Datasea Intelligent Technology (DTSS) Total Current Liabilities (2015 - 2025)
Datasea Intelligent Technology's Total Current Liabilities came in at $5.04 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 96.9% from $2.56 million a year earlier and up 23.5% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Total Current Liabilities (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Total Current Liabilities was $3.63 million, up 0.8% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 39.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $3.6 million in FY2024 (-26.6%), $4.91 million in FY2023 (+130.9%), $2.12 million in FY2022 (-34.8%) and $3.26 million in FY2021 (+372.6%).
- The fiscal Q2 2026 figure represents the highest quarterly Total Current Liabilities since fiscal Q3 2023.
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q2 2022 (growth of 406.7%), and the weakest in fiscal Q3 2024 (a decline of 60.1%).
- Business Quant data shows DTSS's Total Current Liabilities at $4.08 million (Q1 2026), $3.63 million (Q4 2025) and $3.13 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.59 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 3.46 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 24.67 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 8.30 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 3.87 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.74 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 7.50 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 14.16 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 804.44 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 5.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.04 Mn |
| Sep 30, 2025 | 4.08 Mn |
| Jun 30, 2025 | 3.63 Mn |
| Mar 31, 2025 | 3.13 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | 3.76 Mn |
| Jun 30, 2024 | 3.60 Mn |
| Mar 31, 2024 | 2.19 Mn |
| Dec 31, 2023 | 2.41 Mn |
| Sep 30, 2023 | 4.47 Mn |
| Jun 30, 2023 | 4.91 Mn |
| Mar 31, 2023 | 5.49 Mn |
| Dec 31, 2022 | 4.12 Mn |
| Sep 30, 2022 | 2.80 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 6.23 Mn |
| Dec 31, 2021 | 6.57 Mn |
| Sep 30, 2021 | 3.46 Mn |
| Jun 30, 2021 | 3.26 Mn |
| Mar 31, 2021 | 1.99 Mn |
API Access
Datasea Intelligent Technology Total Current Liabilities 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=total-current-liabilities&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();