Datasea Intelligent Technology (DTSS) EBIT Margin (2016 - 2025)
Datasea Intelligent Technology (DTSS) posted EBIT Margin of -3.98% for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 2.08 percentage points from -6.05% a year earlier but down 1.89 percentage points from the prior quarter.
Datasea Intelligent Technology (DTSS) EBIT Margin (2016 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, EBIT Margin at Datasea Intelligent Technology was -4.73%, up 22.23 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it was -7.20%, up 43.38 percentage points from FY2024.
- Annual EBIT Margin shows a five-year change of +127.46 percentage points (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's EBIT Margin was -50.57% in FY2024 (+174.23 pp), -224.80% in FY2023 (-182.43 pp), -42.37% in FY2022 (+2733.32 pp) and -2775.69% in FY2021 (-2641.04 pp).
- Quarterly EBIT Margin has run from a low of -7823.20% in fiscal Q4 2021 to a high of -0.59% in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBIT Margin has increased in each of the last 11 quarters, with an average year-over-year change of +148.53 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBIT Margin in the past five years was fiscal Q1 2022, with a gain of 9440.48 percentage points; the weakest was fiscal Q3 2023, with a drop of 1013.23 percentage points.
- According to Business Quant data, EBIT Margin for the three prior fiscal quarters was -2.09% (Q1 2026), -0.59% (Q4 2025) and -17.09% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 21.12% |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 2.65% |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 15.85% |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 10.76% |
| 10 | Datasea Intelligent Technology | 8.63 Mn | 5.71 Mn | 1.19 Mn | -3.98% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -3.98% |
| Sep 30, 2025 | -2.09% |
| Jun 30, 2025 | -0.59% |
| Mar 31, 2025 | -17.09% |
| Dec 31, 2024 | -6.05% |
| Sep 30, 2024 | -9.63% |
| Jun 30, 2024 | -123.09% |
| Mar 31, 2024 | -297.01% |
| Dec 31, 2023 | -15.76% |
| Sep 30, 2023 | -12.47% |
| Jun 30, 2023 | -151.56% |
| Mar 31, 2023 | -1,032.17% |
| Dec 31, 2022 | -779.99% |
| Sep 30, 2022 | -94.11% |
| Jun 30, 2022 | -325.91% |
| Mar 31, 2022 | -18.94% |
| Dec 31, 2021 | -18.94% |
| Sep 30, 2021 | -234.51% |
| Jun 30, 2021 | -7,823.20% |
| Mar 31, 2021 | -7,161.04% |
Datasea Intelligent Technology EBIT 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=ebit-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();