Datasea Intelligent Technology (DTSS) EBT Margin (2016 - 2025)
Datasea Intelligent Technology (DTSS) reported EBT Margin of -4.15% for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 1.37 percentage points from -5.51% a year earlier but down 2.69 percentage points from the prior quarter.
Datasea Intelligent Technology (DTSS) EBT Margin (2016 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Datasea Intelligent Technology's EBT Margin came in at -4.78%, up 21.91 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it was -7.09%, up 43.88 percentage points from FY2024.
- EBT Margin has a five-year change of +124.24 percentage points (FY2020 to FY2025).
- By fiscal year, EBT Margin came in at -50.97% in FY2024 (+174.49 pp), -225.47% in FY2023 (-183.83 pp), -41.64% in FY2022 (+2747.20 pp) and -2788.84% in FY2021 (-2657.50 pp).
- Five-year quarterly EBT Margin spans a low of -7835.74% in fiscal Q4 2021 and a high of -1.00% in fiscal Q4 2025.
- Year over year, EBT Margin has now increased in each of the last 11 quarters, with an average year-over-year change of +146.04 percentage points over the last eight quarters.
- The high point for year-over-year EBT Margin in five years was fiscal Q1 2022 (a gain of 9341.42 percentage points); the low point was fiscal Q3 2023 (a drop of 992.91 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at -1.46% (Q1 2026), -1.00% (Q4 2025) and -17.22% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 22.88% |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 15.96% |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 2.20% |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 5.67% |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 15.12% |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 3.53% |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 1.93% |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 1.08% |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 9.93% |
| 10 | Datasea Intelligent Technology | 8.63 Mn | 5.71 Mn | 1.19 Mn | -4.15% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -4.15% |
| Sep 30, 2025 | -1.46% |
| Jun 30, 2025 | -1.00% |
| Mar 31, 2025 | -17.22% |
| Dec 31, 2024 | -5.51% |
| Sep 30, 2024 | -9.35% |
| Jun 30, 2024 | -123.31% |
| Mar 31, 2024 | -299.48% |
| Dec 31, 2023 | -16.15% |
| Sep 30, 2023 | -12.58% |
| Jun 30, 2023 | -151.74% |
| Mar 31, 2023 | -1,011.66% |
| Dec 31, 2022 | -806.08% |
| Sep 30, 2022 | -94.21% |
| Jun 30, 2022 | -316.38% |
| Mar 31, 2022 | -18.75% |
| Dec 31, 2021 | -18.75% |
| Sep 30, 2021 | -231.45% |
| Jun 30, 2021 | -7,835.74% |
| Mar 31, 2021 | -7,216.71% |
Datasea Intelligent Technology EBT 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=ebt-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();