Hyperscale Data (GPUS) Net Margin (2010 - 2026)
Hyperscale Data (GPUS) posted Net Margin of -62.15% for Q2 2026, up 20.10 percentage points from -82.25% a year earlier and up 11.48 percentage points from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Net Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Hyperscale Data was -78.15%, down 22.77 percentage points year-over-year; for FY2025, it came in at -73.49%, down 15.85 percentage points from FY2024.
- Annual Net Margin shows a five-year change of +49.81 percentage points (FY2020 to FY2025).
- In prior years, Hyperscale Data's Net Margin was -57.64% in FY2024 (+114.71 pp), -172.35% in FY2023 (-17.46 pp), -154.89% in FY2022 (-110.48 pp) and -44.41% in FY2021 (+78.89 pp).
- The Q2 2026 figure stands as the highest quarterly Net Margin since Q1 2025.
- On a year-over-year basis, Net Margin increased in four of the last eight quarters, with an average year-over-year change of +31.53 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q4 2024, with a gain of 318.42 percentage points; the weakest was Q2 2022, with a drop of 207.07 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -73.63% (Q1 2026), -120.21% (Q4 2025) and -62.71% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | -29.46% |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 12.72% |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 1.34% |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | -498.45% |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 18.55% |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 11.85% |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 0.39% |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | -179.60% |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 7.64% |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | -62.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -62.15% |
| Mar 31, 2026 | -73.63% |
| Dec 31, 2025 | -120.21% |
| Sep 30, 2025 | -62.71% |
| Jun 30, 2025 | -82.25% |
| Mar 31, 2025 | -24.66% |
| Dec 31, 2024 | -9.40% |
| Sep 30, 2024 | -86.52% |
| Jun 30, 2024 | -198.04% |
| Mar 31, 2024 | 6.40% |
| Dec 31, 2023 | -327.82% |
| Sep 30, 2023 | -51.48% |
| Jun 30, 2023 | -128.68% |
| Mar 31, 2023 | -168.87% |
| Dec 31, 2022 | -394.29% |
| Sep 30, 2022 | -16.86% |
| Jun 30, 2022 | -148.61% |
| Mar 31, 2022 | -87.67% |
| Dec 31, 2021 | -215.20% |
| Sep 30, 2021 | -154.97% |
API Access
Hyperscale Data Net 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=net-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();