Hyperscale Data (GPUS) EBITDA Margin (2010 - 2026)
Hyperscale Data (GPUS) posted EBITDA Margin of -53.10% for Q2 2026, down 32.40 percentage points from -20.70% a year earlier and down 19.30 percentage points from the prior quarter.
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Analysis
Hyperscale Data (GPUS) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Hyperscale Data was -53.25%, down 26.09 percentage points year-over-year; for FY2025, it was -41.57%, down 11.07 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -20.75 percentage points (FY2020 to FY2025).
- In prior years, Hyperscale Data's EBITDA Margin was -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 run from a low of -344.37% in Q4 2022 to a high of 24.23% in Q1 2024 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last three quarters, with an average year-over-year change of +6.20 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2023, with a gain of 192.21 percentage points; the weakest was Q2 2022, with a drop of 189.91 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -33.80% (Q1 2026), -98.97% (Q4 2025) and -38.17% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - | 19.27% |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn | 8.19% |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - | -5.44% |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - | 44.38% |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn | 35.62% |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn | 37.59% |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn | 19.18% |
| 8 | Bitmine Immersion Technologies | 12.62 Bn | 10.00 Bn | 40.81 Mn | -24.67% |
| 9 | Chime Financial | 11.56 Bn | 7.35 Bn | 594.87 Mn | 4.32% |
| 10 | Hyperscale Data | 67.58 Mn | -130.73 Mn | 8.80 Mn | -48.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -48.36% |
| Mar 31, 2026 | -30.18% |
| Dec 31, 2025 | -100.06% |
| Sep 30, 2025 | -37.48% |
| Jun 30, 2025 | -5.62% |
| Mar 31, 2025 | -0.31% |
| Dec 31, 2024 | -25.56% |
| Sep 30, 2024 | -49.34% |
| Jun 30, 2024 | -109.73% |
| Mar 31, 2024 | 34.01% |
| Dec 31, 2023 | -154.96% |
| Sep 30, 2023 | -27.20% |
| Jun 30, 2023 | -72.28% |
| Mar 31, 2023 | -48.85% |
| Dec 31, 2022 | -334.80% |
| Sep 30, 2022 | -11.80% |
| Jun 30, 2022 | -114.50% |
| Mar 31, 2022 | 92.57% |
| Dec 31, 2021 | -82.46% |
| Sep 30, 2021 | -159.54% |
API Access
Hyperscale Data 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&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();