Hyperscale Data (GPUS) Research & Development (2010 - 2026)
Hyperscale Data's Research & Development was $4.28 million in Q2 2026, compared with $112,000 a year earlier and down 10.8% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperscale Data's Research & Development was $13.67 million through Jun 30, 2026, up 23.9% year-over-year; for FY2025, it came in at $4.83 million, down 56.1% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In earlier years, Research & Development was $11.01 million in FY2024 (+149.2%), $4.42 million in FY2023 (+59.3%), $2.77 million in FY2022 (+35.9%) and $2.04 million in FY2021 (+10.4%).
- Quarterly Research & Development has moved between $102,000 (Q2 2024) and $6.2 million (Q4 2024) over five years.
- Compared with a year earlier, Research & Development was higher in four of the last six quarters, with growth averaging 114.1%.
- The best year-over-year quarter for Research & Development over five years was Q4 2024 (growth of 456.6%); the worst was Q2 2024 (a decline of 94.3%).
- Per Business Quant data, GPUS's Research & Development in the three quarters before Q2 2026 was $4.8 million (Q1 2026), $2.99 million (Q4 2025) and $1.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.10 Bn | 8.33 Bn | - | 849.00 Mn |
| 2 | Block | 47.03 Bn | 18.32 Bn | 3.17 Bn | 608.66 Mn |
| 3 | Coinbase Global | 45.57 Bn | 2.37 Bn | - | 472.85 Mn |
| 4 | Corpay | 26.69 Bn | 16.58 Bn | - | - |
| 5 | Fiserv | 25.62 Bn | 22.30 Bn | 2.90 Bn | - |
| 6 | Global Payments | 22.68 Bn | 474.69 Mn | 2.03 Bn | - |
| 7 | Guidewire Software | 15.51 Bn | 12.07 Bn | 269.68 Mn | 90.59 Mn |
| 8 | Bitmine Immersion Technologies | 12.86 Bn | 10.24 Bn | 40.81 Mn | - |
| 9 | Chime Financial | 11.62 Bn | 7.41 Bn | 594.87 Mn | 112.11 Mn |
| 10 | Hyperscale Data | 66.34 Mn | -131.96 Mn | 8.80 Mn | 4.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.28 Mn |
| Mar 31, 2026 | 4.80 Mn |
| Dec 31, 2025 | 2.99 Mn |
| Sep 30, 2025 | 1.61 Mn |
| Jun 30, 2025 | 112,000.00 |
| Mar 31, 2025 | 129,000.00 |
| Dec 31, 2024 | 6.20 Mn |
| Sep 30, 2024 | 4.60 Mn |
| Jun 30, 2024 | 102,000.00 |
| Mar 31, 2024 | 111,000.00 |
| Dec 31, 2023 | 1.11 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 1.84 Mn |
| Dec 31, 2022 | 828,000.00 |
| Sep 30, 2022 | 521,000.00 |
| Jun 30, 2022 | 729,000.00 |
| Mar 31, 2022 | 695,000.00 |
| Dec 31, 2021 | 384,000.00 |
| Sep 30, 2021 | 524,000.00 |
API Access
Hyperscale Data Research & Development 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=research-and-development&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();