Datasea Intelligent Technology (DTSS) Gross Margin (2016 - 2025)
Datasea Intelligent Technology's Gross Margin came in at 9.18% for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 7.14 percentage points from 2.04% a year earlier and up 0.72 percentage points from the prior quarter.
Datasea Intelligent Technology (DTSS) Gross Margin (2016 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Datasea Intelligent Technology reported Gross Margin of 7.37%, up 5.44 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it came in at 3.41%, up 1.44 percentage points from FY2024.
- Gross Margin carries a five-year change of -86.24 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Gross Margin was 1.98% in FY2024 (-1.74 pp), 3.72% in FY2023 (-1.87 pp), 5.59% in FY2022 (-48.08 pp) and 53.67% in FY2021 (-35.98 pp).
- The fiscal Q2 2026 figure represents the highest quarterly Gross Margin since fiscal Q3 2023.
- Year-over-year, Gross Margin has increased for five consecutive quarters, with an average year-over-year change of -7.41 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in fiscal Q1 2022 (a gain of 96.10 percentage points), and the weakest in fiscal Q3 2024 (a drop of 84.01 percentage points).
- Business Quant data shows DTSS's Gross Margin at 8.46% (Q1 2026), 7.77% (Q4 2025) and 2.88% (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 31.48% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 33.37% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 6.84% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 20.08% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 11.26% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.43% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 6.60% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 30.36% |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 9.18% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.18% |
| Sep 30, 2025 | 8.46% |
| Jun 30, 2025 | 7.77% |
| Mar 31, 2025 | 2.88% |
| Dec 31, 2024 | 2.04% |
| Sep 30, 2024 | 0.93% |
| Jun 30, 2024 | 6.58% |
| Mar 31, 2024 | 0.71% |
| Dec 31, 2023 | 0.90% |
| Sep 30, 2023 | 1.09% |
| Jun 30, 2023 | 0.83% |
| Mar 31, 2023 | 84.73% |
| Dec 31, 2022 | 26.95% |
| Sep 30, 2022 | 12.90% |
| Jun 30, 2022 | 7.29% |
| Mar 31, 2022 | 8.86% |
| Dec 31, 2021 | 8.86% |
| Sep 30, 2021 | 9.48% |
| Jun 30, 2021 | 36.03% |
| Mar 31, 2021 | 43.96% |
Datasea Intelligent Technology Gross Margin 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=gross-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();