Datasea Intelligent Technology (DTSS) Change in Receivables (2017 - 2025)
Datasea Intelligent Technology (DTSS) recorded Change in Receivables of $101,754 in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 48.2% from $196,389 a year earlier.
Powered by 
Analysis
Datasea Intelligent Technology (DTSS) Change in Receivables (2017 - 2025) Analysis & Trends
On a TTM basis, Datasea Intelligent Technology's Change in Receivables came in at $1.05 million as of Dec 31, 2025, up 560.9% year-over-year; for FY2025 (ended Jun 30, 2025), it was $658,711, down 8.2% from FY2024.
- Annual Change in Receivables has a five-year compound annual growth rate of 257.4% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Receivables came in at $717,220 in FY2024, $15,387 in FY2023 (-94.3%), $267,771 in FY2022 and $613.00 in FY2021 (-45.7%).
- Quarterly Change in Receivables has ranged from -$5.2 million in fiscal Q4 2022 to $4.26 million in fiscal Q2 2022 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$211,824 (Q1 2026), $1.33 million (Q4 2025) and -$162,014 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 131.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.15 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 883.90 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 2.06 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 1.40 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | -162.00 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 | 101,754.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 101,754.00 |
| Sep 30, 2025 | -211,824.00 |
| Jun 30, 2025 | 1.33 Mn |
| Mar 31, 2025 | -162,014.00 |
| Dec 31, 2024 | 196,389.00 |
| Sep 30, 2024 | -701,384.00 |
| Jun 30, 2024 | 701,030.00 |
| Mar 31, 2024 | -36,615.00 |
| Dec 31, 2023 | 31,369.00 |
| Sep 30, 2023 | 21,436.00 |
| Jun 30, 2023 | -701,308.00 |
| Mar 31, 2023 | 578,130.00 |
| Dec 31, 2022 | 232,076.00 |
| Sep 30, 2022 | -93,511.00 |
| Jun 30, 2022 | -5.20 Mn |
| Mar 31, 2022 | 294,083.00 |
| Dec 31, 2021 | 4.26 Mn |
| Sep 30, 2021 | 913,091.00 |
| Jun 30, 2021 | -11,767.00 |
| Sep 30, 2020 | 5,057.00 |
API Access
Datasea Intelligent Technology Change in Receivables 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-receivables&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();