Hyperscale Data, Inc. (GPUS-PD) Current Assets (2010 - 2026)
Hyperscale Data's Current Assets came in at $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, Inc. (GPUS-PD) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Current Assets was $129.7 million, up 122.0% from FY2024.
- Current Assets carries a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- Going back by year, Current Assets was $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%).
- The five-year range for quarterly Current Assets is $44.98 million (Q3 2024) to $196.31 million (Q4 2022).
- Year-over-year, Current Assets has increased for five consecutive quarters, with growth averaging 34.3% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in Q3 2021 (growth of 831.7%), and the weakest in Q3 2024 (a decline of 73.4%).
- Business Quant data shows GPUS-PD's Current Assets at $103.3 million (Q1 2026), $129.7 million (Q4 2025) and $90.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
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, Inc. 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-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "ticker": "GPUS-PD", "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-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();