Datasea Intelligent Technology (DTSS) Change in Intangibles (2018 - 2025)
Datasea Intelligent Technology (DTSS) recorded Change in Intangibles of $1.28 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 67.2% from $3.91 million a year earlier and down 17.3% from the prior quarter.
Datasea Intelligent Technology (DTSS) Change in Intangibles (2018 - 2025) Analysis & Trends
On a TTM basis, Datasea Intelligent Technology's Change in Intangibles came in at $2.96 million as of Dec 31, 2025, down 26.8% year-over-year; for FY2025 (ended Jun 30, 2025), it was $4.08 million.
- Annual Change in Intangibles has a five-year compound annual growth rate of 224.4% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Intangibles came in at $161,054 in FY2024 (+100.2%), $80,438 in FY2023 (-92.3%), $1.05 million in FY2022 and $26,148 in FY2021 (+130.5%).
- Quarterly Change in Intangibles has ranged from -$71,169 in fiscal Q2 2023 to $3.91 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Change in Intangibles rose in 1 of the last four quarters, with growth averaging 2.4%.
- Per Business Quant, the preceding three fiscal quarters came in at $1.55 million (Q1 2026), $40,535 (Q4 2025) and $86,261 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | -32.25 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | - |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | 1.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.28 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 40,535.00 |
| Mar 31, 2025 | 86,261.00 |
| Dec 31, 2024 | 3.91 Mn |
| Sep 30, 2024 | 44,768.00 |
| Jun 30, 2024 | 55,870.00 |
| Mar 31, 2024 | 37,086.00 |
| Jun 30, 2023 | 78,103.00 |
| Mar 31, 2023 | 350.00 |
| Dec 31, 2022 | -71,169.00 |
| Sep 30, 2022 | 73,154.00 |
| Jun 30, 2022 | 648,993.00 |
| Mar 31, 2022 | 203,967.00 |
| Jun 30, 2021 | 214.00 |
| Mar 31, 2021 | 17,452.00 |
| Dec 31, 2020 | 181.00 |
| Sep 30, 2020 | 8,301.00 |
| Jun 30, 2020 | -1.39 Mn |
| Dec 31, 2019 | 1.11 Mn |
Datasea Intelligent Technology Change in 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=change-in-intangibles&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-intangibles&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();