Hyperscale Data (GPUS) Gross Margin (2010 - 2026)
Hyperscale Data (GPUS) recorded Gross Margin of 25.24% in Q2 2026, up 1.55 percentage points from 23.70% a year earlier but down 8.94 percentage points from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's Gross Margin came in at 26.14% as of Jun 30, 2026, up 5.21 percentage points year-over-year; for FY2025, it was 21.13%, down 1.58 percentage points from FY2024.
- Annual Gross Margin has a five-year change of -10.35 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 22.70% in FY2024 (+4.32 pp), 18.38% in FY2023 (-24.70 pp), 43.08% in FY2022 (-11.39 pp) and 54.47% in FY2021 (+22.99 pp).
- Quarterly Gross Margin has ranged from -117.12% in Q3 2021 to 68.03% in Q1 2022 over the past five years.
- On a year-over-year basis, Gross Margin has increased for three consecutive quarters, with an average year-over-year change of +6.35 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 159.63 percentage points in Q3 2022, against a drop of 151.30 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 34.19% (Q1 2026), 14.49% (Q4 2025) and 25.75% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | - |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | - |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 47.84% |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 75.71% |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | - |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 54.74% |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 61.04% |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 87.70% |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 65.60% |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 25.24% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.24% |
| Mar 31, 2026 | 34.19% |
| Dec 31, 2025 | 14.49% |
| Sep 30, 2025 | 25.75% |
| Jun 30, 2025 | 23.70% |
| Mar 31, 2025 | 21.11% |
| Dec 31, 2024 | 6.54% |
| Sep 30, 2024 | 27.51% |
| Jun 30, 2024 | -21.29% |
| Mar 31, 2024 | 47.41% |
| Dec 31, 2023 | 2.46% |
| Sep 30, 2023 | 20.26% |
| Jun 30, 2023 | 37.73% |
| Mar 31, 2023 | 8.59% |
| Dec 31, 2022 | 22.02% |
| Sep 30, 2022 | 42.51% |
| Jun 30, 2022 | 28.77% |
| Mar 31, 2022 | 68.03% |
| Dec 31, 2021 | 7.92% |
| Sep 30, 2021 | -117.12% |
API Access
Hyperscale Data Gross 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=gross-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();