GEM Co

GEM Co R&D per Employee

The R&D Spending per Employee of GEM Co (002340.SZ) as of Oct 10, 2026 is 116,255.66 CNY. In the previous year, R&D Spending per Employee was 106,171.33 CNY — a change of 9.50% (higher).

R&D per Employee

116,255.66CNY

YoY

9.50%

Last updated:

R&D Spending per Employee of GEM Co is 2025 116,255.66 CNY. R&D Spending per Employee of GEM Co was 2024 106,171.33 CNY. It decreases by 9.50% higher compared to the previous year.

The GEM Co R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
40,585.98 CNY
Jan 1, 2019
44,696.50 CNY
Jan 1, 2020
47,110.52 CNY
Jan 1, 2021
77,615.10 CNY
Jan 1, 2022
109,668.37 CNY
Jan 1, 2023
115,970.25 CNY
Jan 1, 2024
106,171.33 CNY
Jan 1, 2025
116,255.66 CNY
The GEM Co R&D per Employee history
YEARR&D per EmployeeYoY
116,255.66CNY+9.50%
106,171.33CNY-8.45%
115,970.25CNY+5.75%
109,668.37CNY+41.30%
77,615.10CNY+64.75%
47,110.52CNY+5.40%
44,696.50CNY+10.13%
40,585.98CNY+41.88%
28,605.47CNY+54.45%
18,521.43CNY+122.47%
8,325.47CNY+12.22%
7,418.74CNY—
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GEM Co Stock analysis

What does GEM Co do? GEM Co is one of the most popular companies on Eulerpool.

Frequently Asked Questions about GEM Co stock

R&D Spending per Employee of GEM Co is 116,255.66 CNY in 2025.

R&D Spending per Employee of GEM Co changed from 106,171.33 CNY to 116,255.66 CNY, representing a 9.50% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of R&D Spending per Employee GEM Co 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 GEM Co historically and in real time.

Access this data via the Eulerpool API

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