Metals X

Metals X R&D per Employee

The R&D Spending per Employee of Metals X (MLX.AX) as of Oct 5, 2026 is 14,068.09 AUD. In the previous year, R&D Spending per Employee was 247.75 AUD — a change of 5,578.31% (higher).

R&D per Employee

14,068.09AUD

YoY

5,578.31%

Last updated:

R&D Spending per Employee of Metals X is 2026 14,068.09 AUD. R&D Spending per Employee of Metals X was 2025 247.75 AUD. It decreases by 5,578.31% higher compared to the previous year.

The Metals X R&D per Employee history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

R&D per Employee
Date
R&D per Employee
Jan 1, 2014
13,085.01 AUD
Jan 1, 2015
4,248.82 AUD
Jan 1, 2016
2,663.17 AUD
Jan 1, 2017
247.75 AUD
Jan 1, 2018
14,068.09 AUD
The Metals X R&D per Employee history
YEARR&D per EmployeeYoY
14,068.09AUD+5,578.31%
247.75AUD-90.70%
2,663.17AUD-37.32%
4,248.82AUD-67.53%
13,085.01AUD—
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Metals X Stock analysis

What does Metals X do? Metals X Ltd is an Australian mining company that focuses on the exploration, development, and production of precious and base metals. It is listed on the Australian Securities Exchange (ASX) and is headquartered in Perth, Western Australia. Metals X is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Metals X stock

R&D Spending per Employee of Metals X is 14,068.09 AUD in 2026.

R&D Spending per Employee of Metals X changed from 247.75 AUD to 14,068.09 AUD, representing a 5,578.31% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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