Digi Power X (DGXX) Shares Outstanding (2020 - 2026)
Digi Power X's Weighted Average Shares Outstanding was 85.48 million in Q2 2026, up 133.4% from 36.62 million a year earlier and up 22.8% from the prior quarter.
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Analysis
Digi Power X (DGXX) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Digi Power X came in at 44.46 million, up 44.8% from FY2024.
- Weighted Average Shares Outstanding has now increased for five consecutive years, with a five-year compound annual growth rate of 30.6% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 30.7 million in FY2024 (+6.8%), 28.75 million in FY2023 (+5.6%), 27.23 million in FY2022 (+25.0%) and 21.78 million in FY2021 (+85.9%).
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2020.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 19 straight quarters, with growth averaging 45.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 5.6% (Q4 2023) and 133.4% (Q2 2026) over the last five years.
- Per Business Quant data, DGXX's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 69.64 million (Q1 2026), 44.46 million (Q4 2025) and 36.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 7.43 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 944.40 Mn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 357.13 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 98.79 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 158.00 Mn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 242.53 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 90.10 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 268.69 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 125.08 Mn |
| 10 | Digi Power X | 229.72 Mn | -129.88 Mn | -2.41 Mn | 100.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100.76 Mn |
| Jun 30, 2026 | 85.48 Mn |
| Mar 31, 2026 | 69.64 Mn |
| Dec 31, 2025 | 44.46 Mn |
| Sep 30, 2025 | 36.62 Mn |
| Jun 30, 2025 | 36.62 Mn |
| Mar 31, 2025 | 34.97 Mn |
| Dec 31, 2024 | 30.70 Mn |
| Sep 30, 2024 | 28.75 Mn |
| Jun 30, 2024 | 28.75 Mn |
| Mar 31, 2024 | 28.75 Mn |
| Dec 31, 2023 | 28.75 Mn |
| Sep 30, 2023 | 27.23 Mn |
| Jun 30, 2023 | 27.23 Mn |
| Mar 31, 2023 | 27.23 Mn |
| Dec 31, 2022 | 27.23 Mn |
| Sep 30, 2022 | 21.78 Mn |
| Jun 30, 2022 | 21.78 Mn |
| Mar 31, 2022 | 21.78 Mn |
| Dec 31, 2021 | 21.78 Mn |
API Access
Digi Power X Shares Outstanding 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&ticker=DGXX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DGXX", "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&ticker=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();