Datasea Intelligent Technology (DTSS) Return on Capital Employed [ROCE] (2016 - 2025)
Datasea Intelligent Technology (DTSS) posted Return on Capital Employed [ROCE] of -86.10% for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 205.63 percentage points from -291.73% a year earlier and up 22.90 percentage points from the prior quarter.
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Datasea Intelligent Technology (DTSS) Return on Capital Employed [ROCE] (2016 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Return on Capital Employed [ROCE] came in at -371.77%.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -337.08 percentage points (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Return on Capital Employed [ROCE] was -425.52% in FY2022 (-1.13 pp) and -424.38% in FY2021 (-389.69 pp).
- The fiscal Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last five quarters, with an average year-over-year change of +170.39 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was fiscal Q1 2026, with a gain of 604.12 percentage points; the weakest was fiscal Q1 2023, with a drop of 836.63 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior fiscal quarters was -109.00% (Q1 2026), -182.93% (Q4 2025) and -359.32% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 37.20% |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 19.98% |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 16.31% |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 19.62% |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 14.39% |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 10.42% |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 14.02% |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 14.69% |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | -86.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -86.10% |
| Sep 30, 2025 | -109.00% |
| Jun 30, 2025 | -182.93% |
| Mar 31, 2025 | -359.32% |
| Dec 31, 2024 | -291.73% |
| Sep 30, 2024 | -713.12% |
| Mar 31, 2024 | -607.44% |
| Dec 31, 2023 | -194.92% |
| Sep 30, 2023 | -604.03% |
| Sep 30, 2022 | -992.37% |
| Jun 30, 2022 | -133.93% |
| Mar 31, 2022 | -118.46% |
| Dec 31, 2021 | -131.21% |
| Sep 30, 2021 | -155.74% |
| Jun 30, 2021 | -495.91% |
| Mar 31, 2021 | -91.82% |
| Dec 31, 2020 | -53.11% |
| Sep 30, 2020 | -56.81% |
| Jun 30, 2020 | -40.66% |
| Mar 31, 2020 | -57.25% |
API Access
Datasea Intelligent Technology Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();