Hyperscale Data (GPUS) Notes Payables (2010 - 2026)
Hyperscale Data's (GPUS) quarterly Notes Payables came in at $4.9 million in Q1 2026, down 94.67% year-on-year from $91.9 million in Q1 2025, and down 94.03% on a QoQ basis from $82.1 million in Q4 2025.
Hyperscale Data (GPUS) Notes Payables (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has 17 years of Notes Payables data on file, last reported at $4.9 million in Q1 2026.
- On a quarterly basis, Notes Payables fell 94.67% year-over-year to $4.9 million in Q1 2026; TTM through Mar 2026 was $4.9 million, a 94.67% decrease from a year earlier, with the FY2025 full-year figure at $82.1 million, down 14.32% from the prior year.
- Notes Payables for Q1 2026 stood at $4.9 million, down from $82.1 million in the prior quarter.
- Over the last five years, Notes Payables for GPUS reached as high as $95.8 million in Q4 2024 and fell as low as -$89.6 million in Q2 2024.
- Historically, Notes Payables has averaged $25.7 million across 5 years, with a median of $26.5 million in 2023.
- Across the five-year window, Notes Payables tumbled 505.97% in 2022 and soared 1916.69% in 2023, its largest moves.
- Year by year, Notes Payables stood at $39.6 million in 2022, then sank by 81.39% to $7.4 million in 2023, then surged by 1198.55% to $95.8 million in 2024, then fell by 14.32% to $82.1 million in 2025, then sank by 94.03% to $4.9 million in 2026.
- Per Business Quant data, the three most recent Notes Payables figures were $4.9 million in Q1 2026, $82.1 million in Q4 2025, and $78.4 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 | 4.90 Mn |
| Dec 31, 2025 | 82.06 Mn |
| Sep 30, 2025 | 78.36 Mn |
| Jun 30, 2025 | 87.68 Mn |
| Mar 31, 2025 | 91.91 Mn |
| Dec 31, 2024 | 95.77 Mn |
| Sep 30, 2024 | -87.73 Mn |
| Jun 30, 2024 | -89.64 Mn |
| Mar 31, 2024 | 12.37 Mn |
| Dec 31, 2023 | 7.38 Mn |
| Sep 30, 2023 | 30.26 Mn |
| Jun 30, 2023 | 46.43 Mn |
| Mar 31, 2023 | 26.46 Mn |
| Dec 31, 2022 | 39.62 Mn |
| Sep 30, 2022 | 17.13 Mn |
| Jun 30, 2022 | -7.34 Mn |
| Mar 31, 2022 | 1.31 Mn |
| Dec 31, 2021 | -39.55 Mn |
| Sep 30, 2021 | 1.70 Mn |
| Jun 30, 2021 | 1.81 Mn |