Datasea Intelligent Technology (DTSS) Shares Outstanding (2015 - 2025)
Datasea Intelligent Technology's Shares Outstanding came in at 9.15 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 27.6% from 7.17 million a year earlier and up 11.8% from the prior quarter.
Datasea Intelligent Technology (DTSS) Shares Outstanding (2015 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Shares Outstanding was 6.61 million, up 154.5% from FY2024.
- Shares Outstanding has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 36.5% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding was 2.6 million in FY2024 (+56.1%), 1.66 million in FY2023 (+4.2%), 1.6 million in FY2022 (+12.6%) and 1.42 million in FY2021 (+1.6%).
- The fiscal Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to fiscal Q4 2015.
- Year-over-year, Shares Outstanding has increased for 21 consecutive quarters, with growth averaging 109.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.3% in fiscal Q3 2023 to 182.5% in fiscal Q2 2025.
- Business Quant data shows DTSS's Shares Outstanding at 8.19 million (Q1 2026), 6.61 million (Q4 2025) and 7.43 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 79.56 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 127.00 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 222.69 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 51.31 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 82.16 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 231.45 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 52.20 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | 9.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.15 Mn |
| Sep 30, 2025 | 8.19 Mn |
| Jun 30, 2025 | 6.61 Mn |
| Mar 31, 2025 | 7.43 Mn |
| Dec 31, 2024 | 7.17 Mn |
| Sep 30, 2024 | 4.04 Mn |
| Jun 30, 2024 | 2.60 Mn |
| Mar 31, 2024 | 2.67 Mn |
| Dec 31, 2023 | 2.54 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 1.66 Mn |
| Mar 31, 2023 | 1.62 Mn |
| Dec 31, 2022 | 1.62 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 1.60 Mn |
| Mar 31, 2022 | 1.62 Mn |
| Dec 31, 2021 | 1.59 Mn |
| Sep 30, 2021 | 1.56 Mn |
| Jun 30, 2021 | 1.42 Mn |
| Mar 31, 2021 | 1.43 Mn |
Datasea Intelligent Technology 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=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DTSS", "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=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();