Datasea Intelligent Technology (DTSS) Property, Plant & Equipment (Net) (2015 - 2026)
Datasea Intelligent Technology (DTSS) recorded Property, Plant & Equipment (Net) of $23,335 in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 43.6% from $41,399 a year earlier and down 2.7% from the prior quarter.
Datasea Intelligent Technology (DTSS) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology reported Property, Plant & Equipment (Net) of $25,560, down 47.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -38.5% (FY2020 to FY2025).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $48,466 in FY2024 (-43.6%), $85,930 in FY2023 (unchanged), $85,930 in FY2022 (-72.2%) and $309,408 in FY2021 (+6.3%).
- The fiscal Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2015.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for ten consecutive quarters, with an average decline of 40.6% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 19.7% in fiscal Q3 2021, against a decline of 72.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23,990 (Q1 2026), $25,560 (Q4 2025) and $36,620 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 1.42 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 565.11 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 260.87 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 460.82 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 644.60 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 527.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 204.97 Mn |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | 23,335.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.69 Bn |
| Dec 31, 2025 | 23,335.00 |
| Sep 30, 2025 | 23,990.00 |
| Jun 30, 2025 | 25,560.00 |
| Mar 31, 2025 | 36,620.00 |
| Dec 31, 2024 | 41,399.00 |
| Sep 30, 2024 | 43,680.00 |
| Jun 30, 2024 | 48,466.00 |
| Mar 31, 2024 | 53,730.00 |
| Dec 31, 2023 | 62,512.00 |
| Sep 30, 2023 | 67,700.00 |
| Jun 30, 2023 | 85,930.00 |
| Mar 31, 2023 | 96,711.00 |
| Dec 31, 2022 | 111,042.00 |
| Sep 30, 2022 | 138,642.00 |
| Jun 30, 2022 | 85,930.00 |
| Mar 31, 2022 | 217,100.00 |
| Dec 31, 2021 | 249,393.00 |
| Sep 30, 2021 | 276,191.00 |
| Jun 30, 2021 | 309,408.00 |
Datasea Intelligent Technology Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();