Technoflex

Technoflex R&D per Employee

The R&D Spending per Employee of Technoflex (3449.T) as of Oct 12, 2026 is 99,517.90 JPY. In the previous year, R&D Spending per Employee was 83,874.70 JPY — a change of 18.65% (higher).

R&D per Employee

99,517.90JPY

YoY

18.65%

Last updated:

R&D Spending per Employee of Technoflex is 2025 99,517.90 JPY. R&D Spending per Employee of Technoflex was 2024 83,874.70 JPY. It decreases by 18.65% higher compared to the previous year.

The Technoflex R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
224,325.78 JPY
Jan 1, 2019
261,822.20 JPY
Jan 1, 2020
169,712.41 JPY
Jan 1, 2021
143,526.25 JPY
Jan 1, 2022
107,984.49 JPY
Jan 1, 2023
85,460.62 JPY
Jan 1, 2024
83,874.70 JPY
Jan 1, 2025
99,517.90 JPY
The Technoflex R&D per Employee history
YEARR&D per EmployeeYoY
99,517.90JPY+18.65%
83,874.70JPY-1.86%
85,460.62JPY-20.86%
107,984.49JPY-24.76%
143,526.25JPY-15.43%
169,712.41JPY-35.18%
261,822.20JPY+16.72%
224,325.78JPY+30.25%
172,226.73JPY—
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Technoflex Stock analysis

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

Frequently Asked Questions about Technoflex stock

R&D Spending per Employee of Technoflex is 99,517.90 JPY in 2025.

R&D Spending per Employee of Technoflex changed from 83,874.70 JPY to 99,517.90 JPY, representing a 18.65% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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