Hyperscale Data, Inc. (GPUS-PD) Cash & Equivalents (2010 - 2026)
Hyperscale Data's Cash & Equivalents was $65.09 million in Q2 2026, up 138.8% from $27.26 million a year earlier and up 79.3% from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Hyperscale Data came in at $49.23 million, up 96.7% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- In earlier years, 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 marks the highest quarterly Cash & Equivalents since Q2 2021.
- Compared with a year earlier, Cash & Equivalents has increased for eight straight quarters, with growth averaging 85.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2025 (growth of 208.7%); the worst was Q1 2023 (a decline of 74.9%).
- Per Business Quant data, GPUS-PD's Cash & Equivalents in the three quarters before Q2 2026 was $36.3 million (Q1 2026), $49.23 million (Q4 2025) and $47.69 million (Q3 2025).
Peer Comparison
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 |
Hyperscale Data, Inc. 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-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();