Hyperscale Data, Inc. (GPUS-PD) Inventory (2010 - 2026)
Hyperscale Data (GPUS-PD) posted Inventory of $6.07 million for Q2 2026, up 304.6% from $1.5 million a year earlier and up 17.7% from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Hyperscale Data's Inventory came in at $4.81 million, up 164.8% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Inventory was $1.82 million in FY2024 (+1.5%), $1.79 million in FY2023 (-91.9%), $22.04 million in FY2022 (+302.0%) and $5.48 million in FY2021 (+62.5%).
- The Q2 2026 figure stands as the highest quarterly Inventory since Q2 2024.
- On a year-over-year basis, Inventory has increased in each of the last three quarters, with growth averaging 58.5% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2022, with growth of 650.9%; the weakest was Q3 2024, with a decline of 91.9%.
- According to Business Quant data, Inventory for the three prior quarters was $5.16 million (Q1 2026), $4.81 million (Q4 2025) and $1.74 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.07 Mn |
| Mar 31, 2026 | 5.16 Mn |
| Dec 31, 2025 | 4.81 Mn |
| Sep 30, 2025 | 1.74 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.46 Mn |
| Dec 31, 2024 | 1.82 Mn |
| Sep 30, 2024 | 1.82 Mn |
| Jun 30, 2024 | 7.50 Mn |
| Mar 31, 2024 | 7.60 Mn |
| Dec 31, 2023 | 1.79 Mn |
| Sep 30, 2023 | 22.48 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | 20.20 Mn |
| Dec 31, 2022 | 22.04 Mn |
| Sep 30, 2022 | 28.85 Mn |
| Jun 30, 2022 | 20.83 Mn |
| Mar 31, 2022 | 7.14 Mn |
| Dec 31, 2021 | 5.48 Mn |
| Sep 30, 2021 | 3.84 Mn |
Hyperscale Data, Inc. 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=inventory&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();