Datz World Holdings (BOTX) Shares Outstanding (Diluted) (2020 - 2025)
Datz World Holdings (BOTX) recorded Shares Outstanding (Diluted) of 100.07 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), unchanged from 100.07 million a year earlier and unchanged from the prior quarter.
Datz World Holdings (BOTX) Shares Outstanding (Diluted) (2020 - 2025) Analysis & Trends
Starting with fiscal Q4 2020, Datz World Holdings' Shares Outstanding (Diluted) history includes 23 quarters.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 99.94 million in FY2024 (-31.8%), 146.5 million in FY2023 (+2.4%), 143.09 million in FY2022 (+69.6%) and 84.34 million in FY2021 (-65.3%).
- Quarterly Shares Outstanding (Diluted) has ranged from 84.34 million in fiscal Q4 2021 to 253.52 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in three of the last eight quarters, with an average decline of 12.1%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 69.6% in fiscal Q4 2022, against a decline of 65.3% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 100.07 million (Q1 2026), 100.07 million (Q4 2025) and 100.07 million (Q3 2025).
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 | Datz World Holdings | 23.02 Mn | 19.69 Mn | 445,134.00 | 100.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 100.07 Mn |
| Sep 30, 2025 | 100.07 Mn |
| Jun 30, 2025 | 100.07 Mn |
| Mar 31, 2025 | 100.07 Mn |
| Dec 31, 2024 | 100.07 Mn |
| Sep 30, 2024 | 100.07 Mn |
| Jun 30, 2024 | 99.94 Mn |
| Mar 31, 2024 | 99.94 Mn |
| Dec 31, 2023 | 99.43 Mn |
| Sep 30, 2023 | 151.14 Mn |
| Jun 30, 2023 | 146.50 Mn |
| Mar 31, 2023 | 146.50 Mn |
| Dec 31, 2022 | 145.75 Mn |
| Sep 30, 2022 | 145.75 Mn |
| Jun 30, 2022 | 143.09 Mn |
| Mar 31, 2022 | 253.52 Mn |
| Dec 31, 2021 | 253.52 Mn |
| Sep 30, 2021 | 253.52 Mn |
| Jun 30, 2021 | 84.34 Mn |
| Mar 31, 2021 | 166.89 Mn |
Datz World Holdings 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=BOTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BOTX", "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=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();