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NVIDIA (LIM:NVDA) Insider Ownership

: 0.00 % (As of Today)
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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 46.85%.

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 96.07%.


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.

* Premium members only.

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Insider Ownership
Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - - -

NVIDIA Quarterly Data
Apr19 Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24
Insider Ownership Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - - -

NVIDIA Insider Ownership Calculation

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


NVIDIA (LIM:NVDA) Business Description

Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.