Datasea Intelligent Technology (DTSS) Other Non-Current Liabilities (2021 - 2025)
Datasea Intelligent Technology (DTSS) posted Other Non-Current Liabilities of $10,587 for fiscal Q3 2025 (quarter ended Mar 31, 2025), down 30.9% from the prior quarter.
Datasea Intelligent Technology (DTSS) Other Non-Current Liabilities (2021 - 2025) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), Datasea Intelligent Technology's Other Non-Current Liabilities came in at $15,456, down 33.7% from FY2023.
- Annual Other Non-Current Liabilities shows a three-year compound annual growth rate of -91.4% (FY2021 to FY2024).
- In prior fiscal years, Datasea Intelligent Technology's Other Non-Current Liabilities was $23,312 in FY2023 (-99.9%), $40.37 million in FY2022 (+66.3%) and $24.28 million in FY2021.
- The fiscal Q3 2025 figure stands as the lowest quarterly Other Non-Current Liabilities since fiscal Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 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 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 10,587.00 |
| Dec 31, 2024 | 15,323.00 |
| Jun 30, 2024 | 15,456.00 |
| Dec 31, 2023 | 672.00 |
| Sep 30, 2023 | 17,907.00 |
| Jun 30, 2023 | 23,312.00 |
| Mar 31, 2023 | 58,210.00 |
| Jun 30, 2022 | 40.37 Mn |
| Jun 30, 2021 | 24.28 Mn |
Datasea Intelligent Technology Other 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=other-non-current-liabilities&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();