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NVIDIA (XTER:NVD) Short Interest


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What is NVIDIA Short Interest?

Short Interest can be expressed as a percentage by dividing the number of shares sold short by the total number of outstanding shares.

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 Interest

For the Semiconductors subindustry, NVIDIA's Short Interest, along with its competitors' market caps and Short Interest 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 Interest Distribution in the Semiconductors Industry

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

* The bar in red indicates where NVIDIA's Short Interest falls into.


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NVIDIA Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » NVIDIA Corp (XTER:NVD) » Definitions » Short Interest
Comparable Companies
AVGO QCOM AMD TXN ADI INTC MU MRVL NXPI MPWR TPE:2330 XKRX:000660 TPE:2454 HKSE:00981 XTER:IFX SHSE:688256 TSE:6723 MCHP SHSE:603501 GFS
Traded in Other Exchanges
NVDA:USA NVDA:Poland NVDA:Peru NVDA:Mexico NVDA_KZ:Kazakhstan 1NVDA:Italy NVDd:UK 0R1I:UK NVDACL:Chile NVDA:Canada NVDC34:Brazil NVD:Bulgaria NVDA:Austria NVDA:Argentina
Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
Website
https://www.nvidia.com
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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