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NVIDIA (XTER:NVD) Insider Ownership : 0.00 % (As of Mar. 26, 2025)


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What is NVIDIA Insider Ownership?

Insider ownership is the percentage of shares that are owned by company insiders relative to the total shares outstanding. As of today, NVIDIA's insider ownership is 0.00%.

Institutional Ownership is the percentage of shares that are owned by institutions out of the total shares outstanding. As of today, NVIDIA's Institutional Ownership is 46.36%.

Float Percentage Of Total Shares Outstanding is the percentage of float shares relative to the total shares outstanding. As of today, NVIDIA's Float Percentage Of Total Shares Outstanding is 95.73%.


NVIDIA Insider Ownership Historical Data

The historical data trend for NVIDIA's Insider Ownership can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

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NVIDIA Insider Ownership Chart

NVIDIA Annual Data
Trend Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25
Insider Ownership
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NVIDIA Quarterly Data
Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25
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NVIDIA Insider Ownership Calculation

The percentage of shares that are owned by company insiders relative to the total shares outstanding.


NVIDIA Business Description

Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
Nvidia Corp is an upfront developer of graphics processing unit and a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. Traditionally, GPU were used to enhanvce experience,now Nvidia offers AI GPUs, and also a software platform, Cuda, used for AI model development and training. The company is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads. such as AI, model training and inference, data analytics, scientific computing, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing.

NVIDIA Headlines

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