Datasea Intelligent Technology (DTSS) Cash & Equivalents (2015 - 2026)
Datasea Intelligent Technology (DTSS) posted Cash & Equivalents of $671,785 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 150.6% from $268,101 a year earlier but down 9.9% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Cash & Equivalents came in at $620,807, up 242.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's Cash & Equivalents was $181,262 in FY2024 (+818.8%), $19,728 in FY2023 (-88.0%), $164,217 in FY2022 (+230.6%) and $49,676 in FY2021 (-97.0%).
- Quarterly Cash & Equivalents has run from a low of $19,728 in fiscal Q4 2023 to a high of $5.81 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last seven quarters, with growth averaging 164.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q2 2024, with growth of 910.7%; the weakest was fiscal Q1 2023, with a decline of 98.4%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $745,264 (Q1 2026), $620,807 (Q4 2025) and $866,737 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn | 671,785.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 431.25 Bn |
| Dec 31, 2025 | 671,785.00 |
| Sep 30, 2025 | 745,264.00 |
| Jun 30, 2025 | 620,807.00 |
| Mar 31, 2025 | 866,737.00 |
| Dec 31, 2024 | 268,101.00 |
| Sep 30, 2024 | 937,606.00 |
| Jun 30, 2024 | 181,262.00 |
| Mar 31, 2024 | 52,529.00 |
| Dec 31, 2023 | 437,716.00 |
| Sep 30, 2023 | 1.22 Mn |
| Jun 30, 2023 | 19,728.00 |
| Mar 31, 2023 | 43,155.00 |
| Dec 31, 2022 | 43,309.00 |
| Sep 30, 2022 | 93,074.00 |
| Jun 30, 2022 | 164,217.00 |
| Mar 31, 2022 | 1.63 Mn |
| Dec 31, 2021 | 2.24 Mn |
| Sep 30, 2021 | 5.81 Mn |
| Jun 30, 2021 | 49,676.00 |
API Access
Datasea Intelligent Technology Cash & Equivalents 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=cash-and-equivalents&ticker=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();