Datasea Intelligent Technology (DTSS) Invested Capital (2015 - 2025)
Datasea Intelligent Technology's Invested Capital was $10.88 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 149.8% from $4.36 million a year earlier and up 23.7% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Invested Capital (2015 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Invested Capital at Datasea Intelligent Technology came in at $5.33 million, up 389.7% from FY2024.
- Invested Capital shows a four-year compound annual growth rate of 12.8% (FY2021 to FY2025).
- In earlier fiscal years, Invested Capital was $1.09 million in FY2024, -$1.02 million in FY2023, $2.64 million in FY2022 (-19.9%) and $3.29 million in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Invested Capital in data going back to fiscal Q4 2015.
- Compared with a year earlier, Invested Capital has increased for four straight quarters, with growth averaging 131.7% over the last six quarters.
- The best year-over-year quarter for Invested Capital over five years was fiscal Q2 2024 (growth of 566.9%); the worst was fiscal Q2 2023 (a decline of 88.8%).
- Per Business Quant data, DTSS's Invested Capital in the three fiscal quarters before Q2 2026 was $8.79 million (Q1 2026), $5.33 million (Q4 2025) and $5.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Invested Cap. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 11.92 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 16.02 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 14.82 Bn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 8.26 Bn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 9.25 Bn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 8.26 Bn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 8.08 Bn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 3.54 Bn |
| 10 | Datasea Intelligent Technology | 8.42 Mn | 5.51 Mn | 1.19 Mn | 10.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.88 Mn |
| Sep 30, 2025 | 8.79 Mn |
| Jun 30, 2025 | 5.33 Mn |
| Mar 31, 2025 | 5.64 Mn |
| Dec 31, 2024 | 4.36 Mn |
| Sep 30, 2024 | 5.25 Mn |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 5.26 Mn |
| Sep 30, 2023 | 6.93 Mn |
| Jun 30, 2023 | -1.02 Mn |
| Mar 31, 2023 | -407,262.00 |
| Dec 31, 2022 | 788,848.00 |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 2.64 Mn |
| Dec 31, 2021 | 7.06 Mn |
| Sep 30, 2021 | 9.19 Mn |
| Jun 30, 2021 | 3.29 Mn |
| Mar 31, 2021 | 3.39 Mn |
| Jun 30, 2019 | 5.85 Mn |
API Access
Datasea Intelligent Technology Invested Capital 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=invested-capital&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "invested-capital", "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=invested-capital&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();