Hyperscale Data, Inc. (GPUS-PD) Change in Receivables (2010 - 2026)
Hyperscale Data's Change in Receivables was $1.75 million in Q2 2026, compared with -$1.83 million a year earlier and down 29.4% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Change in Receivables (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hyperscale Data's Change in Receivables was $7.27 million through Jun 30, 2026, up 915.1% year-over-year; for FY2025, it was $4.22 million.
- Change in Receivables shows a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- In earlier years, Change in Receivables was -$316,000 in FY2024, $1.56 million in FY2023, $58,000 in FY2022 (-95.9%) and $1.41 million in FY2021 (+119.5%).
- Quarterly Change in Receivables has moved between -$5.03 million (Q1 2023) and $10.88 million (Q3 2023) over five years.
- Per Business Quant data, GPUS-PD's Change in Receivables in the three quarters before Q2 2026 was $2.49 million (Q1 2026), $3.65 million (Q4 2025) and -$625,000 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.75 Mn |
| Mar 31, 2026 | 2.49 Mn |
| Dec 31, 2025 | 3.65 Mn |
| Sep 30, 2025 | -625,000.00 |
| Jun 30, 2025 | -1.83 Mn |
| Mar 31, 2025 | 3.02 Mn |
| Dec 31, 2024 | -658,000.00 |
| Sep 30, 2024 | 178,000.00 |
| Jun 30, 2024 | -826,000.00 |
| Mar 31, 2024 | 990,000.00 |
| Dec 31, 2023 | -3.24 Mn |
| Sep 30, 2023 | 10.88 Mn |
| Jun 30, 2023 | -1.06 Mn |
| Mar 31, 2023 | -5.03 Mn |
| Dec 31, 2022 | -2.96 Mn |
| Sep 30, 2022 | 711,000.00 |
| Jun 30, 2022 | 1.69 Mn |
| Mar 31, 2022 | 621,000.00 |
| Dec 31, 2021 | 137,000.00 |
| Sep 30, 2021 | 383,000.00 |
API Access
Hyperscale Data, Inc. Change in 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=change-in-receivables&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();