Hyperscale Data (GPUS) FCF Margin (2010 - 2026)
Hyperscale Data's FCF Margin came in at -47.19% for Q2 2026, down 33.68 percentage points from -13.51% a year earlier and down 22.78 percentage points from the prior quarter.
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Analysis
Hyperscale Data (GPUS) FCF Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyperscale Data reported FCF Margin of -79.85%, down 63.09 percentage points year-over-year; for FY2025, it came in at -85.25%, down 62.53 percentage points from FY2024.
- FCF Margin carries a five-year change of -35.99 percentage points (FY2020 to FY2025).
- Going back by year, FCF Margin was -22.73% in FY2024 (-7.77 pp), -14.96% in FY2023 (+46.94 pp), -61.90% in FY2022 (+345.86 pp) and -407.76% in FY2021 (-358.49 pp).
- The five-year range for quarterly FCF Margin is -1644.60% (Q4 2021) to 11.73% (Q1 2023).
- Year-over-year, FCF Margin increased in four of the last eight quarters, with an average year-over-year change of -30.37 percentage points.
- The fastest year-over-year change in FCF Margin over five years came in Q4 2022 (a gain of 1596.54 percentage points), and the weakest in Q4 2021 (a drop of 1563.23 percentage points).
- Business Quant data shows GPUS's FCF Margin at -24.41% (Q1 2026), -208.73% (Q4 2025) and -84.51% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 16.17% |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 20.44% |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 14.61% |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 351.43% |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 105.74% |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 18.61% |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 12.86% |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 62.27% |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 68.54% |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | -47.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.19% |
| Mar 31, 2026 | -24.41% |
| Dec 31, 2025 | -208.73% |
| Sep 30, 2025 | -84.51% |
| Jun 30, 2025 | -13.51% |
| Mar 31, 2025 | -27.33% |
| Dec 31, 2024 | -47.60% |
| Sep 30, 2024 | 8.37% |
| Jun 30, 2024 | -33.44% |
| Mar 31, 2024 | -30.33% |
| Dec 31, 2023 | -26.59% |
| Sep 30, 2023 | -31.56% |
| Jun 30, 2023 | -3.86% |
| Mar 31, 2023 | 11.73% |
| Dec 31, 2022 | -48.06% |
| Sep 30, 2022 | -10.78% |
| Jun 30, 2022 | -273.21% |
| Mar 31, 2022 | -18.14% |
| Dec 31, 2021 | -1,644.60% |
| Sep 30, 2021 | -187.59% |
API Access
Hyperscale Data FCF 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=fcf-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();