Hyperscale Data (GPUS) Shares Outstanding (Diluted) (2011 - 2026)
Hyperscale Data (GPUS) posted Shares Outstanding (Diluted) of 475.22 million for Q2 2026, compared with 7.99 million a year earlier and up 423.9% from the prior quarter.
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Analysis
Hyperscale Data (GPUS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Hyperscale Data's Shares Outstanding (Diluted) came in at 90.71 million.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 217.3% (FY2020 to FY2025).
- In prior years, Hyperscale Data's Shares Outstanding (Diluted) was 903,000 in FY2024, 20,228 in FY2023, 857.00 in FY2022 (-99.9%) and 1.69 million in FY2021 (+497.1%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2011.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q2 2025, with growth of 757.3%; the weakest was Q4 2022, with a decline of 99.9%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 90.71 million (Q1 2026), 90.71 million (Q4 2025) and 7.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 263.41 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 882.00 Mn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 608.85 Mn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 316.12 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 66.33 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 533.70 Mn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 270.12 Mn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 443.95 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 85.41 Mn |
| 10 | Hyperscale Data | 76.03 Mn | -115.95 Mn | 8.80 Mn | 475.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475.22 Mn |
| Mar 31, 2026 | 90.71 Mn |
| Dec 31, 2025 | 90.71 Mn |
| Sep 30, 2025 | 7.99 Mn |
| Jun 30, 2025 | 7.99 Mn |
| Mar 31, 2025 | 6.28 Mn |
| Dec 31, 2024 | 903,000.00 |
| Sep 30, 2024 | 1.08 Mn |
| Jun 30, 2024 | 931,553.00 |
| Mar 31, 2024 | 1.04 Mn |
| 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 | 27,999.00 |
| Jun 30, 2022 | 27,599.00 |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 1.69 Mn |
| Sep 30, 2021 | 1.69 Mn |
API Access
Hyperscale Data Shares Outstanding (Diluted) 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-diluted&ticker=GPUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=GPUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();