Hyperscale Data (GPUS) Convertible Debt (2016 - 2026)
Hyperscale Data (GPUS) reported Convertible Debt of $8.5 million for Q1 2026, up 8.01% on a QoQ basis from $7.8 million in Q4 2025.
Hyperscale Data (GPUS) has 11 years of Convertible Debt data on file, last reported at $8.5 million in Q1 2026.
- Quarterly Convertible Debt changed N/A year-over-year to $8.5 million in Q1 2026, while the trailing twelve-month figure through Mar 2026 was $8.5 million (changed N/A YoY) and the FY2025 annual result came in at $7.8 million, changed N/A from the prior year.
- Convertible Debt advanced to $8.5 million in Q1 2026 per GPUS's latest filing, from $7.8 million in the prior quarter.
- Across five years, Convertible Debt topped out at $14.2 million in Q2 2022 and bottomed at $488000.0 in Q1 2022.
- The 5-year median for Convertible Debt is $9.5 million (2023), against an average of $9.8 million.
- The widest annual swing landed in 2022, when Convertible Debt jumped 3227.63%; it then plunged 31.88% in 2023.
- Tracing GPUS's Convertible Debt over 5 years: stood at $11.5 million in 2022, then declined by 17.45% to $9.5 million in 2023, then changed by 0.0% to $9.5 million in 2024, then slipped by 17.03% to $7.8 million in 2025, then rose by 8.01% to $8.5 million in 2026.
- Per Business Quant, the three latest GPUS Convertible Debt figures stand at $8.5 million (Q1 2026), $7.8 million (Q4 2025), and $9.5 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 8.47 Mn |
| Dec 31, 2025 | 7.84 Mn |
| Sep 30, 2024 | 9.45 Mn |
| Jun 30, 2024 | 9.45 Mn |
| Mar 31, 2024 | 9.45 Mn |
| Dec 31, 2023 | 9.45 Mn |
| Sep 30, 2023 | 9.45 Mn |
| Jun 30, 2023 | 11.95 Mn |
| Mar 31, 2023 | 11.41 Mn |
| Dec 31, 2022 | 11.45 Mn |
| Sep 30, 2022 | 13.88 Mn |
| Jun 30, 2022 | 14.21 Mn |
| Mar 31, 2022 | 488,000.00 |
| Dec 31, 2021 | 660,000.00 |
| Sep 30, 2021 | 447,000.00 |
| Jun 30, 2021 | 427,000.00 |
| Mar 31, 2021 | 406,327.00 |
| Dec 31, 2020 | 386,000.00 |
| Sep 30, 2020 | 365,794.00 |
| Jun 30, 2020 | 345,305.00 |
| Mar 31, 2020 | 325,039.00 |
| Dec 31, 2019 | 304,773.00 |
| Sep 30, 2019 | 284,284.00 |
| Jun 30, 2019 | 263,795.00 |
| Mar 31, 2019 | 6.26 Mn |
| Dec 31, 2018 | 6.74 Mn |
| Sep 30, 2018 | 7.19 Mn |
| Dec 31, 2017 | 397,878.00 |
| Sep 30, 2017 | 465,000.00 |
| Jun 30, 2017 | 122,000.00 |
| Mar 31, 2017 | 530,000.00 |
| Dec 31, 2016 | 530,000.00 |