Datasea Intelligent Technology (DTSS) Total Non-Current Liabilities (2019 - 2025)
Datasea Intelligent Technology (DTSS) recorded Total Non-Current Liabilities of $129,654 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 11.0% from $116,820 a year earlier but down 78.2% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology reported Total Non-Current Liabilities of $166,436, down 95.3% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $3.51 million in FY2024 (+146.0%), $1.43 million in FY2023, $31,470 in FY2022 (-94.4%) and $558,739 in FY2021 (+63.7%).
- Quarterly Total Non-Current Liabilities has ranged from $672.00 in fiscal Q2 2024 to $3.51 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last five quarters, with growth averaging 131.3%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 349.1% in fiscal Q1 2026, against a decline of 99.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $595,265 (Q1 2026), $166,436 (Q4 2025) and $189,989 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 29.07 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 8.68 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 30.80 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 10.19 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 17.06 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | 129,654.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 129,654.00 |
| Sep 30, 2025 | 595,265.00 |
| Jun 30, 2025 | 166,436.00 |
| Mar 31, 2025 | 189,989.00 |
| Dec 31, 2024 | 116,820.00 |
| Sep 30, 2024 | 132,541.00 |
| Jun 30, 2024 | 3.51 Mn |
| Dec 31, 2023 | 672.00 |
| Sep 30, 2023 | 38,341.00 |
| Jun 30, 2023 | 1.43 Mn |
| Mar 31, 2023 | 143,552.00 |
| Dec 31, 2022 | 168,384.00 |
| Jun 30, 2022 | 31,470.00 |
| Mar 31, 2022 | 132,257.00 |
| Dec 31, 2021 | 229,024.00 |
| Sep 30, 2021 | 340,699.00 |
| Jun 30, 2021 | 558,739.00 |
| Mar 31, 2021 | 777,455.00 |
| Dec 31, 2020 | 949,439.00 |
| Sep 30, 2020 | 960,657.00 |
API Access
Datasea Intelligent Technology Total Non-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-non-current-liabilities&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();