Hyperscale Data (GPUS) EPS (Basic) (2019 - 2026)
Hyperscale Data (GPUS) posted quarterly EPS (Basic) of -$0.09 for Q1 2026, up 91.32% year-over-year from -$0.04 in Q1 2025, and up 76.09% quarter-over-quarter from -$0.36 in Q4 2025.
Hyperscale Data (GPUS) EPS (Basic) (2019 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has reported EPS (Basic) for 8 consecutive years, with -$0.09 the latest figure, recorded in Q1 2026.
- In Q1 2026, EPS (Basic) rose 91.32% year-over-year to -$0.09; the TTM figure through Mar 2026 stood at -$0.27 (up 97.61% YoY), while the FY2025 annual figure was -$0.83, up 98.78% from the prior year.
- EPS (Basic) rose to -$0.09 in Q1 2026 per GPUS's latest filing, from -$0.36 in the prior quarter.
- Across five years, EPS (Basic) topped out at $5.34 in Q1 2024 and bottomed at -$140213.5 in Q4 2022.
- Historically, EPS (Basic) has averaged -$20128.6 across 5 years, with a median of -$37.82 in 2024.
- Annual changes were most pronounced in 2022 — EPS (Basic) slumped 349.75% — and 2024, when it jumped 100.01%.
- Hyperscale Data's EPS (Basic) stood at -$140213.5 in 2022, then jumped by 96.46% to -$4960.4 in 2023, then surged by 99.96% to -$2.02 in 2024, then soared by 82.39% to -$0.36 in 2025, then soared by 76.09% to -$0.09 in 2026.
- Business Quant data shows GPUS's EPS (Basic) at -$0.09 in Q1 2026, -$0.36 in Q4 2025, and -$0.39 in Q3 2025.
Powered by 
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 362.91 Bn | 353.56 Bn | 6.95 Bn | 2.28 |
| 2 | Rtx | 287.06 Bn | 278.76 Bn | 9.91 Bn | 1.67 |
| 3 | Boeing | 169.46 Bn | 149.44 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 130.89 Bn | 127.10 Bn | 2.45 Bn | 7.98 |
| 5 | Howmet Aerospace | 110.45 Bn | 109.89 Bn | 951.00 Mn | 1.34 |
| 6 | General Dynamics | 104.38 Bn | 100.05 Bn | 6.76 Bn | 4.29 |
| 7 | Northrop Grumman | 79.22 Bn | 76.91 Bn | 3.72 Bn | 7.70 |
| 8 | TransDigm | 68.69 Bn | 65.92 Bn | 1.63 Bn | 9.39 |
| 9 | L3Harris Technologies | 50.12 Bn | 48.60 Bn | 1.50 Bn | 3.15 |
| 10 | Hyperscale Data | 34.27 Mn | 3.88 Mn | 15.07 Mn | -0.09 |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | -0.09 |
| Dec 31, 2025 | -0.36 |
| Sep 30, 2025 | -0.39 |
| Jun 30, 2025 | -2.66 |
| Mar 31, 2025 | -0.98 |
| Dec 31, 2024 | -2.02 |
| Sep 30, 2024 | -24.82 |
| Jun 30, 2024 | -37.82 |
| Mar 31, 2024 | 5.34 |
| Dec 31, 2023 | -4,960.40 |
| Sep 30, 2023 | -3,474.24 |
| Jun 30, 2023 | -43,824.71 |
| Mar 31, 2023 | -36,392.41 |
| Dec 31, 2022 | -140,213.54 |
| Sep 30, 2022 | -6,667.56 |
| Jun 30, 2022 | -23,419.24 |
| Mar 31, 2022 | -83,170.52 |
| Dec 31, 2021 | -150,258.93 |
| Sep 30, 2021 | -213,049.11 |
| Jun 30, 2021 | 188,181.35 |