Hyperscale Data (GPUS) Notes Payables (2010 - 2026)
Hyperscale Data (GPUS) posted quarterly Notes Payables of $4.9 million for Q1 2026, down 94.67% year-over-year from $91.9 million in Q1 2025, and down 94.03% quarter-over-quarter from $82.1 million in Q4 2025.
Hyperscale Data (GPUS) Notes Payables (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has reported Notes Payables for 17 consecutive years, with $4.9 million the latest figure, recorded in Q1 2026.
- In Q1 2026, Notes Payables fell 94.67% year-over-year to $4.9 million; the TTM figure through Mar 2026 stood at $4.9 million (down 94.67% YoY), while the FY2025 annual figure was $82.1 million, down 14.32% from the prior year.
- Notes Payables fell to $4.9 million in Q1 2026 per GPUS's latest filing, from $82.1 million in the prior quarter.
- Across five years, Notes Payables topped out at $95.8 million in Q4 2024 and bottomed at -$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.
- Annual changes were most pronounced in 2022 — Notes Payables sank 505.97% — and 2023, when it surged 1916.69%.
- Hyperscale Data's Notes Payables stood at $39.6 million in 2022, then sank by 81.39% to $7.4 million in 2023, then soared by 1198.55% to $95.8 million in 2024, then dropped by 14.32% to $82.1 million in 2025, then sank by 94.03% to $4.9 million in 2026.
- Business Quant data shows GPUS's Notes Payables at $4.9 million in Q1 2026, $82.1 million in Q4 2025, and $78.4 million in Q3 2025.
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Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 362.97 Bn | 353.63 Bn | 6.95 Bn |
| 2 | Rtx | 284.87 Bn | 276.57 Bn | 9.91 Bn |
| 3 | Boeing | 168.69 Bn | 148.67 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 130.72 Bn | 126.93 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 108.91 Bn | 108.35 Bn | 951.00 Mn |
| 6 | General Dynamics | 103.62 Bn | 99.29 Bn | 6.76 Bn |
| 7 | Northrop Grumman | 78.52 Bn | 76.21 Bn | 3.72 Bn |
| 8 | TransDigm | 68.75 Bn | 65.98 Bn | 1.63 Bn |
| 9 | Axon Enterprise | 50.66 Bn | 49.99 Bn | 546.45 Mn |
| 10 | Hyperscale Data | 34.27 Mn | 3.88 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 |