Datasea Intelligent Technology (DTSS) Intangibles (2015 - 2025)
Datasea Intelligent Technology (DTSS) reported Intangibles of $5.3 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 29.8% from $4.08 million a year earlier and up 14.8% from the prior quarter.
Powered by 
Analysis
Datasea Intelligent Technology (DTSS) Intangibles (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology posted Intangibles of $3.5 million, up 540.3% from FY2024.
- Intangibles has a five-year compound annual growth rate of 179.0% (FY2020 to FY2025).
- By fiscal year, Intangibles came in at $546,001 in FY2024 (-54.0%), $1.19 million in FY2023 (-31.9%), $1.74 million in FY2022 (+59.5%) and $1.09 million in FY2021.
- The fiscal Q2 2026 figure ranks as the highest quarterly Intangibles in data going back to fiscal Q2 2016.
- Year over year, Intangibles has now increased in each of the last six quarters, with growth averaging 265.0% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q3 2025 (growth of 569.6%); the low point was fiscal Q1 2024 (a decline of 66.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $4.61 million (Q1 2026), $3.5 million (Q4 2025) and $3.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 3.64 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 1.10 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 590.76 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 67.51 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 662.83 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | 5.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.30 Mn |
| Sep 30, 2025 | 4.61 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 3.81 Mn |
| Dec 31, 2024 | 4.08 Mn |
| Sep 30, 2024 | 3.50 Mn |
| Jun 30, 2024 | 546,001.00 |
| Mar 31, 2024 | 568,307.00 |
| Dec 31, 2023 | 660,080.00 |
| Sep 30, 2023 | 546,001.00 |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 1.61 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.20 Mn |
| Sep 30, 2021 | 1.09 Mn |
| Jun 30, 2021 | 1.09 Mn |
| Mar 31, 2021 | 1.04 Mn |
API Access
Datasea Intelligent Technology Intangibles 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=intangibles&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();