Datasea Intelligent Technology (DTSS) Other Non-Current Assets (2017 - 2024)
Datasea Intelligent Technology (DTSS) recorded Other Non-Current Assets of $56,378 in fiscal Q3 2024 (quarter ended Mar 31, 2024), down 84.5% from $363,464 a year earlier and down 0.2% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Other Non-Current Assets (2017 - 2024) Analysis & Trends
At the end of FY2023 (ended Jun 30, 2023), Datasea Intelligent Technology reported Other Non-Current Assets of $16,400, down 4.5% from FY2022.
- Annual Other Non-Current Assets has a five-year compound annual growth rate of -25.7% (FY2018 to FY2023).
- Across earlier fiscal years, Other Non-Current Assets came in at $17,181 in FY2022 (-96.3%), $468,615 in FY2021 (unchanged), $468,615 in FY2020 (-6.3%) and $500,000 in FY2019 (+589.4%).
- Quarterly Other Non-Current Assets has ranged from $16,400 in fiscal Q4 2023 to $1.42 million in fiscal Q1 2020 over the past five years.
- On a year-over-year basis, Other Non-Current Assets has declined for five consecutive quarters, with an average decline of 47.0% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Assets in the last five years was growth of 589.4% in fiscal Q4 2019, against a decline of 96.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $56,476 (Q2 2024), $55,712 (Q1 2024) and $16,400 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 411.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.10 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 617.83 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 125.07 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 687.77 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 387.88 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 566.61 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 156.17 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 56,378.00 |
| Dec 31, 2023 | 56,476.00 |
| Sep 30, 2023 | 55,712.00 |
| Jun 30, 2023 | 16,400.00 |
| Mar 31, 2023 | 363,464.00 |
| Dec 31, 2022 | 1.31 Mn |
| Sep 30, 2022 | 483,977.00 |
| Jun 30, 2022 | 17,181.00 |
| Mar 31, 2022 | 381,658.00 |
| Dec 31, 2021 | 1.30 Mn |
| Sep 30, 2021 | 498,537.00 |
| Jun 30, 2021 | 468,615.00 |
| Mar 31, 2021 | 468,615.00 |
| Jun 30, 2020 | 468,615.00 |
| Mar 31, 2020 | 600,000.00 |
| Dec 31, 2019 | 726,396.00 |
| Sep 30, 2019 | 1.42 Mn |
| Jun 30, 2019 | 500,000.00 |
| Mar 31, 2019 | 47,240.00 |
| Dec 31, 2018 | 46,140.00 |
API Access
Datasea Intelligent Technology Other Non-Current Assets 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-assets&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-assets&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();