Hyperscale Data, Inc. (GPUS-PD) Operating Margin (2010 - 2026)
Hyperscale Data's Operating Margin came in at -66.34% for Q2 2026, down 27.17 percentage points from -39.17% a year earlier and down 18.08 percentage points from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperscale Data reported Operating Margin of -69.26%, down 19.73 percentage points year-over-year; for FY2025, it was -60.98%, down 7.56 percentage points from FY2024.
- Operating Margin carries a five-year change of -35.71 percentage points (FY2020 to FY2025).
- Going back by year, Operating 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).
- The five-year range for quarterly Operating Margin is -365.29% (Q4 2022) to 9.53% (Q1 2024).
- Year-over-year, Operating Margin has declined for three consecutive quarters, with an average year-over-year change of +8.65 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2023 (a gain of 194.93 percentage points), and the weakest in Q2 2022 (a drop of 210.34 percentage points).
- Business Quant data shows GPUS-PD's Operating Margin at -48.26% (Q1 2026), -117.81% (Q4 2025) and -57.78% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
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% |
Hyperscale Data, Inc. Operating 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=operating-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();