Hyperscale Data, Inc. (GPUS-PD) Net Margin (2010 - 2026)
Hyperscale Data (GPUS-PD) recorded Net Margin of -62.15% in Q2 2026, up 20.10 percentage points from -82.25% a year earlier and up 11.48 percentage points from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Net Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's Net Margin came in at -78.15% as of Jun 30, 2026, down 22.77 percentage points year-over-year; for FY2025, it was -73.49%, down 15.85 percentage points from FY2024.
- Annual Net Margin has a five-year change of +49.81 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at -57.64% in FY2024 (+114.71 pp), -172.35% in FY2023 (-17.46 pp), -154.89% in FY2022 (-110.48 pp) and -44.41% in FY2021 (+78.89 pp).
- The Q2 2026 figure is the highest quarterly Net Margin since Q1 2025.
- On a year-over-year basis, Net Margin rose in four of the last eight quarters, with an average year-over-year change of +31.53 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 318.42 percentage points in Q4 2024, against a drop of 207.07 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -73.63% (Q1 2026), -120.21% (Q4 2025) and -62.71% (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -62.15% |
| 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% |
API Access
Hyperscale Data, Inc. Net Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "GPUS-PD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();