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NVIDIA (BUE:NVDA) Institutional Ownership

: 0.01% (As of Today)
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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 0.01%.

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%.

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 0.00%.


NVIDIA Institutional Ownership Historical Data

The historical data trend for NVIDIA's Institutional 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 Historical Data

The historical data trend for NVIDIA can be seen below:

2023-06-30 2023-07-31 2023-08-31 2023-09-30 2023-10-31 2023-11-30 2023-12-31 2024-01-31 2024-02-29 2024-03-31
Institutional Ownership 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01

NVIDIA Institutional Ownership Calculation

The percentage of shares that are owned by institutions out of the total shares outstanding.


NVIDIA (BUE: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.