Geostr

Geostr R&D per Employee

The R&D Spending per Employee of Geostr (5282.T) as of Oct 11, 2026 is 600,961.62 JPY. In the previous year, R&D Spending per Employee was 503,176.97 JPY — a change of 19.43% (higher).

R&D per Employee

600,961.62JPY

YoY

19.43%

Last updated:

R&D Spending per Employee of Geostr is 2025 600,961.62 JPY. R&D Spending per Employee of Geostr was 2024 503,176.97 JPY. It decreases by 19.43% higher compared to the previous year.

The Geostr R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
500,198.29 JPY
Jan 1, 2019
526,362.47 JPY
Jan 1, 2020
377,034.12 JPY
Jan 1, 2021
461,840.09 JPY
Jan 1, 2022
478,083.16 JPY
Jan 1, 2023
428,223.88 JPY
Jan 1, 2024
503,176.97 JPY
Jan 1, 2025
600,961.62 JPY
The Geostr R&D per Employee history
YEARR&D per EmployeeYoY
600,961.62JPY+19.43%
503,176.97JPY+17.50%
428,223.88JPY-10.43%
478,083.16JPY+3.52%
461,840.09JPY+22.49%
377,034.12JPY-28.37%
526,362.47JPY+5.23%
500,198.29JPY+22.84%
407,200.43JPY+7.73%
377,978.68JPY+43.13%
264,081.02JPY-25.18%
352,940.30JPY—
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Geostr Stock analysis

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

Frequently Asked Questions about Geostr stock

R&D Spending per Employee of Geostr is 600,961.62 JPY in 2025.

R&D Spending per Employee of Geostr changed from 503,176.97 JPY to 600,961.62 JPY, representing a 19.43% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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