MLS Co

MLS Co R&D per Employee

The R&D Spending per Employee of MLS Co (002745.SZ) as of Oct 1, 2026 is 28,434.39 CNY. In the previous year, R&D Spending per Employee was 26,384.90 CNY — a change of 7.77% (higher).

R&D per Employee

28,434.39CNY

YoY

7.77%

Last updated:

R&D Spending per Employee of MLS Co is 2026 28,434.39 CNY. R&D Spending per Employee of MLS Co was 2025 26,384.90 CNY. It decreases by 7.77% higher compared to the previous year.

The MLS 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
46,632.05 CNY
Jan 1, 2019
32,410.71 CNY
Jan 1, 2020
30,538.85 CNY
Jan 1, 2021
37,066.94 CNY
Jan 1, 2022
20,021.20 CNY
Jan 1, 2023
25,700.36 CNY
Jan 1, 2024
26,384.90 CNY
Jan 1, 2025
28,434.39 CNY
The MLS Co R&D per Employee history
YEARR&D per EmployeeYoY
28,434.39CNY+7.77%
26,384.90CNY+2.66%
25,700.36CNY+28.37%
20,021.20CNY-45.99%
37,066.94CNY+21.38%
30,538.85CNY-5.78%
32,410.71CNY-30.50%
46,632.05CNY+126.31%
20,605.13CNY+41.40%
14,571.75CNY+43.09%
10,183.56CNY+21.95%
8,350.36CNY—
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MLS Co Stock analysis

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

Frequently Asked Questions about MLS Co stock

R&D Spending per Employee of MLS Co is 28,434.39 CNY in 2026.

R&D Spending per Employee of MLS Co changed from 26,384.90 CNY to 28,434.39 CNY, representing a 7.77% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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