Hyperscale Data (GPUS) Market Capitalization (2011 - 2026)
Hyperscale Data (GPUS) recorded Market Capitalization of $332.65 million in Q2 2026, up 47.8% from $225.03 million a year earlier and up 16.5% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Market Capitalization (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data reported Market Capitalization of $313.01 million, up 105.8% from FY2024.
- Annual Market Capitalization has a five-year compound annual growth rate of -80.4% (FY2020 to FY2025).
- Across earlier years, Market Capitalization came in at $152.08 million in FY2024, $7.78 million in FY2023 (-91.6%), $92.26 million in FY2022 (-100.0%) and $293.01 billion in FY2021 (-72.6%).
- The Q2 2026 figure is the highest quarterly Market Capitalization since Q2 2023.
- On a year-over-year basis, Market Capitalization has increased for four consecutive quarters, with growth averaging 85.6% over the last seven quarters.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 675.2% in Q3 2021, against a decline of 100.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $285.55 million (Q1 2026), $313.01 million (Q4 2025) and $305.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | PayPal Holdings | 50.30 Bn | 8.53 Bn | - |
| 2 | Block | 47.52 Bn | 18.82 Bn | 3.17 Bn |
| 3 | Coinbase Global | 46.02 Bn | 2.82 Bn | - |
| 4 | Corpay | 26.86 Bn | 16.74 Bn | - |
| 5 | Fiserv | 25.68 Bn | 22.35 Bn | 2.90 Bn |
| 6 | Global Payments | 22.82 Bn | 615.05 Mn | 2.03 Bn |
| 7 | Guidewire Software | 15.62 Bn | 12.18 Bn | 269.68 Mn |
| 8 | Bitmine Immersion Technologies | 12.85 Bn | 10.23 Bn | 40.81 Mn |
| 9 | Chime Financial | 11.74 Bn | 7.54 Bn | 594.87 Mn |
| 10 | Hyperscale Data | 66.96 Mn | -131.35 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332.65 Mn |
| Mar 31, 2026 | 285.55 Mn |
| Dec 31, 2025 | 313.01 Mn |
| Sep 30, 2025 | 305.06 Mn |
| Jun 30, 2025 | 225.03 Mn |
| Mar 31, 2025 | 70.07 Mn |
| Dec 31, 2024 | 152.08 Mn |
| Sep 30, 2024 | 251.90 Mn |
| Jun 30, 2024 | 317.62 Mn |
| Mar 31, 2024 | 29.90 Mn |
| Dec 31, 2023 | 7.78 Mn |
| Sep 30, 2023 | 225.05 Mn |
| Jun 30, 2023 | 706.33 Mn |
| Mar 31, 2023 | 120.48 Mn |
| Dec 31, 2022 | 92.26 Mn |
| Sep 30, 2022 | 5.25 Bn |
| Jun 30, 2022 | 7.48 Bn |
| Mar 31, 2022 | 1,958.61 Bn |
| Dec 31, 2021 | 1,932.14 Bn |
| Sep 30, 2021 | 3,945.45 Bn |
API Access
Hyperscale Data Market Capitalization 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=market-capitalization&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();