Datasea Intelligent Technology (DTSS) Market Capitalization (2018 - 2025)
Datasea Intelligent Technology (DTSS) recorded Market Capitalization of $6.6 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 59.8% from $16.41 million a year earlier and down 60.5% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Market Capitalization (2018 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology reported Market Capitalization of $12.83 million, up 9.7% from FY2024.
- Annual Market Capitalization has a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- Across earlier fiscal years, Market Capitalization came in at $11.69 million in FY2024 (-54.1%), $25.49 million in FY2023 (-35.7%), $39.65 million in FY2022 (-26.1%) and $53.69 million in FY2021 (+23.2%).
- The fiscal Q2 2026 figure is the lowest quarterly Market Capitalization since fiscal Q1 2024.
- On a year-over-year basis, Market Capitalization rose in four of the last eight quarters, with growth averaging 7.3%.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 83.1% in fiscal Q2 2025, against a decline of 83.1% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.68 million (Q1 2026), $12.83 million (Q4 2025) and $16.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.60 Mn |
| Sep 30, 2025 | 16.68 Mn |
| Jun 30, 2025 | 12.83 Mn |
| Mar 31, 2025 | 16.60 Mn |
| Dec 31, 2024 | 16.41 Mn |
| Sep 30, 2024 | 10.10 Mn |
| Jun 30, 2024 | 11.69 Mn |
| Mar 31, 2024 | 23.24 Mn |
| Dec 31, 2023 | 8.96 Mn |
| Sep 30, 2023 | 6.13 Mn |
| Jun 30, 2023 | 25.49 Mn |
| Mar 31, 2023 | 29.68 Mn |
| Dec 31, 2022 | 36.49 Mn |
| Sep 30, 2022 | 36.25 Mn |
| Jun 30, 2022 | 39.65 Mn |
| Mar 31, 2022 | 67.89 Mn |
| Dec 31, 2021 | 37.82 Mn |
| Sep 30, 2021 | 50.47 Mn |
| Jun 30, 2021 | 53.69 Mn |
| Mar 31, 2021 | 69.79 Mn |
API Access
Datasea Intelligent Technology Market Capitalization 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=market-capitalization&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();