Datasea Intelligent Technology (DTSS) EBITDA Margin (2016 - 2025)
Datasea Intelligent Technology (DTSS) reported EBITDA Margin of 1.05% for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 5.59 percentage points from -4.54% a year earlier but down 0.23 percentage points from the prior quarter.
Datasea Intelligent Technology (DTSS) EBITDA Margin (2016 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Datasea Intelligent Technology's EBITDA Margin came in at -1.46%, up 24.20 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it came in at -5.61%, up 42.90 percentage points from FY2024.
- EBITDA Margin has a five-year change of +121.25 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at -48.51% in FY2024 (+157.02 pp), -205.53% in FY2023 (-166.54 pp), -38.99% in FY2022 (+2622.94 pp) and -2661.93% in FY2021 (-2535.08 pp).
- Five-year quarterly EBITDA Margin spans a low of -7432.07% in fiscal Q4 2021 and a high of 1.28% in fiscal Q1 2026.
- Year over year, EBITDA Margin has now increased in each of the last 11 quarters, with an average year-over-year change of +124.90 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q1 2022 (a gain of 8983.07 percentage points); the low point was fiscal Q3 2023 (a drop of 821.19 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at 1.28% (Q1 2026), 1.26% (Q4 2025) and -13.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 23.71% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 18.56% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 3.19% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 7.66% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 19.50% |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 4.13% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.06% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.96% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 13.03% |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 1.05% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.05% |
| Sep 30, 2025 | 1.28% |
| Jun 30, 2025 | 1.26% |
| Mar 31, 2025 | -13.43% |
| Dec 31, 2024 | -4.54% |
| Sep 30, 2024 | -9.23% |
| Jun 30, 2024 | -121.21% |
| Mar 31, 2024 | -287.16% |
| Dec 31, 2023 | -14.54% |
| Sep 30, 2023 | -10.46% |
| Jun 30, 2023 | -146.62% |
| Mar 31, 2023 | -837.43% |
| Dec 31, 2022 | -644.70% |
| Sep 30, 2022 | -77.81% |
| Jun 30, 2022 | -304.93% |
| Mar 31, 2022 | -16.24% |
| Dec 31, 2021 | -16.81% |
| Sep 30, 2021 | -220.80% |
| Jun 30, 2021 | -7,432.07% |
| Mar 31, 2021 | -6,911.63% |
Datasea Intelligent Technology EBITDA 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=ebitda-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();