Hyperscale Data (GPUS) Intangibles (2010 - 2026)
Hyperscale Data's Intangibles was $13.61 million in Q2 2026, up 723.7% from $1.65 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Hyperscale Data came in at $13.67 million, up 641.5% from FY2024.
- Intangibles shows a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- In earlier years, Intangibles was $1.84 million in FY2024 (-54.4%), $4.05 million in FY2023 (-88.4%), $34.79 million in FY2022 (+762.1%) and $4.04 million in FY2021 (-8.1%).
- Quarterly Intangibles has moved between $1.59 million (Q3 2025) and $34.79 million (Q4 2022) over five years.
- Compared with a year earlier, Intangibles has increased for three straight quarters, with growth averaging 214.9% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q1 2023 (growth of 786.4%); the worst was Q4 2023 (a decline of 88.4%).
- Per Business Quant data, GPUS's Intangibles in the three quarters before Q2 2026 was $13.42 million (Q1 2026), $13.67 million (Q4 2025) and $1.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - | 1.47 Bn |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - | 178.00 Mn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 1.20 Bn |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn | 317.43 Mn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - | 2.92 Bn |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn | - |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn | 19.41 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn | 10.87 Bn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn | 16.41 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 13.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.61 Mn |
| Mar 31, 2026 | 13.42 Mn |
| Dec 31, 2025 | 13.67 Mn |
| Sep 30, 2025 | 1.59 Mn |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 1.84 Mn |
| Sep 30, 2024 | 3.68 Mn |
| Jun 30, 2024 | 5.32 Mn |
| Mar 31, 2024 | 5.48 Mn |
| Dec 31, 2023 | 4.05 Mn |
| Sep 30, 2023 | 16.98 Mn |
| Jun 30, 2023 | 17.29 Mn |
| Mar 31, 2023 | 34.54 Mn |
| Dec 31, 2022 | 34.79 Mn |
| Sep 30, 2022 | 14.10 Mn |
| Jun 30, 2022 | 8.08 Mn |
| Mar 31, 2022 | 3.90 Mn |
| Dec 31, 2021 | 4.04 Mn |
| Sep 30, 2021 | 4.07 Mn |
API Access
Hyperscale Data Intangibles 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=intangibles&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();