NVIDIA (WBO:NVDA) Short Percentage of Float

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What is NVIDIA Short Percentage of Float?

Short Percentage of Float is the percentage of shares shorted compared to the float.

Due to the license agreement change with our data vendor, Short Interest related data is no longer available on GuruFocus website.

Competitive Comparison of NVIDIA's Short Percentage of Float

For the Semiconductors subindustry, NVIDIA's Short Percentage of Float, along with its competitors' market caps and Short Percentage of Float data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

NVIDIA's Short Percentage of Float Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's Short Percentage of Float distribution charts can be found below:

* The bar in red indicates where NVIDIA's Short Percentage of Float falls into.

NVIDIA (WBO:NVDA) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » NVIDIA Corp (WBO:NVDA) » Definitions » Short Percentage of Float

Comparable Companies

Traded in Other Exchanges

NVDA:USA NVDA:Peru NVDA:Mexico NVDA_KZ:Kazakhstan NVDA:Italy NVDd:UK 0R1I:UK NVD:Germany NVDA:Canada NVDC34:Brazil NVDA:Argentina

Address

2788 San Tomas Expressway, Santa Clara, CA, USA, 95051

Website

https://www.nvidia.com

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.