Datasea Intelligent Technology (DTSS) Short term Debt (2018 - 2025)
Datasea Intelligent Technology's Short term Debt was $3.7 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 230.3% from $1.12 million a year earlier and up 38.3% from the prior quarter.
Datasea Intelligent Technology (DTSS) Short term Debt (2018 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Short term Debt at Datasea Intelligent Technology came in at $2.37 million, up 102.9% from FY2024.
- Short term Debt has now increased for three consecutive fiscal years, with a four-year compound annual growth rate of 12.4% (FY2021 to FY2025).
- In earlier fiscal years, Short term Debt was $1.17 million in FY2024 (+96.7%), $594,906 in FY2023 (+625.9%), $81,950 in FY2022 (-94.5%) and $1.49 million in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Short term Debt in data going back to fiscal Q4 2018.
- Compared with a year earlier, Short term Debt has increased for three straight quarters, with growth averaging 190.0% over the last six quarters.
- The best year-over-year quarter for Short term Debt over five years was fiscal Q4 2023 (growth of 625.9%); the worst was fiscal Q4 2022 (a decline of 94.5%).
- Per Business Quant data, DTSS's Short term Debt in the three fiscal quarters before Q2 2026 was $2.67 million (Q1 2026), $2.37 million (Q4 2025) and $1.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.70 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 2.37 Mn |
| Mar 31, 2025 | 1.96 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.17 Mn |
| Dec 31, 2023 | 155,308.00 |
| Sep 30, 2023 | 2.03 Mn |
| Jun 30, 2023 | 594,906.00 |
| Mar 31, 2023 | 1.64 Mn |
| Dec 31, 2022 | 1.59 Mn |
| Sep 30, 2022 | 866,644.00 |
| Jun 30, 2022 | 81,950.00 |
| Sep 30, 2021 | 984,519.00 |
| Jun 30, 2021 | 1.49 Mn |
| Mar 31, 2021 | 741,101.00 |
| Jun 30, 2019 | 86,733.00 |
| Jun 30, 2018 | 27,058.00 |
Datasea Intelligent Technology Short term Debt 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=short-term-debt&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();