Alconix

Alconix R&D per Employee

The R&D Spending per Employee of Alconix (3036.T) as of Oct 14, 2026 is 106,122.45 JPY. In the previous year, R&D Spending per Employee was 109,262.17 JPY — a change of -2.87% (lower).

R&D per Employee

106,122.45JPY

YoY

-2.87%

Last updated:

R&D Spending per Employee of Alconix is 2024 106,122.45 JPY. R&D Spending per Employee of Alconix was 2023 109,262.17 JPY. It decreases by -2.87% lower compared to the previous year.

The Alconix R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2017
41,758.24 JPY
Jan 1, 2018
47,723.70 JPY
Jan 1, 2019
33,908.95 JPY
Jan 1, 2020
90,737.83 JPY
Jan 1, 2021
88,854.00 JPY
Jan 1, 2022
80,062.79 JPY
Jan 1, 2023
109,262.17 JPY
Jan 1, 2024
106,122.45 JPY
The Alconix R&D per Employee history
YEARR&D per EmployeeYoY
106,122.45JPY-2.87%
109,262.17JPY+36.47%
80,062.79JPY-9.89%
88,854.00JPY-2.08%
90,737.83JPY+167.59%
33,908.95JPY-28.95%
47,723.70JPY+14.29%
41,758.24JPY+2,560.00%
1,569.86JPY+25.00%
1,255.89JPY+33.33%
941.92JPY—
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Alconix Stock analysis

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

Frequently Asked Questions about Alconix stock

R&D Spending per Employee of Alconix is 106,122.45 JPY in 2024.

R&D Spending per Employee of Alconix changed from 109,262.17 JPY to 106,122.45 JPY, representing a -2.87% change. The value is lower than the previous year.

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

Access this data via the Eulerpool API

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