Hyperscale Data (GPUS) Shares Outstanding (Entity) (2011 - 2026)
Hyperscale Data (GPUS) recorded Shares Outstanding (Entity) of 475.22 million in Q2 2026, compared with 32.15 million a year earlier and up 24.8% from the prior quarter.
Hyperscale Data (GPUS) Shares Outstanding (Entity) (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data reported Shares Outstanding (Entity) of 347.79 million.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of 317.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 6.26 million in FY2024, 20,228 in FY2023 and 857.00 in FY2022.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2011.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 541.2% in Q3 2021, against a decline of 99.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 380.73 million (Q1 2026), 347.79 million (Q4 2025) and 135.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 263.78 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 862.00 Mn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 600.76 Mn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 760.90 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 65.66 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 531.77 Mn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 265.81 Mn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 579.65 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 81.99 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 475.22 Mn |
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 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&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "GPUS", "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&period=max&api_key=YOUR_API_KEY");
const data = await res.json();