HPC Systems

HPC Systems R&D per Employee

The R&D Spending per Employee of HPC Systems (6597.T) as of Oct 10, 2026 is 305,394.96 JPY. In the previous year, R&D Spending per Employee was 224,823.53 JPY — a change of 35.84% (higher).

R&D per Employee

305,394.96JPY

YoY

35.84%

Last updated:

R&D Spending per Employee of HPC Systems is 2025 305,394.96 JPY. R&D Spending per Employee of HPC Systems was 2024 224,823.53 JPY. It decreases by 35.84% higher compared to the previous year.

The HPC Systems R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2018
108,327.73 JPY
Jan 1, 2019
117,647.06 JPY
Jan 1, 2020
92,436.97 JPY
Jan 1, 2021
139,521.01 JPY
Jan 1, 2022
221,638.66 JPY
Jan 1, 2023
146,294.12 JPY
Jan 1, 2024
224,823.53 JPY
Jan 1, 2025
305,394.96 JPY
The HPC Systems R&D per Employee history
YEARR&D per EmployeeYoY
305,394.96JPY+35.84%
224,823.53JPY+53.68%
146,294.12JPY-33.99%
221,638.66JPY+58.86%
139,521.01JPY+50.94%
92,436.97JPY-21.43%
117,647.06JPY+8.60%
108,327.73JPY-15.31%
127,915.97JPY—
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HPC Systems Stock analysis

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

Frequently Asked Questions about HPC Systems stock

R&D Spending per Employee of HPC Systems is 305,394.96 JPY in 2025.

R&D Spending per Employee of HPC Systems changed from 224,823.53 JPY to 305,394.96 JPY, representing a 35.84% change. The value is higher than the previous year.

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

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