Grupo Multi Stock

Grupo Multi R&D per Employee

The R&D Spending per Employee of Grupo Multi (MLAS3.SA) as of Sep 4, 2026 is 18,379.00 BRL. In the previous year, R&D Spending per Employee was 15,460.60 BRL — a change of 18.88% (higher).

R&D per Employee

18,379.00BRL

YoY

18.88%

Last updated:

R&D Spending per Employee of Grupo Multi is 2026 18,379.00 BRL. R&D Spending per Employee of Grupo Multi was 2025 15,460.60 BRL. It decreases by 18.88% higher compared to the previous year.

The Grupo Multi R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
4,866.80 BRL
Jan 1, 2019
4,925.40 BRL
Jan 1, 2020
10,930.60 BRL
Jan 1, 2021
21,060.20 BRL
Jan 1, 2022
16,006.20 BRL
Jan 1, 2023
15,176.80 BRL
Jan 1, 2024
15,460.60 BRL
Jan 1, 2025
18,379.00 BRL
The Grupo Multi R&D per Employee history
YEARR&D per EmployeeYoY
18,379.00BRL+18.88%
15,460.60BRL+1.87%
15,176.80BRL-5.18%
16,006.20BRL-24.00%
21,060.20BRL+92.67%
10,930.60BRL+121.92%
4,925.40BRL+1.20%
4,866.80BRL+33.07%
3,657.40BRL
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Grupo Multi Stock analysis

What does Grupo Multi do? Grupo Multi is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Grupo Multi stock

R&D Spending per Employee of Grupo Multi is 18,379.00 BRL in 2026.

R&D Spending per Employee of Grupo Multi changed from 15,460.60 BRL to 18,379.00 BRL, representing a 18.88% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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