Datasea Intelligent Technology (DTSS) Receivables - Net (2017 - 2025)
Datasea Intelligent Technology's Receivables - Net came in at $1.29 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 510.6% from $210,980 a year earlier and up 9.9% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Receivables - Net (2017 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Receivables - Net was $1.37 million, up 91.2% from FY2024.
- Receivables - Net carries a five-year compound annual growth rate of 37.0% (FY2020 to FY2025).
- Going back by fiscal year, Receivables - Net was $718,546 in FY2024 (+181.0%), $255,725 in FY2023 (-1.4%), $259,410 in FY2022 (-8.9%) and $284,825 in FY2021 (unchanged).
- The five-year range for quarterly Receivables - Net is $17,044 (fiscal Q3 2024) to $5.52 million (fiscal Q3 2022).
- Year-over-year, Receivables - Net increased in five of the last seven quarters, with growth averaging 163.6%.
- The fastest year-over-year change in Receivables - Net over five years came in fiscal Q2 2026 (growth of 510.6%), and the weakest in fiscal Q3 2024 (a decline of 98.3%).
- Business Quant data shows DTSS's Receivables - Net at $1.17 million (Q1 2026), $1.37 million (Q4 2025) and $49,066 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 49,066.00 |
| Dec 31, 2024 | 210,980.00 |
| Sep 30, 2024 | 18,445.00 |
| Jun 30, 2024 | 718,546.00 |
| Mar 31, 2024 | 17,044.00 |
| Dec 31, 2023 | 54,123.00 |
| Sep 30, 2023 | 22,158.00 |
| Jun 30, 2023 | 255,725.00 |
| Mar 31, 2023 | 975,020.00 |
| Dec 31, 2022 | 528,386.00 |
| Sep 30, 2022 | 518,324.00 |
| Jun 30, 2022 | 259,410.00 |
| Mar 31, 2022 | 5.52 Mn |
| Dec 31, 2021 | 5.22 Mn |
| Sep 30, 2021 | 711,638.00 |
| Jun 30, 2021 | 284,825.00 |
| Mar 31, 2021 | 284,825.00 |
API Access
Datasea Intelligent Technology Receivables - Net 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=receivables-net&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();