Hyperscale Data (GPUS) EBT Margin (2010 - 2026)
Hyperscale Data's EBT Margin came in at -54.46% for Q2 2026, up 13.10 percentage points from -67.55% a year earlier and up 13.42 percentage points from the prior quarter.
Hyperscale Data (GPUS) EBT Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperscale Data reported EBT Margin of -70.73%, down 13.29 percentage points year-over-year; for FY2025, it came in at -63.94%, down 6.09 percentage points from FY2024.
- EBT Margin carries a five-year change of +62.15 percentage points (FY2020 to FY2025).
- Going back by year, EBT Margin was -57.85% in FY2024 (+120.55 pp), -178.40% in FY2023 (-18.23 pp), -160.17% in FY2022 (-116.46 pp) and -43.72% in FY2021 (+82.38 pp).
- The Q2 2026 figure represents the highest quarterly EBT Margin since Q1 2025.
- Year-over-year, EBT Margin increased in four of the last eight quarters, with an average year-over-year change of +38.52 percentage points.
- The fastest year-over-year change in EBT Margin over five years came in Q4 2024 (a gain of 324.10 percentage points), and the weakest in Q2 2022 (a drop of 211.32 percentage points).
- Business Quant data shows GPUS's EBT Margin at -67.88% (Q1 2026), -110.87% (Q4 2025) and -54.80% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.08 Bn | 8.30 Bn | - | 15.09% |
| 2 | Block | 46.71 Bn | 18.00 Bn | 3.17 Bn | 4.56% |
| 3 | Coinbase Global | 45.00 Bn | 1.80 Bn | - | -32.41% |
| 4 | Corpay | 26.84 Bn | 16.72 Bn | - | 25.75% |
| 5 | Fiserv | 25.68 Bn | 22.36 Bn | 2.90 Bn | 14.64% |
| 6 | Global Payments | 22.94 Bn | 732.47 Mn | 2.03 Bn | 3.14% |
| 7 | Guidewire Software | 15.52 Bn | 12.08 Bn | 269.68 Mn | 11.02% |
| 8 | Bitmine Immersion Technologies | 12.62 Bn | 10.00 Bn | 40.81 Mn | -179.64% |
| 9 | Chime Financial | 11.56 Bn | 7.35 Bn | 594.87 Mn | 4.19% |
| 10 | Hyperscale Data | 67.58 Mn | -130.73 Mn | 8.80 Mn | -54.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -54.46% |
| Mar 31, 2026 | -67.88% |
| Dec 31, 2025 | -110.87% |
| Sep 30, 2025 | -54.80% |
| Jun 30, 2025 | -67.55% |
| Mar 31, 2025 | -18.64% |
| Dec 31, 2024 | -22.12% |
| Sep 30, 2024 | -102.39% |
| Jun 30, 2024 | -223.61% |
| Mar 31, 2024 | 36.98% |
| Dec 31, 2023 | -346.22% |
| Sep 30, 2023 | -63.33% |
| Jun 30, 2023 | -132.64% |
| Mar 31, 2023 | -158.48% |
| Dec 31, 2022 | -425.02% |
| Sep 30, 2022 | -17.95% |
| Jun 30, 2022 | -148.96% |
| Mar 31, 2022 | -87.70% |
| Dec 31, 2021 | -213.79% |
| Sep 30, 2021 | -165.58% |
Hyperscale Data EBT 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=ebt-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();