Datasea Intelligent Technology (DTSS) Retained Earnings (2015 - 2025)
Datasea Intelligent Technology's Retained Earnings was -$45.27 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), compared with -$42.54 million a year earlier.
Datasea Intelligent Technology (DTSS) Retained Earnings (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Retained Earnings at Datasea Intelligent Technology came in at -$44.53 million.
- In earlier fiscal years, Retained Earnings was -$39.44 million in FY2024, -$28.06 million in FY2023, -$18.58 million in FY2022 and -$12.06 million in FY2021.
- The fiscal Q2 2026 figure marks the lowest quarterly Retained Earnings in data going back to fiscal Q4 2015.
- Per Business Quant data, DTSS's Retained Earnings in the three fiscal quarters before Q2 2026 was -$44.73 million (Q1 2026), -$44.53 million (Q4 2025) and -$44.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 4.02 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 5.34 Bn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 7.06 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 3.51 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 1.75 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Datasea Intelligent Technology | 8.22 Mn | 5.30 Mn | 1.19 Mn | -45.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -45.27 Mn |
| Sep 30, 2025 | -44.73 Mn |
| Jun 30, 2025 | -44.53 Mn |
| Mar 31, 2025 | -44.32 Mn |
| Dec 31, 2024 | -42.54 Mn |
| Sep 30, 2024 | -41.40 Mn |
| Jun 30, 2024 | -39.44 Mn |
| Mar 31, 2024 | -34.06 Mn |
| Dec 31, 2023 | -29.92 Mn |
| Sep 30, 2023 | -28.09 Mn |
| Jun 30, 2023 | -28.06 Mn |
| Mar 31, 2023 | -22.51 Mn |
| Dec 31, 2022 | -21.21 Mn |
| Sep 30, 2022 | -19.92 Mn |
| Jun 30, 2022 | -18.58 Mn |
| Mar 31, 2022 | -16.46 Mn |
| Dec 31, 2021 | -15.18 Mn |
| Sep 30, 2021 | -13.50 Mn |
| Jun 30, 2021 | -12.06 Mn |
| Mar 31, 2021 | -10.46 Mn |
Datasea Intelligent Technology Retained Earnings 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=retained-earnings&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();