Hyperscale Data, Inc. (GPUS-PD) Receivables - Net (2010 - 2026)
Hyperscale Data (GPUS-PD) recorded Receivables - Net of $18.79 million in Q2 2026, up 156.9% from $7.31 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data reported Receivables - Net of $14.55 million, up 136.0% from FY2024.
- Annual Receivables - Net has a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- Across earlier years, Receivables - Net came in at $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 is the highest quarterly Receivables - Net since Q3 2023.
- On a year-over-year basis, Receivables - Net has increased for three consecutive quarters, with growth averaging 28.8% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 282.2% in Q2 2022, against a decline of 72.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.03 million (Q1 2026), $14.55 million (Q4 2025) and $6.69 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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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 - Net 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-net&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();