Datasea Intelligent Technology (DTSS) Profit After Tax (2015 - 2025)
Datasea Intelligent Technology's Profit After Tax was -$2.19 million in FY2026 (year ended Jun 30, 2026), compared with -$5.09 million in FY2025.
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Analysis
Datasea Intelligent Technology (DTSS) Profit After Tax (2015 - 2025) Analysis & Trends
- Per Business Quant data, Profit After Tax in earlier fiscal years was -$5.09 million in FY2025 and -$12.22 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 821.25 Mn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 644.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 416.24 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 273.90 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 336.31 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 272.84 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 126.58 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 110.87 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 102.98 Mn |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | -538,667.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -538,667.00 |
| Sep 30, 2025 | -201,159.00 |
| Jun 30, 2025 | -198,053.00 |
| Mar 31, 2025 | -1.78 Mn |
| Dec 31, 2024 | -1.13 Mn |
| Sep 30, 2024 | -1.97 Mn |
| Jun 30, 2024 | -5.38 Mn |
| Mar 31, 2024 | -4.14 Mn |
| Dec 31, 2023 | -1.83 Mn |
| Sep 30, 2023 | -865,534.00 |
| Jun 30, 2023 | -5.20 Mn |
| Mar 31, 2023 | -855,406.00 |
| Dec 31, 2022 | -1.06 Mn |
| Sep 30, 2022 | -1.10 Mn |
| Jun 30, 2022 | -2.49 Mn |
| Mar 31, 2022 | -1.25 Mn |
| Dec 31, 2021 | -1.25 Mn |
| Sep 30, 2021 | -1.55 Mn |
| Jun 30, 2021 | -1.74 Mn |
| Mar 31, 2021 | -1.28 Mn |
API Access
Datasea Intelligent Technology Profit After Tax 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=profit-after-tax&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();