Hyperscale Data (GPUS) Current Assets (2010 - 2026)
Hyperscale Data (GPUS) reported Current Assets of $114.03 million for Q2 2026, up 83.9% from $62.01 million a year earlier and up 10.4% from the prior quarter.
Hyperscale Data (GPUS) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data posted Current Assets of $129.7 million, up 122.0% from FY2024.
- Current Assets has a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- By year, Current Assets came in at $58.41 million in FY2024 (-6.4%), $62.41 million in FY2023 (-68.2%), $196.31 million in FY2022 (+79.1%) and $109.61 million in FY2021 (+219.1%).
- Five-year quarterly Current Assets spans a low of $44.98 million in Q3 2024 and a high of $196.31 million in Q4 2022.
- Year over year, Current Assets has now increased in each of the last five quarters, with growth averaging 34.3% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was Q3 2021 (growth of 831.7%); the low point was Q3 2024 (a decline of 73.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $103.3 million (Q1 2026), $129.7 million (Q4 2025) and $90.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 17.49 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 62.35 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 23.14 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 7.89 Bn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 16.48 Bn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 25.36 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 11.67 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 445.26 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 1.19 Bn |
| 10 | Hyperscale Data | 80.79 Mn | -111.20 Mn | 8.80 Mn | 114.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.03 Mn |
| Mar 31, 2026 | 103.30 Mn |
| Dec 31, 2025 | 129.70 Mn |
| Sep 30, 2025 | 90.48 Mn |
| Jun 30, 2025 | 62.01 Mn |
| Mar 31, 2025 | 58.86 Mn |
| Dec 31, 2024 | 58.41 Mn |
| Sep 30, 2024 | 44.98 Mn |
| Jun 30, 2024 | 47.21 Mn |
| Mar 31, 2024 | 144.77 Mn |
| Dec 31, 2023 | 62.41 Mn |
| Sep 30, 2023 | 169.33 Mn |
| Jun 30, 2023 | 76.86 Mn |
| Mar 31, 2023 | 186.63 Mn |
| Dec 31, 2022 | 196.31 Mn |
| Sep 30, 2022 | 100.07 Mn |
| Jun 30, 2022 | 106.61 Mn |
| Mar 31, 2022 | 85.88 Mn |
| Dec 31, 2021 | 109.61 Mn |
| Sep 30, 2021 | 113.98 Mn |
Hyperscale Data Current 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=current-assets&ticker=GPUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();