Hyperscale Data (GPUS) Net Margin (2010 - 2026)
Hyperscale Data (GPUS) posted quarterly Net Margin of 73.63% for Q1 2026, down 4897.0% year-over-year from 1.53% in Q1 2025, and up 38.75% quarter-over-quarter from 120.21% in Q4 2025.
Hyperscale Data (GPUS) Net Margin (2010 - 2026) Analysis & Trends
Hyperscale Data (GPUS) has reported Net Margin for 17 consecutive years, with 73.63% the latest figure, recorded in Q1 2026.
- In Q1 2026, Net Margin fell 4897.0% year-over-year to 73.63%; the TTM figure through Mar 2026 stood at 83.62% (down 849.0% YoY), while the FY2025 annual figure was 73.49%, down 1585.0% from the prior year.
- Net Margin rose to 73.63% in Q1 2026 per GPUS's latest filing, from 120.21% in the prior quarter.
- Across five years, Net Margin topped out at 6.4% in Q1 2024 and bottomed at 394.29% in Q4 2022.
- Historically, Net Margin has averaged 116.19% across 5 years, with a median of 86.52% in 2024.
- Annual changes were most pronounced in 2022 — Net Margin sank 20707 bps — and 2024, when it soared 31842 bps.
- Hyperscale Data's Net Margin stood at 394.29% in 2022, then gained by 17 bps to 327.82% in 2023, then soared by 97 bps to 9.4% in 2024, then tumbled by 1179 bps to 120.21% in 2025, then soared by 39 bps to 73.63% in 2026.
- Business Quant data shows GPUS's Net Margin at 73.63% in Q1 2026, 120.21% in Q4 2025, and 62.71% in Q3 2025.
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Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 361.67 Bn | 352.33 Bn | 6.95 Bn | 17.75% |
| 2 | Rtx | 285.65 Bn | 277.34 Bn | 9.91 Bn | 9.10% |
| 3 | Boeing | 168.68 Bn | 148.66 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 131.00 Bn | 127.21 Bn | 2.45 Bn | 9.15% |
| 5 | Howmet Aerospace | 108.85 Bn | 108.28 Bn | 951.00 Mn | 20.97% |
| 6 | General Dynamics | 103.96 Bn | 99.63 Bn | 6.76 Bn | 8.23% |
| 7 | Northrop Grumman | 79.10 Bn | 76.80 Bn | 3.72 Bn | 10.06% |
| 8 | TransDigm | 68.63 Bn | 65.85 Bn | 1.63 Bn | 19.66% |
| 9 | L3Harris Technologies | 50.16 Bn | 48.64 Bn | 1.50 Bn | 9.96% |
| 10 | Hyperscale Data | 34.27 Mn | 3.88 Mn | 15.07 Mn | -73.63% |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | -73.63% |
| Dec 31, 2025 | -120.21% |
| Sep 30, 2025 | -62.71% |
| Jun 30, 2025 | -82.25% |
| Mar 31, 2025 | -24.66% |
| Dec 31, 2024 | -9.40% |
| Sep 30, 2024 | -86.52% |
| Jun 30, 2024 | -198.04% |
| Mar 31, 2024 | 6.40% |
| Dec 31, 2023 | -327.82% |
| Sep 30, 2023 | -51.48% |
| Jun 30, 2023 | -128.68% |
| Mar 31, 2023 | -168.87% |
| Dec 31, 2022 | -394.29% |
| Sep 30, 2022 | -16.86% |
| Jun 30, 2022 | -148.61% |
| Mar 31, 2022 | -87.67% |
| Dec 31, 2021 | -215.20% |
| Sep 30, 2021 | -154.97% |
| Jun 30, 2021 | 58.46% |