Datasea Intelligent Technology (DTSS) Operating Margin (2016 - 2025)
Datasea Intelligent Technology (DTSS) recorded Operating Margin of -3.98% in 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) Operating Margin (2016 - 2025) Analysis & Trends
On a TTM basis, Datasea Intelligent Technology's Operating Margin came in at -4.73% as of Dec 31, 2025, 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 Operating Margin has a five-year change of +127.46 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at -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 Operating Margin has ranged from -7823.20% in fiscal Q4 2021 to -0.59% in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Margin has increased for 11 consecutive quarters, with an average year-over-year change of +148.53 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 9440.48 percentage points in fiscal Q1 2022, against a drop of 1013.23 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -2.09% (Q1 2026), -0.59% (Q4 2025) and -17.09% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 2.65% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 10.76% |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 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 Operating 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=operating-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();