Daytona

Daytona R&D per Employee

The R&D Spending per Employee of Daytona (7228.T) as of Nov 1, 2026 is 360,865.67 JPY. In the previous year, R&D Spending per Employee was 368,293.53 JPY — a change of -2.02% (lower).

R&D per Employee

360,865.67JPY

YoY

-2.02%

Last updated:

R&D Spending per Employee of Daytona is 2025 360,865.67 JPY. R&D Spending per Employee of Daytona was 2024 368,293.53 JPY. It decreases by -2.02% lower compared to the previous year.

The Daytona R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
214,706.47 JPY
Jan 1, 2019
219,348.26 JPY
Jan 1, 2020
271,527.36 JPY
Jan 1, 2021
271,477.61 JPY
Jan 1, 2022
337,134.33 JPY
Jan 1, 2023
261,925.37 JPY
Jan 1, 2024
368,293.53 JPY
Jan 1, 2025
360,865.67 JPY
The Daytona R&D per Employee history
YEARR&D per EmployeeYoY
360,865.67JPY-2.02%
368,293.53JPY+40.61%
261,925.37JPY-22.31%
337,134.33JPY+24.18%
271,477.61JPY-0.02%
271,527.36JPY+23.79%
219,348.26JPY+2.16%
214,706.47JPY-9.82%
238,084.58JPY+83.42%
129,805.97JPY-31.34%
189,054.73JPY+18.75%
159,203.98JPY—

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Daytona Stock analysis

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

Frequently Asked Questions about Daytona stock

R&D Spending per Employee of Daytona is 360,865.67 JPY in 2025.

R&D Spending per Employee of Daytona changed from 368,293.53 JPY to 360,865.67 JPY, representing a -2.02% change. The value is lower than the previous year.

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

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