Datasea Intelligent Technology (DTSS) Gross Profit (2016 - 2025)
Datasea Intelligent Technology (DTSS) posted Gross Profit of $1.19 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 185.8% from $417,452 a year earlier and up 2.0% from the prior quarter.
Datasea Intelligent Technology (DTSS) Gross Profit (2016 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Gross Profit at Datasea Intelligent Technology was $4.19 million, up 359.8% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $2.44 million, up 415.5% from FY2024.
- Annual Gross Profit shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Gross Profit was $474,105 in FY2024 (+249.9%), $135,481 in FY2023 (-85.8%), $955,673 in FY2022 (+916.6%) and $94,003 in FY2021 (-92.6%).
- Quarterly Gross Profit has run from a low of $7,774 in fiscal Q3 2021 to a high of $1.53 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Gross Profit has increased in each of the last three quarters, with growth averaging 344.2% over the last seven quarters.
- The strongest year-over-year quarter for Gross Profit in the past five years was fiscal Q4 2024, with growth of 911.1%; the weakest was fiscal Q2 2023, with a decline of 94.0%.
- According to Business Quant data, Gross Profit for the three prior fiscal quarters was $1.17 million (Q1 2026), $1.53 million (Q4 2025) and $297,790 (Q3 2025).
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
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.19 Mn |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 297,790.00 |
| Dec 31, 2024 | 417,452.00 |
| Sep 30, 2024 | 196,981.00 |
| Jun 30, 2024 | 287,264.00 |
| Mar 31, 2024 | 9,871.00 |
| Dec 31, 2023 | 102,235.00 |
| Sep 30, 2023 | 74,735.00 |
| Jun 30, 2023 | 28,411.00 |
| Mar 31, 2023 | 71,641.00 |
| Dec 31, 2022 | 35,429.00 |
| Sep 30, 2022 | 150,197.00 |
| Jun 30, 2022 | 57,375.00 |
| Mar 31, 2022 | 588,404.00 |
| Dec 31, 2021 | 588,404.00 |
| Sep 30, 2021 | 63,595.00 |
| Jun 30, 2021 | 8,003.00 |
| Mar 31, 2021 | 7,774.00 |
Datasea Intelligent Technology Gross Profit 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=gross-profit&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();