Datasea Intelligent Technology (DTSS) Return on Equity [ROE] (2016 - 2025)
Datasea Intelligent Technology's Return on Equity [ROE] was -22.75% in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 22.73 percentage points from -0.02% a year earlier and down 16.30 percentage points from the prior quarter.
Powered by 
Analysis
Datasea Intelligent Technology (DTSS) Return on Equity [ROE] (2016 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Return on Equity [ROE] at Datasea Intelligent Technology came in at -0.03%.
- Return on Equity [ROE] shows a five-year change of +38.59 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Equity [ROE] was -512.82% in FY2022 (-280.35 pp) and -232.47% in FY2021 (-193.85 pp).
- The fiscal Q2 2026 figure marks the lowest quarterly Return on Equity [ROE] since fiscal Q2 2023.
- Compared with a year earlier, Return on Equity [ROE] was higher in 1 of the last six quarters, with an average year-over-year change of -90.94 percentage points.
- The best year-over-year quarter for Return on Equity [ROE] over five years was fiscal Q2 2024 (a gain of 4726.49 percentage points); the worst was fiscal Q2 2023 (a drop of 4563.08 percentage points).
- Per Business Quant data, DTSS's Return on Equity [ROE] in the three fiscal quarters before Q2 2026 was -6.46% (Q1 2026), -0.01% (Q4 2025) and -0.03% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1,613.68% |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 15.04% |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 12.81% |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 43.20% |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 11.68% |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 6.70% |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 10.15% |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 11.56% |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | -22.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -22.75% |
| Sep 30, 2025 | -6.46% |
| Jun 30, 2025 | -0.01% |
| Mar 31, 2025 | -0.03% |
| Dec 31, 2024 | -0.02% |
| Sep 30, 2024 | -0.49% |
| Jun 30, 2024 | -2.11% |
| Mar 31, 2024 | 191.71% |
| Dec 31, 2023 | 68.75% |
| Sep 30, 2023 | 258.04% |
| Dec 31, 2022 | -4,657.73% |
| Sep 30, 2022 | -341.59% |
| Jun 30, 2022 | -187.05% |
| Mar 31, 2022 | -114.54% |
| Dec 31, 2021 | -94.65% |
| Sep 30, 2021 | -158.28% |
| Jun 30, 2021 | -437.79% |
| Mar 31, 2021 | -109.10% |
| Dec 31, 2020 | -69.14% |
| Sep 30, 2020 | -61.33% |
API Access
Datasea Intelligent Technology Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();