Datasea Intelligent Technology (DTSS) FCF Margin (2016 - 2025)
Datasea Intelligent Technology (DTSS) posted FCF Margin of 5.09% for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 9.30 percentage points from -4.21% a year earlier but down 1.28 percentage points from the prior quarter.
Datasea Intelligent Technology (DTSS) FCF Margin (2016 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, FCF Margin at Datasea Intelligent Technology was 1.33%, up 6.33 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it was -3.33%, up 23.39 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of +340.81 percentage points (FY2020 to FY2025).
- In prior fiscal years, Datasea Intelligent Technology's FCF Margin was -26.72% in FY2024 (+59.63 pp), -86.35% in FY2023 (-55.96 pp), -30.39% in FY2022 (+2305.42 pp) and -2335.81% in FY2021 (-1991.67 pp).
- Quarterly FCF Margin has run from a low of -6940.53% in fiscal Q3 2021 to a high of 9.76% in fiscal Q2 2024 over five years.
- On a year-over-year basis, FCF Margin has increased in each of the last four quarters, with an average year-over-year change of +97.87 percentage points over the last eight quarters.
- The strongest year-over-year quarter for FCF Margin in the past five years was fiscal Q1 2022, with a gain of 10318.67 percentage points; the weakest was fiscal Q2 2023, with a drop of 735.89 percentage points.
- According to Business Quant data, FCF Margin for the three prior fiscal quarters was 6.37% (Q1 2026), -2.97% (Q4 2025) and -1.93% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 24.81% |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 8.37% |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | -1.70% |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | -1.26% |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 15.08% |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 2.97% |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | -3.71% |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | -3.90% |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | -1.25% |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 5.09% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.09% |
| Sep 30, 2025 | 6.37% |
| Jun 30, 2025 | -2.97% |
| Mar 31, 2025 | -1.93% |
| Dec 31, 2024 | -4.21% |
| Sep 30, 2024 | -3.49% |
| Jun 30, 2024 | -10.29% |
| Mar 31, 2024 | -23.22% |
| Dec 31, 2023 | 9.76% |
| Sep 30, 2023 | -98.02% |
| Jun 30, 2023 | -23.75% |
| Mar 31, 2023 | -664.39% |
| Dec 31, 2022 | -772.61% |
| Sep 30, 2022 | -64.68% |
| Jun 30, 2022 | -119.78% |
| Mar 31, 2022 | -6.02% |
| Dec 31, 2021 | -36.72% |
| Sep 30, 2021 | -209.96% |
| Jun 30, 2021 | -4,168.18% |
| Mar 31, 2021 | -6,940.53% |
Datasea Intelligent Technology FCF Margin 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=fcf-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();