Hyperscale Data (GPUS) Assets (2010 - 2026)
Hyperscale Data (GPUS) posted Assets of $360.04 million for Q2 2026, up 68.6% from $213.5 million a year earlier and up 12.7% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Assets came in at $313.71 million, up 42.1% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Assets was $220.77 million in FY2024 (-26.2%), $299.19 million in FY2023 (-46.7%), $561.51 million in FY2022 (+14.5%) and $490.29 million in FY2021 (+548.2%).
- The Q2 2026 figure stands as the highest quarterly Assets since Q3 2023.
- On a year-over-year basis, Assets has increased in each of the last four quarters, with growth averaging 6.0% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2021, with growth of 548.2%; the weakest was Q4 2023, with a decline of 46.7%.
- According to Business Quant data, Assets for the three prior quarters was $319.56 million (Q1 2026), $313.71 million (Q4 2025) and $242.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 26.46 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 82.74 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 39.16 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 15.79 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 28.22 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 80.89 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 63.57 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 11.63 Bn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 2.58 Bn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 360.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 360.04 Mn |
| Mar 31, 2026 | 319.56 Mn |
| Dec 31, 2025 | 313.71 Mn |
| Sep 30, 2025 | 242.39 Mn |
| Jun 30, 2025 | 213.50 Mn |
| Mar 31, 2025 | 218.55 Mn |
| Dec 31, 2024 | 220.77 Mn |
| Sep 30, 2024 | 231.49 Mn |
| Jun 30, 2024 | 270.78 Mn |
| Mar 31, 2024 | 299.78 Mn |
| Dec 31, 2023 | 299.19 Mn |
| Sep 30, 2023 | 378.46 Mn |
| Jun 30, 2023 | 378.39 Mn |
| Mar 31, 2023 | 526.91 Mn |
| Dec 31, 2022 | 561.51 Mn |
| Sep 30, 2022 | 610.91 Mn |
| Jun 30, 2022 | 596.27 Mn |
| Mar 31, 2022 | 518.92 Mn |
| Dec 31, 2021 | 490.29 Mn |
| Sep 30, 2021 | 225.72 Mn |
API Access
Hyperscale Data Assets 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=assets&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();