Hyperscale Data (GPUS) Prepaid Assets (2010 - 2026)
Hyperscale Data's Prepaid Assets was $15.57 million in Q2 2026, up 508.1% from $2.56 million a year earlier but down 4.4% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at Hyperscale Data came in at $14.73 million, up 382.1% from FY2024.
- Prepaid Assets shows a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $3.06 million in FY2024 (-41.8%), $5.25 million in FY2023 (+3.4%), $5.07 million in FY2022 (-67.1%) and $15.44 million in FY2021 (+416.6%).
- Quarterly Prepaid Assets has moved between $2.45 million (Q1 2025) and $16.75 million (Q2 2023) over five years.
- Compared with a year earlier, Prepaid Assets has increased for three straight quarters, with growth averaging 152.1% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was Q1 2026 (growth of 564.6%); the worst was Q1 2025 (a decline of 69.5%).
- Per Business Quant data, GPUS's Prepaid Assets in the three quarters before Q2 2026 was $16.28 million (Q1 2026), $14.73 million (Q4 2025) and $3.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.57 Mn |
| Mar 31, 2026 | 16.28 Mn |
| Dec 31, 2025 | 14.73 Mn |
| Sep 30, 2025 | 3.96 Mn |
| Jun 30, 2025 | 2.56 Mn |
| Mar 31, 2025 | 2.45 Mn |
| Dec 31, 2024 | 3.06 Mn |
| Sep 30, 2024 | 4.24 Mn |
| Jun 30, 2024 | 8.29 Mn |
| Mar 31, 2024 | 8.04 Mn |
| Dec 31, 2023 | 5.25 Mn |
| Sep 30, 2023 | 8.71 Mn |
| Jun 30, 2023 | 16.75 Mn |
| Mar 31, 2023 | 16.18 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 14.44 Mn |
| Jun 30, 2022 | 13.73 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 15.44 Mn |
| Sep 30, 2021 | 7.99 Mn |
API Access
Hyperscale Data Prepaid 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=prepaid-assets&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();