Datasea Intelligent Technology (DTSS) Return on Assets [ROA] (2016 - 2025)
Datasea Intelligent Technology (DTSS) reported Return on Assets [ROA] of -9.06% for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 9.05 percentage points from -0.01% a year earlier and down 6.39 percentage points from the prior quarter.
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Datasea Intelligent Technology (DTSS) Return on Assets [ROA] (2016 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology posted Return on Assets [ROA] of -0.01%, up 0.35 percentage points from FY2024.
- Return on Assets [ROA] has increased for three consecutive fiscal years, with a five-year change of +30.14 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Assets [ROA] came in at -0.35% in FY2024 (+6.35 pp), -6.71% in FY2023 (+179.20 pp), -185.91% in FY2022 (-75.00 pp) and -110.90% in FY2021 (-80.76 pp).
- The fiscal Q2 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since fiscal Q3 2023.
- Year over year, Return on Assets [ROA] gained in three of the last eight quarters, with an average year-over-year change of +16.80 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q3 2024 (a gain of 281.95 percentage points); the low point was fiscal Q2 2023 (a drop of 147.65 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at -2.67% (Q1 2026), -0.01% (Q4 2025) and -0.01% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 959.88% |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 10.74% |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 3.30% |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 6.40% |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 2.18% |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 2.31% |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 2.03% |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 8.66% |
| 10 | Datasea Intelligent Technology | 8.42 Mn | 5.51 Mn | 1.19 Mn | -9.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -9.06% |
| Sep 30, 2025 | -2.67% |
| Jun 30, 2025 | -0.01% |
| Mar 31, 2025 | -0.01% |
| Dec 31, 2024 | -0.01% |
| Sep 30, 2024 | -0.17% |
| Jun 30, 2024 | -0.32% |
| Mar 31, 2024 | 88.83% |
| Dec 31, 2023 | 34.88% |
| Sep 30, 2023 | 19.17% |
| Jun 30, 2023 | -7.11% |
| Mar 31, 2023 | -193.11% |
| Dec 31, 2022 | -200.42% |
| Sep 30, 2022 | -184.52% |
| Jun 30, 2022 | -92.11% |
| Mar 31, 2022 | -51.88% |
| Dec 31, 2021 | -52.77% |
| Sep 30, 2021 | -79.22% |
| Jun 30, 2021 | -115.23% |
| Mar 31, 2021 | -55.25% |
API Access
Datasea Intelligent Technology Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();