Hyperscale Data, Inc. (GPUS-PD) EBITDA Margin (2010 - 2026)
Hyperscale Data (GPUS-PD) recorded EBITDA Margin of -53.10% in Q2 2026, down 32.40 percentage points from -20.70% a year earlier and down 19.30 percentage points from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's EBITDA Margin came in at -53.25% as of Jun 30, 2026, down 26.09 percentage points year-over-year; for FY2025, it came in at -41.57%, down 11.07 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -20.75 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -30.50% in FY2024 (+59.49 pp), -89.99% in FY2023 (+16.10 pp), -106.09% in FY2022 (-78.36 pp) and -27.73% in FY2021 (-6.91 pp).
- Quarterly EBITDA Margin has ranged from -344.37% in Q4 2022 to 24.23% in Q1 2024 over the past five years.
- On a year-over-year basis, EBITDA Margin has declined for three consecutive quarters, with an average year-over-year change of +6.20 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 192.21 percentage points in Q4 2023, against a drop of 189.91 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -33.80% (Q1 2026), -98.97% (Q4 2025) and -38.17% (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.10% |
| Mar 31, 2026 | -33.80% |
| Dec 31, 2025 | -98.97% |
| Sep 30, 2025 | -38.17% |
| Jun 30, 2025 | -20.70% |
| Mar 31, 2025 | -4.73% |
| Dec 31, 2024 | -22.22% |
| Sep 30, 2024 | -53.73% |
| Jun 30, 2024 | -117.02% |
| Mar 31, 2024 | 24.23% |
| Dec 31, 2023 | -152.16% |
| Sep 30, 2023 | -28.67% |
| Jun 30, 2023 | -87.43% |
| Mar 31, 2023 | -84.78% |
| Dec 31, 2022 | -344.37% |
| Sep 30, 2022 | -12.04% |
| Jun 30, 2022 | -114.68% |
| Mar 31, 2022 | 11.96% |
| Dec 31, 2021 | -175.03% |
| Sep 30, 2021 | -159.61% |
Hyperscale Data, Inc. EBITDA 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=ebitda-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();