Qualstar

Qualstar R&D per Employee

The R&D Spending per Employee of Qualstar (QBAK) as of Oct 10, 2026 is 26,333.33 USD. In the previous year, R&D Spending per Employee was 26,200.00 USD — a change of 0.51% (higher).

R&D per Employee

26,333.33USD

YoY

0.51%

Last updated:

R&D Spending per Employee of Qualstar is 2024 26,333.33 USD. R&D Spending per Employee of Qualstar was 2023 26,200.00 USD. It decreases by 0.51% higher compared to the previous year.

The Qualstar R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2017
35,666.67 USD
Jan 1, 2018
33,466.67 USD
Jan 1, 2019
39,200.00 USD
Jan 1, 2020
33,400.00 USD
Jan 1, 2021
30,066.67 USD
Jan 1, 2022
22,400.00 USD
Jan 1, 2023
26,200.00 USD
Jan 1, 2024
26,333.33 USD
The Qualstar R&D per Employee history
YEARR&D per EmployeeYoY
26,333.33USD+0.51%
26,200.00USD+16.96%
22,400.00USD-25.50%
30,066.67USD-9.98%
33,400.00USD-14.80%
39,200.00USD+17.13%
33,466.67USD-6.17%
35,666.67USD-45.96%
66,000.00USD-27.21%
90,666.67USD-44.74%
164,066.67USD—
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Qualstar Stock analysis

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

Frequently Asked Questions about Qualstar stock

R&D Spending per Employee of Qualstar is 26,333.33 USD in 2024.

R&D Spending per Employee of Qualstar changed from 26,200.00 USD to 26,333.33 USD, representing a 0.51% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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