Datasea Intelligent Technology (DTSS) Operating Leases (2019 - 2025)
Datasea Intelligent Technology (DTSS) posted Operating Leases of $129,654 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 11.0% from $116,820 a year earlier but down 25.1% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Operating Leases (2019 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Operating Leases came in at $166,436.
- Annual Operating Leases shows a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Operating Leases was $26,449 in FY2023 (-16.0%), $31,470 in FY2022 (-60.5%) and $79,676 in FY2021 (-76.7%).
- Quarterly Operating Leases has run from a low of $17,781 in fiscal Q1 2024 to a high of $777,455 in fiscal Q3 2021 over five years.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2025, with growth of 645.4%; the weakest was fiscal Q1 2022, with a decline of 97.8%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $173,057 (Q1 2026), $166,436 (Q4 2025) and $189,989 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 129,654.00 |
| Sep 30, 2025 | 173,057.00 |
| Jun 30, 2025 | 166,436.00 |
| Mar 31, 2025 | 189,989.00 |
| Dec 31, 2024 | 116,820.00 |
| Sep 30, 2024 | 132,541.00 |
| Sep 30, 2023 | 17,781.00 |
| Jun 30, 2023 | 26,449.00 |
| Sep 30, 2022 | 26,449.00 |
| Jun 30, 2022 | 31,470.00 |
| Mar 31, 2022 | 132,257.00 |
| Dec 31, 2021 | 229,024.00 |
| Sep 30, 2021 | 21,043.00 |
| Jun 30, 2021 | 79,676.00 |
| Mar 31, 2021 | 777,455.00 |
| Dec 31, 2020 | 949,439.00 |
| Sep 30, 2020 | 960,657.00 |
| Jun 30, 2020 | 341,273.00 |
| Mar 31, 2020 | 421,558.00 |
| Dec 31, 2019 | 535,417.00 |
API Access
Datasea Intelligent Technology Operating Leases 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-leases&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();