Datasea Intelligent Technology (DTSS) Accumulated Expenses (2015 - 2024)
Datasea Intelligent Technology's Accumulated Expenses was $691,792 in fiscal Q1 2025 (quarter ended Sep 30, 2024), up 15.9% from the prior quarter.
Powered by 
Analysis
Datasea Intelligent Technology (DTSS) Accumulated Expenses (2015 - 2024) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), Accumulated Expenses at Datasea Intelligent Technology came in at $596,714, down 57.7% from FY2023.
- Accumulated Expenses shows a five-year compound annual growth rate of 114.7% (FY2019 to FY2024).
- In earlier fiscal years, Accumulated Expenses was $1.41 million in FY2023 (+613.6%), $197,573 in FY2022 (+13.1%), $174,718 in FY2021 (+271.9%) and $46,975 in FY2020 (+258.9%).
- The fiscal Q1 2025 figure marks the highest quarterly Accumulated Expenses since fiscal Q4 2023.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last four quarters, with growth averaging 98.4%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2023 (growth of 613.6%); the worst was fiscal Q2 2023 (a decline of 87.5%).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 691,792.00 |
| Jun 30, 2024 | 596,714.00 |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.22 Mn |
| Dec 31, 2022 | 628,452.00 |
| Sep 30, 2022 | 296,785.00 |
| Jun 30, 2022 | 197,573.00 |
| Mar 31, 2022 | 4.87 Mn |
| Dec 31, 2021 | 5.02 Mn |
| Sep 30, 2021 | 749,866.00 |
| Jun 30, 2021 | 174,718.00 |
| Mar 31, 2021 | 133,386.00 |
| Dec 31, 2020 | 74,671.00 |
| Sep 30, 2020 | 62,011.00 |
| Jun 30, 2020 | 46,975.00 |
| Mar 31, 2020 | 46,768.00 |
| Dec 31, 2019 | 52,771.00 |
| Sep 30, 2019 | 12,572.00 |
| Jun 30, 2019 | 13,088.00 |
| Mar 31, 2019 | 103,463.00 |
API Access
Datasea Intelligent Technology Accumulated Expenses 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=accumulated-expenses&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();