Diginex (DGNX) Shares Outstanding (Diluted) (2024 - 2026)
Diginex (DGNX) recorded Shares Outstanding (Diluted) of 25.88 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 47.7% from 17.53 million a year earlier.
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Analysis
Diginex (DGNX) Shares Outstanding (Diluted) (2024 - 2026) Analysis & Trends
Starting with fiscal Q4 2024, Diginex's Shares Outstanding (Diluted) history includes 4 quarters.
- Annual Shares Outstanding (Diluted) has increased for three straight fiscal years, with a three-year compound annual growth rate of 39.7% (FY2023 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 17.53 million in FY2025 (+46.4%), 11.97 million in FY2024 (+26.1%) and 9.5 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Diginex | 34.08 Mn | 24.18 Mn | - | 25.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 25.88 Mn |
| Sep 30, 2025 | 17.53 Mn |
| Mar 31, 2025 | 17.53 Mn |
| Mar 31, 2024 | 11.97 Mn |
API Access
Diginex 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=DGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DGNX", "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=DGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();