Datasea Intelligent Technology (DTSS) Prepaid Assets (2015 - 2025)
Datasea Intelligent Technology's Prepaid Assets was $847,241 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 23.7% from $684,783 a year earlier and up 64.6% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Prepaid Assets (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Prepaid Assets at Datasea Intelligent Technology came in at $583,650, down 60.7% from FY2024.
- Prepaid Assets shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In earlier fiscal years, Prepaid Assets was $1.49 million in FY2024 (+112.0%), $701,423 in FY2023 (unchanged), $701,423 in FY2022 (-6.9%) and $753,440 in FY2021 (unchanged).
- The fiscal Q2 2026 figure marks the highest quarterly Prepaid Assets since fiscal Q1 2025.
- Compared with a year earlier, Prepaid Assets was higher in two of the last seven quarters, with an average decline of 32.5%.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q1 2024 (growth of 534.3%); the worst was fiscal Q3 2023 (a decline of 87.3%).
- Per Business Quant data, DTSS's Prepaid Assets in the three fiscal quarters before Q2 2026 was $514,879 (Q1 2026), $583,650 (Q4 2025) and $614,558 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 847,241.00 |
| Sep 30, 2025 | 514,879.00 |
| Jun 30, 2025 | 583,650.00 |
| Mar 31, 2025 | 614,558.00 |
| Dec 31, 2024 | 684,783.00 |
| Sep 30, 2024 | 1.91 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | 2.73 Mn |
| Dec 31, 2023 | 3.77 Mn |
| Sep 30, 2023 | 6.36 Mn |
| Jun 30, 2023 | 701,423.00 |
| Mar 31, 2023 | 122,253.00 |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 701,423.00 |
| Mar 31, 2022 | 961,350.00 |
| Dec 31, 2021 | 1.87 Mn |
| Sep 30, 2021 | 782,251.00 |
| Jun 30, 2021 | 753,440.00 |
| Mar 31, 2021 | 753,440.00 |
API Access
Datasea Intelligent Technology Prepaid 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=prepaid-assets&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();