WebRAY Tech Group

WebRAY Tech Group R&D per Employee

The R&D Spending per Employee of WebRAY Tech Group (688651.SS) as of Oct 10, 2026 is 136,817.01 CNY. In the previous year, R&D Spending per Employee was 115,273.64 CNY — a change of 18.69% (higher).

R&D per Employee

136,817.01CNY

YoY

18.69%

Last updated:

R&D Spending per Employee of WebRAY Tech Group is 2025 136,817.01 CNY. R&D Spending per Employee of WebRAY Tech Group was 2024 115,273.64 CNY. It decreases by 18.69% higher compared to the previous year.

The WebRAY Tech Group R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2020
39,818.18 CNY
Jan 1, 2021
62,840.18 CNY
Jan 1, 2022
77,443.76 CNY
Jan 1, 2023
90,400.36 CNY
Jan 1, 2024
115,273.64 CNY
Jan 1, 2025
136,817.01 CNY
The WebRAY Tech Group R&D per Employee history
YEARR&D per EmployeeYoY
136,817.01CNY+18.69%
115,273.64CNY+27.51%
90,400.36CNY+16.73%
77,443.76CNY+23.24%
62,840.18CNY+57.82%
39,818.18CNY—
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WebRAY Tech Group Stock analysis

What does WebRAY Tech Group do? WebRAY Tech Group is one of the most popular companies on Eulerpool.

Frequently Asked Questions about WebRAY Tech Group stock

R&D Spending per Employee of WebRAY Tech Group is 136,817.01 CNY in 2025.

R&D Spending per Employee of WebRAY Tech Group changed from 115,273.64 CNY to 136,817.01 CNY, representing a 18.69% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of R&D Spending per Employee WebRAY Tech Group since 2006 – with annual values, charts, and detailed analysis.

R&D per employee shows the research and development investment allocated per employee. Higher values indicate innovation-focused companies.

R&D Spending per Employee's CNY is a key factor for investors. Changes in this metric can signal improving or deteriorating fundamentals, directly impacting the stock price. On Eulerpool, you can track R&D Spending per Employee's WebRAY Tech Group historically and in real time.

Access this data via the Eulerpool API

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