Hyperscale Data, Inc. (GPUS-PD) Shares Outstanding (Entity) (2011 - 2026)
Hyperscale Data (GPUS-PD) posted Shares Outstanding (Entity) of 475.22 million for Q2 2026, compared with 32.15 million a year earlier and up 24.8% from the prior quarter.
Hyperscale Data, Inc. (GPUS-PD) Shares Outstanding (Entity) (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data's Shares Outstanding (Entity) came in at 347.79 million.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 317.4% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Shares Outstanding (Entity) was 6.26 million in FY2024, 20,228 in FY2023 and 857.00 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2011.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q3 2021, with growth of 541.2%; the weakest was Q1 2023, with a decline of 99.9%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 380.73 million (Q1 2026), 347.79 million (Q4 2025) and 135.58 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475.22 Mn |
| Mar 31, 2026 | 380.73 Mn |
| Dec 31, 2025 | 347.79 Mn |
| Sep 30, 2025 | 135.58 Mn |
| Jun 30, 2025 | 32.15 Mn |
| Mar 31, 2025 | 6.28 Mn |
| Dec 31, 2024 | 6.26 Mn |
| Sep 30, 2024 | 6.26 Mn |
| Jun 30, 2024 | 6.26 Mn |
| Mar 31, 2024 | 460,434.00 |
| Dec 31, 2023 | 20,228.00 |
| Sep 30, 2023 | 159,621.00 |
| Jun 30, 2023 | 34,798.00 |
| Mar 31, 2023 | 1,343.00 |
| Dec 31, 2022 | 857.00 |
| Sep 30, 2022 | 32,517.00 |
| Jun 30, 2022 | 30,898.00 |
| Mar 31, 2022 | 2.60 Mn |
| Sep 30, 2021 | 1.81 Mn |
| Jun 30, 2021 | 1.67 Mn |
Hyperscale Data, Inc. Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=GPUS-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();