Hyperscale Data (GPUS) Operating Margin (2010 - 2026)
Hyperscale Data (GPUS) posted Operating Margin of -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.
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Analysis
Hyperscale Data (GPUS) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Hyperscale Data was -69.26%, down 19.73 percentage points year-over-year; for FY2025, it came in at -60.98%, down 7.56 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of -35.71 percentage points (FY2020 to FY2025).
- In prior years, Hyperscale Data's 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).
- Quarterly Operating Margin has run from a low of -365.29% in Q4 2022 to a high of 9.53% in Q1 2024 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last three quarters, with an average year-over-year change of +8.65 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q4 2023, with a gain of 194.93 percentage points; the weakest was Q2 2022, with a drop of 210.34 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -48.26% (Q1 2026), -117.81% (Q4 2025) and -57.78% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | -9.30% |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 16.44% |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 6.75% |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | -452.09% |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 35.28% |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 19.18% |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 10.15% |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | -25.50% |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 15.16% |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | -66.34% |
Historic Data
Download Data
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 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "GPUS", "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&period=max&api_key=YOUR_API_KEY");
const data = await res.json();