Hyperscale Data, Inc. (GPUS-PD) Net Cash Flow (2010 - 2026)
Hyperscale Data (GPUS-PD) reported Net Cash Flow of $28.24 million for Q2 2026, up 968.3% from $2.64 million a year earlier.
Powered by 
Analysis
Hyperscale Data, Inc. (GPUS-PD) Net Cash Flow (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hyperscale Data's Net Cash Flow came in at $37.19 million, up 130.9% year-over-year; for FY2025, it came in at $23.61 million, up 75.9% from FY2024.
- Net Cash Flow has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Net Cash Flow came in at $13.42 million in FY2024, -$1.57 million in FY2023, -$8.04 million in FY2022 and $2.82 million in FY2021 (-84.6%).
- The Q2 2026 figure ranks as the highest quarterly Net Cash Flow since Q1 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$12.43 million (Q1 2026), $947,000 (Q4 2025) and $20.43 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.24 Mn |
| Mar 31, 2026 | -12.43 Mn |
| Dec 31, 2025 | 947,000.00 |
| Sep 30, 2025 | 20.43 Mn |
| Jun 30, 2025 | 2.64 Mn |
| Mar 31, 2025 | -416,000.00 |
| Dec 31, 2024 | 12.90 Mn |
| Sep 30, 2024 | 981,000.00 |
| Jun 30, 2024 | -650,000.00 |
| Mar 31, 2024 | 191,000.00 |
| Dec 31, 2023 | -2.87 Mn |
| Sep 30, 2023 | -5.54 Mn |
| Jun 30, 2023 | 12.50 Mn |
| Mar 31, 2023 | -5.66 Mn |
| Dec 31, 2022 | -632,000.00 |
| Sep 30, 2022 | -15.13 Mn |
| Jun 30, 2022 | -15.13 Mn |
| Mar 31, 2022 | 22.85 Mn |
| Dec 31, 2021 | -22.62 Mn |
| Sep 30, 2021 | -61.18 Mn |
API Access
Hyperscale Data, Inc. Net Cash Flow 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=net-cash-flow&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();