Datasea Intelligent Technology (DTSS) Depreciation and Depletion (2015 - 2025)
Datasea Intelligent Technology (DTSS) posted Depreciation and Depletion of $1,252 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 76.5% from $5,336 a year earlier and down 26.0% from the prior quarter.
Datasea Intelligent Technology (DTSS) Depreciation and Depletion (2015 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Depreciation and Depletion at Datasea Intelligent Technology was $5,765, down 76.7% year-over-year; for FY2025 (ended Jun 30, 2025), it was $13,620, down 57.9% from FY2024.
- Annual Depreciation and Depletion has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -26.9% (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Depreciation and Depletion was $32,373 in FY2024 (-65.4%), $93,594 in FY2023 (-43.0%), $164,145 in FY2022 (+15.5%) and $142,125 in FY2021 (+117.8%).
- Quarterly Depreciation and Depletion has run from a low of -$665.00 in fiscal Q4 2025 to a high of $46,088 in fiscal Q2 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in 1 of the last seven quarters, with an average decline of 45.6%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q3 2021, with growth of 64.8%; the weakest was fiscal Q4 2023, with a decline of 83.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $1,692 (Q1 2026), -$665.00 (Q4 2025) and $3,486 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 27.62 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | - |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | 1,252.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,252.00 |
| Sep 30, 2025 | 1,692.00 |
| Jun 30, 2025 | -665.00 |
| Mar 31, 2025 | 3,486.00 |
| Dec 31, 2024 | 5,336.00 |
| Sep 30, 2024 | 5,463.00 |
| Jun 30, 2024 | 6,775.00 |
| Mar 31, 2024 | 7,134.00 |
| Dec 31, 2023 | 7,802.00 |
| Sep 30, 2023 | 10,662.00 |
| Jun 30, 2023 | 5,970.00 |
| Mar 31, 2023 | 15,955.00 |
| Dec 31, 2022 | 30,808.00 |
| Sep 30, 2022 | 40,861.00 |
| Jun 30, 2022 | 36,298.00 |
| Mar 31, 2022 | 41,506.00 |
| Dec 31, 2021 | 46,088.00 |
| Sep 30, 2021 | 40,253.00 |
| Jun 30, 2021 | 37,284.00 |
| Mar 31, 2021 | 38,819.00 |
Datasea Intelligent Technology Depreciation and Depletion 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=depreciation-and-depletion&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();