Datasea Intelligent Technology (DTSS) EBITDA (2015 - 2025)
Datasea Intelligent Technology's EBITDA was $136,410 in fiscal Q2 2026 (quarter ended Dec 31, 2025), compared with -$928,246 a year earlier and down 22.6% from the prior quarter.
Datasea Intelligent Technology (DTSS) EBITDA (2015 - 2025) Analysis & Trends
On a trailing twelve-month basis, Datasea Intelligent Technology's EBITDA was -$829,752 through Dec 31, 2025; for FY2025 (ended Jun 30, 2025), it was -$4.02 million.
- In earlier fiscal years, EBITDA was -$11.63 million in FY2024, -$7.48 million in FY2023, -$6.66 million in FY2022 and -$4.66 million in FY2021.
- Quarterly EBITDA has moved between -$5.29 million (fiscal Q4 2024) and $248,220 (fiscal Q4 2025) over five years.
- Per Business Quant data, DTSS's EBITDA in the three fiscal quarters before Q2 2026 was $176,128 (Q1 2026), $248,220 (Q4 2025) and -$1.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.21 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 624.64 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 412.93 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 253.61 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 285.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 136,410.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 136,410.00 |
| Sep 30, 2025 | 176,128.00 |
| Jun 30, 2025 | 248,220.00 |
| Mar 31, 2025 | -1.39 Mn |
| Dec 31, 2024 | -928,246.00 |
| Sep 30, 2024 | -1.94 Mn |
| Jun 30, 2024 | -5.29 Mn |
| Mar 31, 2024 | -3.97 Mn |
| Dec 31, 2023 | -1.65 Mn |
| Sep 30, 2023 | -719,903.00 |
| Jun 30, 2023 | -5.02 Mn |
| Mar 31, 2023 | -708,093.00 |
| Dec 31, 2022 | -847,518.00 |
| Sep 30, 2022 | -905,938.00 |
| Jun 30, 2022 | -2.40 Mn |
| Mar 31, 2022 | -1.08 Mn |
| Dec 31, 2021 | -1.12 Mn |
| Sep 30, 2021 | -1.48 Mn |
| Jun 30, 2021 | -1.65 Mn |
| Mar 31, 2021 | -1.22 Mn |
Datasea Intelligent Technology EBITDA 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=ebitda&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();