Datasea Intelligent Technology (DTSS) Accounts Payables (2018 - 2025)
Datasea Intelligent Technology (DTSS) recorded Accounts Payables of $335,631 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 6.8% from $314,367 a year earlier but down 0.2% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Accounts Payables (2018 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology reported Accounts Payables of $420,038, down 60.9% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Across earlier fiscal years, Accounts Payables came in at $1.08 million in FY2024 (+7.0%), $1.01 million in FY2023 (+1.0%), $994,884 in FY2022 (+77.1%) and $561,674 in FY2021 (+104.3%).
- Quarterly Accounts Payables has ranged from $314,367 in fiscal Q2 2025 to $1.64 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Accounts Payables rose in three of the last eight quarters, with an average decline of 30.1%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 231.2% in fiscal Q3 2023, against a decline of 64.6% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $336,292 (Q1 2026), $420,038 (Q4 2025) and $392,559 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 463.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 357.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 21.18 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 809.53 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 27.11 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 6.05 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 11.80 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | 335,631.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 335,631.00 |
| Sep 30, 2025 | 336,292.00 |
| Jun 30, 2025 | 420,038.00 |
| Mar 31, 2025 | 392,559.00 |
| Dec 31, 2024 | 314,367.00 |
| Sep 30, 2024 | 691,792.00 |
| Jun 30, 2024 | 1.08 Mn |
| Mar 31, 2024 | 579,370.00 |
| Dec 31, 2023 | 670,596.00 |
| Sep 30, 2023 | 642,294.00 |
| Jun 30, 2023 | 1.01 Mn |
| Mar 31, 2023 | 1.64 Mn |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 1.11 Mn |
| Jun 30, 2022 | 994,884.00 |
| Mar 31, 2022 | 494,185.00 |
| Dec 31, 2021 | 502,909.00 |
| Sep 30, 2021 | 613,283.00 |
| Jun 30, 2021 | 561,674.00 |
| Mar 31, 2021 | 390,220.00 |
API Access
Datasea Intelligent Technology Accounts Payables 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=accounts-payables&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();