Hyperscale Data, Inc. (GPUS-PD) Receivables (2010 - 2026)
Hyperscale Data's Receivables came in at $18.79 million for Q2 2026, up 156.9% from $7.31 million a year earlier and up 10.3% from the prior quarter.
Powered by 
Analysis
Hyperscale Data, Inc. (GPUS-PD) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Receivables was $14.55 million, up 136.0% from FY2024.
- Receivables carries a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- Going back by year, Receivables was $6.17 million in FY2024 (-8.5%), $6.74 million in FY2023 (-65.1%), $19.32 million in FY2022 (+199.3%) and $6.46 million in FY2021 (+67.6%).
- The Q2 2026 figure represents the highest quarterly Receivables since Q3 2023.
- Year-over-year, Receivables has increased for three consecutive quarters, with growth averaging 28.8% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2022 (growth of 282.2%), and the weakest in Q3 2024 (a decline of 72.3%).
- Business Quant data shows GPUS-PD's Receivables at $17.03 million (Q1 2026), $14.55 million (Q4 2025) and $6.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.79 Mn |
| Mar 31, 2026 | 17.03 Mn |
| Dec 31, 2025 | 14.55 Mn |
| Sep 30, 2025 | 6.69 Mn |
| Jun 30, 2025 | 7.31 Mn |
| Mar 31, 2025 | 9.15 Mn |
| Dec 31, 2024 | 6.17 Mn |
| Sep 30, 2024 | 6.82 Mn |
| Jun 30, 2024 | 13.21 Mn |
| Mar 31, 2024 | 11.58 Mn |
| Dec 31, 2023 | 6.74 Mn |
| Sep 30, 2023 | 24.65 Mn |
| Jun 30, 2023 | 13.53 Mn |
| Mar 31, 2023 | 14.48 Mn |
| Dec 31, 2022 | 19.32 Mn |
| Sep 30, 2022 | 19.23 Mn |
| Jun 30, 2022 | 18.08 Mn |
| Mar 31, 2022 | 6.98 Mn |
| Dec 31, 2021 | 6.46 Mn |
| Sep 30, 2021 | 5.12 Mn |
API Access
Hyperscale Data, Inc. Receivables 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=receivables&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();