Dicker Data Stock

Dicker Data Profit per Employee

The Profit per Employee of Dicker Data (DDR.AX) as of Aug 7, 2026 is 176,472.16 AUD. In the previous year, Profit per Employee was 162,255.67 AUD — a change of 8.76% (higher).

Profit per Employee

176,472.16AUD

YoY

8.76%

Last updated:

Profit per Employee of Dicker Data is 2026 176,472.16 AUD. Profit per Employee of Dicker Data was 2025 162,255.67 AUD. It decreases by 8.76% higher compared to the previous year.
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Dicker Data Stock analysis

What does Dicker Data do? Dicker Data Ltd is an Australian company specializing in the distribution of IT products and solutions. Founded in 1978 by David Dicker, the company has grown over time and is now one of the largest IT distributors in Australia. They offer a wide range of products and services, including hardware, software, and cloud solutions. Dicker Data is known for its high customer orientation and commitment to the success of its partners. They have received many awards and recognitions, including being voted the best IT distributor in Australia in 2017. In summary, Dicker Data is a leading IT distributor in Australia with a focus on availability and fast delivery. Dicker Data is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Dicker Data stock

Profit per Employee of Dicker Data is 176,472.16 AUD in 2026.

Profit per Employee of Dicker Data changed from 162,255.67 AUD to 176,472.16 AUD, representing a 8.76% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Profit per Employee Dicker Data since 2006 – with annual values, charts, and detailed analysis.

Profit per employee measures how much net income each employee generates on average. It is a key indicator of workforce efficiency.

Profit 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 Profit per Employee's Dicker Data historically and in real time.

Access this data via the Eulerpool API

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