Tomoe

Tomoe R&D per Employee

The R&D Spending per Employee of Tomoe (1921.T) as of Oct 9, 2026 is 180,871.11 JPY. In the previous year, R&D Spending per Employee was 148,744.44 JPY — a change of 21.60% (higher).

R&D per Employee

180,871.11JPY

YoY

21.60%

Last updated:

R&D Spending per Employee of Tomoe is 2025 180,871.11 JPY. R&D Spending per Employee of Tomoe was 2024 148,744.44 JPY. It decreases by 21.60% higher compared to the previous year.

The Tomoe R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
148,311.11 JPY
Jan 1, 2019
151,675.56 JPY
Jan 1, 2020
133,875.56 JPY
Jan 1, 2021
194,164.44 JPY
Jan 1, 2022
181,460.00 JPY
Jan 1, 2023
159,791.11 JPY
Jan 1, 2024
148,744.44 JPY
Jan 1, 2025
180,871.11 JPY
The Tomoe R&D per Employee history
YEARR&D per EmployeeYoY
180,871.11JPY+21.60%
148,744.44JPY-6.91%
159,791.11JPY-11.94%
181,460.00JPY-6.54%
194,164.44JPY+45.03%
133,875.56JPY-11.74%
151,675.56JPY+2.27%
148,311.11JPY+58.47%
93,591.11JPY-6.05%
99,613.33JPY-10.89%
111,788.89JPY-24.69%
148,433.33JPY—
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Tomoe Stock analysis

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

Frequently Asked Questions about Tomoe stock

R&D Spending per Employee of Tomoe is 180,871.11 JPY in 2025.

R&D Spending per Employee of Tomoe changed from 148,744.44 JPY to 180,871.11 JPY, representing a 21.60% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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