Daisan Co

Daisan Co R&D per Employee

The R&D Spending per Employee of Daisan Co (4750.T) as of Oct 8, 2026 is 59,377.93 JPY. In the previous year, R&D Spending per Employee was 49,242.47 JPY — a change of 20.58% (higher).

R&D per Employee

59,377.93JPY

YoY

20.58%

Last updated:

R&D Spending per Employee of Daisan Co is 2025 59,377.93 JPY. R&D Spending per Employee of Daisan Co was 2024 49,242.47 JPY. It decreases by 20.58% higher compared to the previous year.

The Daisan 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
70,535.12 JPY
Jan 1, 2019
106,454.85 JPY
Jan 1, 2020
90,190.64 JPY
Jan 1, 2021
74,406.35 JPY
Jan 1, 2022
68,816.05 JPY
Jan 1, 2023
97,295.99 JPY
Jan 1, 2024
49,242.47 JPY
Jan 1, 2025
59,377.93 JPY
The Daisan Co R&D per Employee history
YEARR&D per EmployeeYoY
59,377.93JPY+20.58%
49,242.47JPY-49.39%
97,295.99JPY+41.39%
68,816.05JPY-7.51%
74,406.35JPY-17.50%
90,190.64JPY-15.28%
106,454.85JPY+50.92%
70,535.12JPY+5.33%
66,968.23JPY+20.04%
55,785.95JPY-5.53%
59,050.17JPY-5.22%
62,301.00JPY—
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Daisan Co Stock analysis

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

Frequently Asked Questions about Daisan Co stock

R&D Spending per Employee of Daisan Co is 59,377.93 JPY in 2025.

R&D Spending per Employee of Daisan Co changed from 49,242.47 JPY to 59,377.93 JPY, representing a 20.58% change. The value is higher than the previous year.

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

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