Knosys

Knosys R&D per Employee

The R&D Spending per Employee of Knosys (KNO.AX) as of Oct 10, 2026 is 6,666.55 AUD. In the previous year, R&D Spending per Employee was 1,682.30 AUD — a change of 296.28% (higher).

R&D per Employee

6,666.55AUD

YoY

296.28%

Last updated:

R&D Spending per Employee of Knosys is 2026 6,666.55 AUD. R&D Spending per Employee of Knosys was 2025 1,682.30 AUD. It decreases by 296.28% higher compared to the previous year.

The Knosys R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2019
1,436.75 AUD
Jan 1, 2020
3,850.60 AUD
Jan 1, 2021
1,523.98 AUD
Jan 1, 2022
5,704.95 AUD
Jan 1, 2023
12,487.53 AUD
Jan 1, 2024
1,828.98 AUD
Jan 1, 2025
1,682.30 AUD
Jan 1, 2026
6,666.55 AUD
The Knosys R&D per Employee history
YEARR&D per EmployeeYoY
6,666.55AUD+296.28%
1,682.30AUD-8.02%
1,828.98AUD-85.35%
12,487.53AUD+118.89%
5,704.95AUD+274.35%
1,523.98AUD-60.42%
3,850.60AUD+168.01%
1,436.75AUD-85.09%
9,633.43AUD0.00%
9,633.43AUD+178.48%
3,459.25AUD-66.66%
10,375.00AUD+124.63%
4,618.75AUD—
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Knosys Stock analysis

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

Frequently Asked Questions about Knosys stock

R&D Spending per Employee of Knosys is 6,666.55 AUD in 2026.

R&D Spending per Employee of Knosys changed from 1,682.30 AUD to 6,666.55 AUD, representing a 296.28% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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