Zaoh Co

Zaoh Co R&D per Employee

The R&D Spending per Employee of Zaoh Co (9986.T) as of Oct 11, 2026 is 379,305.83 JPY. In the previous year, R&D Spending per Employee was 238,985.44 JPY — a change of 58.72% (higher).

R&D per Employee

379,305.83JPY

YoY

58.72%

Last updated:

R&D Spending per Employee of Zaoh Co is 2025 379,305.83 JPY. R&D Spending per Employee of Zaoh Co was 2024 238,985.44 JPY. It decreases by 58.72% higher compared to the previous year.

The Zaoh 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
247,728.16 JPY
Jan 1, 2019
247,402.91 JPY
Jan 1, 2020
211,927.18 JPY
Jan 1, 2021
165,733.01 JPY
Jan 1, 2022
197,815.53 JPY
Jan 1, 2023
234,713.59 JPY
Jan 1, 2024
238,985.44 JPY
Jan 1, 2025
379,305.83 JPY
The Zaoh Co R&D per Employee history
YEARR&D per EmployeeYoY
379,305.83JPY+58.72%
238,985.44JPY+1.82%
234,713.59JPY+18.65%
197,815.53JPY+19.36%
165,733.01JPY-21.80%
211,927.18JPY-14.34%
247,402.91JPY-0.13%
247,728.16JPY-10.58%
277,048.54JPY+5.32%
263,048.54JPY-4.01%
274,029.13JPY-2.12%
279,956.31JPY—
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Zaoh Co Stock analysis

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

Frequently Asked Questions about Zaoh Co stock

R&D Spending per Employee of Zaoh Co is 379,305.83 JPY in 2025.

R&D Spending per Employee of Zaoh Co changed from 238,985.44 JPY to 379,305.83 JPY, representing a 58.72% change. The value is higher than the previous year.

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

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