Hyperscale Data, Inc. (GPUS-PD) Change in Inventory (2010 - 2026)
Hyperscale Data (GPUS-PD) recorded Change in Inventory of $910,000 in Q2 2026, compared with $66,000 a year earlier and up 163.0% from the prior quarter.
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Analysis
Hyperscale Data, Inc. (GPUS-PD) Change in Inventory (2010 - 2026) Analysis & Trends
On a TTM basis, Hyperscale Data's Change in Inventory came in at $1.14 million as of Jun 30, 2026; for FY2025, it was -$408,000.
- Across earlier years, Change in Inventory came in at $36,000 in FY2024, -$2.52 million in FY2023, $1.07 million in FY2022 (-47.4%) and $2.03 million in FY2021.
- The Q2 2026 figure is the highest quarterly Change in Inventory since Q3 2023.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 842.9% in Q2 2025, against a decline of 99.1% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $346,000 (Q1 2026), -$358,000 (Q4 2025) and $243,000 (Q3 2025).
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 910,000.00 |
| Mar 31, 2026 | 346,000.00 |
| Dec 31, 2025 | -358,000.00 |
| Sep 30, 2025 | 243,000.00 |
| Jun 30, 2025 | 66,000.00 |
| Mar 31, 2025 | -359,000.00 |
| Dec 31, 2024 | -6,000.00 |
| Sep 30, 2024 | 274,000.00 |
| Jun 30, 2024 | 7,000.00 |
| Mar 31, 2024 | -239,000.00 |
| Dec 31, 2023 | -4.07 Mn |
| Sep 30, 2023 | 2.68 Mn |
| Jun 30, 2023 | 812,000.00 |
| Mar 31, 2023 | -1.94 Mn |
| Dec 31, 2022 | -4.80 Mn |
| Sep 30, 2022 | 3.22 Mn |
| Jun 30, 2022 | 923,000.00 |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 1.54 Mn |
| Sep 30, 2021 | 977,000.00 |
API Access
Hyperscale Data, Inc. Change in Inventory 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-inventory&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();