Datz World Holdings (BOTX) Shares Outstanding (2015 - 2026)
Datz World Holdings' Weighted Average Shares Outstanding came in at 100.07 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), unchanged from 100.07 million a year earlier and unchanged from the prior quarter.
Datz World Holdings (BOTX) Shares Outstanding (2015 - 2026) Analysis & Trends
Going back to fiscal Q4 2015, Datz World Holdings' Weighted Average Shares Outstanding data covers 41 quarters.
- Weighted Average Shares Outstanding has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by fiscal year, Weighted Average Shares Outstanding was 99.72 million in FY2024 (+4.0%), 95.92 million in FY2023 (+5.0%), 91.38 million in FY2022 (+8.3%) and 84.34 million in FY2021 (+12.2%).
- The five-year range for quarterly Weighted Average Shares Outstanding is 84.34 million (fiscal Q4 2021) to 255.04 million (fiscal Q3 2022).
- Year-over-year, Weighted Average Shares Outstanding increased in five of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in fiscal Q3 2022 (growth of 204.3%), and the weakest in fiscal Q3 2023 (a decline of 62.6%).
- Business Quant data shows BOTX's Weighted Average Shares Outstanding at 100.07 million (Q2 2026), 100.07 million (Q1 2026) and 100.07 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 2.97 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 402.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.83 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Datz World Holdings | 16.01 Mn | 12.32 Mn | 605,453.00 | 100.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 100.07 Mn |
| 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 | 99.72 Mn |
| Mar 31, 2024 | 99.94 Mn |
| Dec 31, 2023 | 99.43 Mn |
| Sep 30, 2023 | 99.43 Mn |
| Jun 30, 2023 | 95.92 Mn |
| Mar 31, 2023 | 95.43 Mn |
| Dec 31, 2022 | 95.03 Mn |
| Sep 30, 2022 | 94.04 Mn |
| Jun 30, 2022 | 91.38 Mn |
| Mar 31, 2022 | 255.04 Mn |
| Dec 31, 2021 | 90.51 Mn |
| Sep 30, 2021 | 89.69 Mn |
| Jun 30, 2021 | 84.34 Mn |
Datz World Holdings 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=BOTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();