Hyperscale Data, Inc. (GPUS-PD) EBIT Margin (2010 - 2026)
Hyperscale Data's EBIT Margin was -66.34% in Q2 2026, down 27.17 percentage points from -39.17% a year earlier and down 18.08 percentage points from the prior quarter.
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Hyperscale Data, Inc. (GPUS-PD) EBIT Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperscale Data's EBIT Margin was -69.26% through Jun 30, 2026, down 19.73 percentage points year-over-year; for FY2025, it was -60.98%, down 7.56 percentage points from FY2024.
- EBIT Margin shows a five-year change of -35.71 percentage points (FY2020 to FY2025).
- In earlier years, EBIT Margin was -53.42% in FY2024 (+57.30 pp), -110.72% in FY2023 (+7.85 pp), -118.57% in FY2022 (-83.53 pp) and -35.04% in FY2021 (-9.77 pp).
- Quarterly EBIT Margin has moved between -365.29% (Q4 2022) and 9.53% (Q1 2024) over five years.
- Compared with a year earlier, EBIT Margin has declined for three straight quarters, with an average year-over-year change of +8.65 percentage points over the last eight quarters.
- The best year-over-year quarter for EBIT Margin over five years was Q4 2023 (a gain of 194.93 percentage points); the worst was Q2 2022 (a drop of 210.34 percentage points).
- Per Business Quant data, GPUS-PD's EBIT Margin in the three quarters before Q2 2026 was -48.26% (Q1 2026), -117.81% (Q4 2025) and -57.78% (Q3 2025).
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -66.34% |
| Mar 31, 2026 | -48.26% |
| Dec 31, 2025 | -117.81% |
| Sep 30, 2025 | -57.78% |
| Jun 30, 2025 | -39.17% |
| Mar 31, 2025 | -25.51% |
| Dec 31, 2024 | -46.83% |
| Sep 30, 2024 | -79.18% |
| Jun 30, 2024 | -151.36% |
| Mar 31, 2024 | 9.53% |
| Dec 31, 2023 | -170.37% |
| Sep 30, 2023 | -47.23% |
| Jun 30, 2023 | -106.53% |
| Mar 31, 2023 | -103.18% |
| Dec 31, 2022 | -365.29% |
| Sep 30, 2022 | -15.83% |
| Jun 30, 2022 | -136.58% |
| Mar 31, 2022 | 3.14% |
| Dec 31, 2021 | -198.35% |
| Sep 30, 2021 | -161.96% |
API Access
Hyperscale Data, Inc. EBIT 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=ebit-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();