Datasea Intelligent Technology (DTSS) Payables (2018 - 2025)
Datasea Intelligent Technology (DTSS) reported Payables of $335,631 for 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.
Powered by 
Analysis
Datasea Intelligent Technology (DTSS) Payables (2018 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology posted Payables of $420,038, down 60.9% from FY2024.
- Payables has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- By fiscal year, Payables came in at $1.08 million in FY2024 (-32.8%), $1.6 million in FY2023 (+45.8%), $1.1 million in FY2022 (+95.3%) and $561,674 in FY2021 (+104.3%).
- Five-year quarterly Payables spans a low of $314,367 in fiscal Q2 2025 and a high of $1.64 million in fiscal Q3 2023.
- Year over year, Payables gained in 1 of the last eight quarters, with an average decline of 43.6%.
- The high point for year-over-year Payables in five years was fiscal Q3 2023 (growth of 231.2%); the low point was fiscal Q2 2025 (a decline of 73.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 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) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 463.39 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 390.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 21.18 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 5.12 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 809.53 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 27.11 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.05 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.80 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 41.55 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 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 | 1.06 Mn |
| Dec 31, 2023 | 1.17 Mn |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 1.60 Mn |
| Mar 31, 2023 | 1.64 Mn |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 1.11 Mn |
| Jun 30, 2022 | 1.10 Mn |
| 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 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=payables&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();