.00 Mn |
| 10 | Hyperscale Data | 143,662.50 | -4.49 Mn | 15.07 Mn | 36.34 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 36.34 Mn |
| Dec 31, 2025 | 35.60 Mn |
| Sep 30, 2025 | 20.32 Mn |
| Jun 30, 2025 | 16.25 Mn |
| Mar 31, 2025 | 11.67 Mn |
| Dec 31, 2024 | 10.38 Mn |
| Sep 30, 2024 | 33.14 Mn |
| Jun 30, 2024 | 23.14 Mn |
| Mar 31, 2024 | 14.53 Mn |
| Dec 31, 2023 | 52.90 Mn |
| Sep 30, 2023 | 29.08 Mn |
| Jun 30, 2023 | 68.39 Mn |
| Mar 31, 2023 | 32.35 Mn |
| Dec 31, 2022 | 118.04 Mn |
| Sep 30, 2022 | 25.83 Mn |
| Jun 30, 2022 | 28.72 Mn |
| Mar 31, 2022 | 21.30 Mn |
| Dec 31, 2021 | 16.13 Mn |
| Sep 30, 2021 | 13.81 Mn |
| Jun 30, 2021 | 10.03 Mn |