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NVIDIA (LIM:NVDA) Valuation Rank


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What is NVIDIA Valuation Rank?

The Valuation Rank measures the current valuation of a business relative to other companies in the same industry and its own historical valuation. The companies are split in equal numbers and then ranked from 1 to 10, with 10 as the most undervalued and 1 as the most overvalued.

  1. Three factors:
    • Absolute valuation (medpsvalue) relative to current stock price, rank among all companies
    • Historical valuation over the past 10 years. Rank pe, ps, pocf, ev2ebit over their own historical values
    • Industry relative valuation
  2. Companies without enough data is not ranked
  3. Companies with negative earnings are ranked lower

These three factors are used to calculate the value score for every eligible company, with values from 1 to 10. The final ranked companies are split in equal numbers and ranked from 1 to 10, with 10 as the most undervalued, and 1 as the most overvalued. The numbers of companies in each rank are the same.

NVIDIA Valuation Rank Related Terms

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NVIDIA (LIM:NVDA) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » NVIDIA Corp (LIM:NVDA) » Definitions » Valuation Rank
Comparable Companies
AVGO AMD QCOM TXN INTC MU ADI NXPI MRVL MCHP TPE:2330 XKRX:000660 TPE:2454 XTER:IFX XPAR:STMPA MPWR ON TSE:6723 GFS HKSE:00981
Traded in Other Exchanges
NVDA:USA NVDA:Mexico NVDA_KZ:Kazakhstan NVDA:Italy NVDd:UK 0R1I:UK NVD:Germany NVDA:Canada NVDC34:Brazil NVDA:Austria 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.