Hyperscale Data (GPUS) Cash & Equivalents (2010 - 2026)
Hyperscale Data (GPUS) posted Cash & Equivalents of $65.09 million for Q2 2026, up 138.8% from $27.26 million a year earlier and up 79.3% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Cash & Equivalents came in at $49.23 million, up 96.7% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Cash & Equivalents was $25.02 million in FY2024 (+62.8%), $15.37 million in FY2023 (+9.3%), $14.06 million in FY2022 (-33.8%) and $21.23 million in FY2021 (+13.7%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q2 2021.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last eight quarters, with growth averaging 85.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 208.7%; the weakest was Q1 2023, with a decline of 74.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $36.3 million (Q1 2026), $49.23 million (Q4 2025) and $47.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 8.61 Bn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 8.31 Bn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 6.43 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 5.90 Bn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 3.16 Bn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 627.00 Mn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 5.41 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 340.29 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 372.89 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 65.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.09 Mn |
| Mar 31, 2026 | 36.30 Mn |
| Dec 31, 2025 | 49.23 Mn |
| Sep 30, 2025 | 47.69 Mn |
| Jun 30, 2025 | 27.26 Mn |
| Mar 31, 2025 | 24.61 Mn |
| Dec 31, 2024 | 25.02 Mn |
| Sep 30, 2024 | 15.45 Mn |
| Jun 30, 2024 | 16.82 Mn |
| Mar 31, 2024 | 17.04 Mn |
| Dec 31, 2023 | 15.37 Mn |
| Sep 30, 2023 | 12.49 Mn |
| Jun 30, 2023 | 20.80 Mn |
| Mar 31, 2023 | 11.07 Mn |
| Dec 31, 2022 | 14.06 Mn |
| Sep 30, 2022 | 14.74 Mn |
| Jun 30, 2022 | 28.81 Mn |
| Mar 31, 2022 | 44.14 Mn |
| Dec 31, 2021 | 21.23 Mn |
| Sep 30, 2021 | 44.05 Mn |
API Access
Hyperscale Data Cash & Equivalents 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=cash-and-equivalents&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();