Datasea Intelligent Technology (DTSS) Asset Utilization Ratio (2017 - 2025)
Datasea Intelligent Technology's Asset Utilization Ratio was 6.97 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 2.1% from 6.82 a year earlier but down 21.9% from the prior quarter.
Powered by 
Analysis
Datasea Intelligent Technology (DTSS) Asset Utilization Ratio (2017 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Asset Utilization Ratio at Datasea Intelligent Technology came in at 14.28, up 80.1% from FY2024.
- In earlier fiscal years, Asset Utilization Ratio was 7.93 in FY2024 (+609.1%), 1.12 in FY2023 (-75.0%), 4.47 in FY2022 and 0.04 in FY2021 (-82.6%).
- Quarterly Asset Utilization Ratio has moved between 0.03 (fiscal Q3 2021) and 11.11 (fiscal Q4 2025) over five years.
- Compared with a year earlier, Asset Utilization Ratio has increased for nine straight quarters, with growth averaging 206.7% over the last eight quarters.
- The best year-over-year quarter for Asset Utilization Ratio over five years was fiscal Q3 2024 (growth of 748.6%); the worst was fiscal Q1 2024 (a decline of 59.1%).
- Per Business Quant data, DTSS's Asset Utilization Ratio in the three fiscal quarters before Q2 2026 was 8.92 (Q1 2026), 11.11 (Q4 2025) and 9.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.21 |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.05 |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.90 |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 1.39 |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 0.97 |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 1.91 |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 2.64 |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 1.21 |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | 6.97 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.97 |
| Sep 30, 2025 | 8.92 |
| Jun 30, 2025 | 11.11 |
| Mar 31, 2025 | 9.33 |
| Dec 31, 2024 | 6.82 |
| Sep 30, 2024 | 6.79 |
| Jun 30, 2024 | 7.19 |
| Mar 31, 2024 | 5.54 |
| Dec 31, 2023 | 3.16 |
| Sep 30, 2023 | 1.82 |
| Jun 30, 2023 | 1.57 |
| Mar 31, 2023 | 0.65 |
| Dec 31, 2022 | 2.75 |
| Sep 30, 2022 | 4.45 |
| Jun 30, 2022 | 2.08 |
| Mar 31, 2022 | 1.25 |
| Dec 31, 2021 | 0.67 |
| Sep 30, 2021 | 0.12 |
| Jun 30, 2021 | 0.04 |
| Mar 31, 2021 | 0.03 |
API Access
Datasea Intelligent Technology Asset Utilization Ratio 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=asset-utilization-ratio&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();