Datasea Intelligent Technology (DTSS) Research & Development (2017 - 2025)
Datasea Intelligent Technology (DTSS) posted Research & Development of $733,243 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 885.5% from $74,402 a year earlier and up 43.0% from the prior quarter.
Datasea Intelligent Technology (DTSS) Research & Development (2017 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Research & Development at Datasea Intelligent Technology was $1.98 million, up 650.1% year-over-year; for FY2025 (ended Jun 30, 2025), it was $914,996, up 154.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Research & Development was $359,342 in FY2024 (-36.9%), $569,635 in FY2023 (-54.8%), $1.26 million in FY2022 (+47.9%) and $851,839 in FY2021 (-23.6%).
- The fiscal Q2 2026 figure stands as the highest quarterly Research & Development in data going back to fiscal Q1 2018.
- On a year-over-year basis, Research & Development increased in three of the last seven quarters, with growth averaging 208.6%.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q2 2026, with growth of 885.5%; the weakest was fiscal Q4 2024, with a decline of 90.7%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $512,924 (Q1 2026), $389,983 (Q4 2025) and $347,532 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 733,243.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 733,243.00 |
| Sep 30, 2025 | 512,924.00 |
| Jun 30, 2025 | 389,983.00 |
| Mar 31, 2025 | 347,532.00 |
| Dec 31, 2024 | 74,402.00 |
| Sep 30, 2024 | 103,079.00 |
| Jun 30, 2024 | 15,789.00 |
| Mar 31, 2024 | 71,178.00 |
| Dec 31, 2023 | 117,371.00 |
| Sep 30, 2023 | 155,004.00 |
| Jun 30, 2023 | 170,141.00 |
| Mar 31, 2023 | 144,054.00 |
| Dec 31, 2022 | 148,812.00 |
| Sep 30, 2022 | 106,628.00 |
| Jun 30, 2022 | 291,336.00 |
| Mar 31, 2022 | 248,832.00 |
| Dec 31, 2021 | 248,832.00 |
| Sep 30, 2021 | 287,216.00 |
| Jun 30, 2021 | 314,830.00 |
| Mar 31, 2021 | 207,774.00 |
Datasea Intelligent Technology Research & Development 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=research-and-development&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();