GoDaddy Stock

GoDaddy R&D per Employee

The R&D Spending per Employee of GoDaddy (GDDY) as of Aug 6, 2026 is 127,095.60 USD. In the previous year, R&D Spending per Employee was 123,002.57 USD — a change of 3.33% (higher).

R&D per Employee

127,095.60USD

YoY

3.33%

Last updated:

R&D Spending per Employee of GoDaddy is 2026 127,095.60 USD. R&D Spending per Employee of GoDaddy was 2025 123,002.57 USD. It decreases by 3.33% higher compared to the previous year.
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GoDaddy Stock analysis

What does GoDaddy do? GoDaddy Inc is an American company specializing in web hosting, domain registration, and online marketing. It was founded in 1997 by Bob Parsons in Baltimore, USA, and is currently headquartered in Scottsdale, Arizona. The company quickly became a leading provider in the web hosting and domain registration market. Its business model is focused on providing tools and services for small business owners and entrepreneurs to have an online presence. GoDaddy offers a wide range of products and services, including hosting, domain registration, web design, e-commerce, and online marketing. It serves over 20 million customers worldwide. GoDaddy is one of the most popular companies on Eulerpool.

Frequently Asked Questions about GoDaddy stock

R&D Spending per Employee of GoDaddy is 127,095.60 USD in 2026.

R&D Spending per Employee of GoDaddy changed from 123,002.57 USD to 127,095.60 USD, representing a 3.33% change. The value is higher than the previous year.

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

Access this data via the Eulerpool API

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