Datasea Intelligent Technology (DTSS) Cost of Revenue (2016 - 2025)
Datasea Intelligent Technology's Cost of Revenue was $36.54 million in FY2026 (year ended Jun 30, 2026), down 47.2% from $69.17 million in FY2025.
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Analysis
Datasea Intelligent Technology (DTSS) Cost of Revenue (2016 - 2025) Analysis & Trends
- Per Business Quant data, Cost of Revenue in earlier fiscal years was $69.17 million in FY2025 (+194.3%) and $23.5 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | 11.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.80 Mn |
| Sep 30, 2025 | 12.64 Mn |
| Jun 30, 2025 | 18.19 Mn |
| Mar 31, 2025 | 10.06 Mn |
| Dec 31, 2024 | 20.04 Mn |
| Sep 30, 2024 | 20.88 Mn |
| Jun 30, 2024 | 4.08 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 11.25 Mn |
| Sep 30, 2023 | 6.81 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 12,914.00 |
| Dec 31, 2022 | 96,030.00 |
| Sep 30, 2022 | 1.01 Mn |
| Jun 30, 2022 | 729,389.00 |
| Mar 31, 2022 | 6.06 Mn |
| Dec 31, 2021 | 6.06 Mn |
| Sep 30, 2021 | 607,535.00 |
| Jun 30, 2021 | 14,210.00 |
| Mar 31, 2021 | 9,912.00 |
API Access
Datasea Intelligent Technology Cost of Revenue 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=cost-of-revenue&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();