Datasea Intelligent Technology (DTSS) Share-based Compensation (2022 - 2025)
Datasea Intelligent Technology's Share-based Compensation came in at $965,017 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 431.7% from $181,500 a year earlier and up 284.3% from the prior quarter.
Datasea Intelligent Technology (DTSS) Share-based Compensation (2022 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Datasea Intelligent Technology reported Share-based Compensation of $2.55 million, down 64.9% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $1.89 million, down 72.0% from FY2024.
- Share-based Compensation carries a three-year compound annual growth rate of 43.4% (FY2022 to FY2025).
- Going back by fiscal year, Share-based Compensation was $6.75 million in FY2024 (+54.1%), $4.38 million in FY2023 (+582.1%) and $642,000 in FY2022.
- The five-year range for quarterly Share-based Compensation is $20,100 (fiscal Q1 2024) to $4.05 million (fiscal Q4 2023).
- Year-over-year, Share-based Compensation increased in two of the last six quarters, with growth averaging 160.2%.
- The fastest year-over-year change in Share-based Compensation over five years came in fiscal Q2 2025 (growth of 721.2%), and the weakest in fiscal Q4 2025 (a decline of 94.1%).
- Business Quant data shows DTSS's Share-based Compensation at $251,107 (Q1 2026), $229,030 (Q4 2025) and $1.11 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Stock Comp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 252.87 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 53.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 17.88 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.71 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 12.82 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 12.97 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.01 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 46.40 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 965,017.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 965,017.00 |
| Sep 30, 2025 | 251,107.00 |
| Jun 30, 2025 | 229,030.00 |
| Mar 31, 2025 | 1.11 Mn |
| Dec 31, 2024 | 181,500.00 |
| Sep 30, 2024 | 375,000.00 |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | 22,103.00 |
| Sep 30, 2023 | 20,100.00 |
| Jun 30, 2023 | 4.05 Mn |
| Mar 31, 2023 | 96,000.00 |
| Dec 31, 2022 | 117,000.00 |
| Sep 30, 2022 | 116,250.00 |
Datasea Intelligent Technology Share-based Compensation 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=share-based-compensation&ticker=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "share-based-compensation", "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=share-based-compensation&ticker=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();