Hyperscale Data (GPUS) Times Interest Earned (2018 - 2026)
Hyperscale Data (GPUS) reported Times Interest Earned of -$3.25 for Q1 2026, down 95.43% year-over-year from -$71.16 in Q1 2025, and down 129.96% on a QoQ basis from $10.85 in Q4 2025.
Hyperscale Data (GPUS) has 9 years of Times Interest Earned data on file, last reported at -$3.25 in Q1 2026.
- Quarterly Times Interest Earned fell 95.43% year-over-year to -$3.25 in Q1 2026, while the trailing twelve-month figure through Mar 2026 was -$1.52 (up 57.47% YoY) and the FY2025 annual result came in at -$0.85, up 69.15% from the prior year.
- Times Interest Earned retreated to -$3.25 in Q1 2026 per GPUS's latest filing, from $10.85 in the prior quarter.
- Across five years, Times Interest Earned topped out at $10.85 in Q4 2025 and bottomed at -$21.09 in Q4 2022.
- The 5-year median for Times Interest Earned is -$3.17 (2023), against an average of -$3.7.
- The widest annual swing landed in 2023, when Times Interest Earned plunged 7246.23%; it then surged 318.72% in 2025.
- Tracing GPUS's Times Interest Earned over 5 years: stood at -$21.09 in 2022, then soared by 72.93% to -$5.71 in 2023, then increased by 13.13% to -$4.96 in 2024, then soared by 318.72% to $10.85 in 2025, then slumped by 129.96% to -$3.25 in 2026.
- Per Business Quant, the three latest GPUS Times Interest Earned figures stand at -$3.25 (Q1 2026), $10.85 (Q4 2025), and -$4.59 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 316.77 Bn | 306.03 Bn | 9.11 Bn | -4.64 |
| 2 | Rtx | 238.61 Bn | 233.51 Bn | 9.08 Bn | - |
| 3 | Boeing | 172.59 Bn | 151.68 Bn | 2.55 Bn | 0.73 |
| 4 | Lockheed Martin | 122.59 Bn | 120.70 Bn | 2.08 Bn | 7.67 |
| 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 | -43.93 |
| 8 | Northrop Grumman | 78.95 Bn | 76.86 Bn | 3.45 Bn | 6.10 |
| 9 | TransDigm | 70.63 Bn | 66.75 Bn | 1.51 Bn | 2.43 |
| 10 | Hyperscale Data | 62.25 Mn | 31.87 Mn | 15.07 Mn | -3.25 |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | -3.25 |
| Dec 31, 2025 | -20.40 |
| Sep 30, 2025 | -4.59 |
| Jun 30, 2025 | -1.32 |
| Mar 31, 2025 | -1.66 |
| Dec 31, 2024 | -4.96 |
| Sep 30, 2024 | -3.17 |
| Jun 30, 2024 | -5.06 |
| Mar 31, 2024 | 0.65 |
| Dec 31, 2023 | -5.71 |
| Sep 30, 2023 | -3.32 |
| Jun 30, 2023 | -3.17 |
| Mar 31, 2023 | -2.47 |
| Dec 31, 2022 | -21.09 |
| Sep 30, 2022 | -2.96 |
| Jun 30, 2022 | -11.68 |
| Mar 31, 2022 | 0.03 |
| Dec 31, 2021 | -11.11 |
| Sep 30, 2021 | -356.24 |
| Jun 30, 2021 | 2,082.86 |
| Mar 31, 2021 | 3.82 |
| Dec 31, 2020 | -0.07 |
| Sep 30, 2020 | -0.69 |
| Jun 30, 2020 | -0.80 |
| Mar 31, 2020 | -2.70 |
| Dec 31, 2019 | -5.33 |
| Sep 30, 2019 | -2.60 |
| Jun 30, 2019 | -6.84 |
| Mar 31, 2019 | -2.11 |
| Dec 31, 2018 | -1.72 |
| Sep 30, 2018 | -1.03 |
| Jun 30, 2018 | -1.17 |