Datasea Intelligent Technology (DTSS) Inventory (2016 - 2025)
Datasea Intelligent Technology's Inventory was $151,513 in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 52.6% from $319,932 a year earlier and down 24.4% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Inventory (2016 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Inventory at Datasea Intelligent Technology came in at $206,610, up 34.5% from FY2024.
- Inventory shows a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In earlier fiscal years, Inventory was $153,583 in FY2024 (-36.4%), $241,380 in FY2023 (+14.2%), $211,353 in FY2022 (+8.8%) and $194,264 in FY2021 (+84.6%).
- The fiscal Q2 2026 figure marks the lowest quarterly Inventory since fiscal Q1 2021.
- Compared with a year earlier, Inventory was higher in three of the last eight quarters, with growth averaging 5.6%.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2021 (growth of 84.6%); the worst was fiscal Q2 2026 (a decline of 52.6%).
- Per Business Quant data, DTSS's Inventory in the three fiscal quarters before Q2 2026 was $200,534 (Q1 2026), $206,610 (Q4 2025) and $316,135 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 13.89 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 981.80 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 5.94 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.07 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 6.02 Bn |
| 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 | 151,513.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 151,513.00 |
| Sep 30, 2025 | 200,534.00 |
| Jun 30, 2025 | 206,610.00 |
| Mar 31, 2025 | 316,135.00 |
| Dec 31, 2024 | 319,932.00 |
| Sep 30, 2024 | 208,062.00 |
| Jun 30, 2024 | 153,583.00 |
| Mar 31, 2024 | 184,137.00 |
| Dec 31, 2023 | 185,806.00 |
| Sep 30, 2023 | 242,789.00 |
| Jun 30, 2023 | 241,380.00 |
| Mar 31, 2023 | 251,422.00 |
| Dec 31, 2022 | 253,473.00 |
| Sep 30, 2022 | 194,885.00 |
| Jun 30, 2022 | 211,353.00 |
| Mar 31, 2022 | 247,378.00 |
| Dec 31, 2021 | 210,808.00 |
| Sep 30, 2021 | 204,663.00 |
| Jun 30, 2021 | 194,264.00 |
| Mar 31, 2021 | 254,960.00 |
API Access
Datasea Intelligent Technology Inventory 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=inventory&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();