Datasea Intelligent Technology (DTSS) Goodwill & Intangibles (2015 - 2026)
Datasea Intelligent Technology (DTSS) posted Goodwill & 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.
Datasea Intelligent Technology (DTSS) Goodwill & Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Goodwill & Intangibles came in at $3.5 million, up 540.3% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 179.0% (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Goodwill & Intangibles was $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 stands as the highest quarterly Goodwill & Intangibles in data going back to fiscal Q2 2016.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last six quarters, with growth averaging 265.0% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q3 2025, with growth of 569.6%; the weakest was fiscal Q1 2024, with a decline of 66.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $4.61 million (Q1 2026), $3.5 million (Q4 2025) and $3.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11,251.32 Bn |
| 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 |
Datasea Intelligent Technology Goodwill & 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=goodwill-and-intangibles&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();