Datasea Intelligent Technology (DTSS) Non-Current Assets (2015 - 2025)
Datasea Intelligent Technology's Non-Current Assets came in at $5.62 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 30.4% from $4.31 million a year earlier and up 13.0% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Non-Current Assets (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Non-Current Assets was $3.81 million, up 492.3% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $643,812 in FY2024 (-56.1%), $1.46 million in FY2023 (-41.4%), $2.5 million in FY2022 (-17.0%) and $3.01 million in FY2021 (+196.6%).
- The fiscal Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to fiscal Q4 2015.
- Year-over-year, Non-Current Assets has increased for five consecutive quarters, with growth averaging 222.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q1 2026 (growth of 542.0%), and the weakest in fiscal Q1 2024 (a decline of 57.2%).
- Business Quant data shows DTSS's Non-Current Assets at $4.97 million (Q1 2026), $3.81 million (Q4 2025) and $4.16 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 8.92 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.39 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.09 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.00 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 5.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.62 Mn |
| Sep 30, 2025 | 4.97 Mn |
| Jun 30, 2025 | 3.81 Mn |
| Mar 31, 2025 | 4.16 Mn |
| Dec 31, 2024 | 4.31 Mn |
| Sep 30, 2024 | 774,726.00 |
| Jun 30, 2024 | 643,812.00 |
| Mar 31, 2024 | 757,025.00 |
| Dec 31, 2023 | 886,397.00 |
| Sep 30, 2023 | 904,346.00 |
| Jun 30, 2023 | 1.46 Mn |
| Mar 31, 2023 | 1.47 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 2.50 Mn |
| Mar 31, 2022 | 2.59 Mn |
| Dec 31, 2021 | 2.74 Mn |
| Sep 30, 2021 | 2.77 Mn |
| Jun 30, 2021 | 3.01 Mn |
| Mar 31, 2021 | 3.09 Mn |
API Access
Datasea Intelligent Technology Non-Current Assets 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=non-current-assets&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();