Hyperscale Data, Inc. (GPUS-PD) Gross Margin (2010 - 2026)
Hyperscale Data's Gross Margin was 25.24% in Q2 2026, up 1.55 percentage points from 23.70% a year earlier but down 8.94 percentage points from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Gross Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperscale Data's Gross Margin was 26.14% through Jun 30, 2026, up 5.21 percentage points year-over-year; for FY2025, it was 21.13%, down 1.58 percentage points from FY2024.
- Gross Margin shows a five-year change of -10.35 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 22.70% in FY2024 (+4.32 pp), 18.38% in FY2023 (-24.70 pp), 43.08% in FY2022 (-11.39 pp) and 54.47% in FY2021 (+22.99 pp).
- Quarterly Gross Margin has moved between -117.12% (Q3 2021) and 68.03% (Q1 2022) over five years.
- Compared with a year earlier, Gross Margin has increased for three straight quarters, with an average year-over-year change of +6.35 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was Q3 2022 (a gain of 159.63 percentage points); the worst was Q3 2021 (a drop of 151.30 percentage points).
- Per Business Quant data, GPUS-PD's Gross Margin in the three quarters before Q2 2026 was 34.19% (Q1 2026), 14.49% (Q4 2025) and 25.75% (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.24% |
| Mar 31, 2026 | 34.19% |
| Dec 31, 2025 | 14.49% |
| Sep 30, 2025 | 25.75% |
| Jun 30, 2025 | 23.70% |
| Mar 31, 2025 | 21.11% |
| Dec 31, 2024 | 6.54% |
| Sep 30, 2024 | 27.51% |
| Jun 30, 2024 | -21.29% |
| Mar 31, 2024 | 47.41% |
| Dec 31, 2023 | 2.46% |
| Sep 30, 2023 | 20.26% |
| Jun 30, 2023 | 37.73% |
| Mar 31, 2023 | 8.59% |
| Dec 31, 2022 | 22.02% |
| Sep 30, 2022 | 42.51% |
| Jun 30, 2022 | 28.77% |
| Mar 31, 2022 | 68.03% |
| Dec 31, 2021 | 7.92% |
| Sep 30, 2021 | -117.12% |
API Access
Hyperscale Data, Inc. Gross 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=gross-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();