NVIDIA's book value per share for the quarter that ended in Jan. 2024 was $17.44.
During the past 12 months, NVIDIA's average Book Value Per Share Growth Rate was 94.60% per year.
During the past 3 years, the average Book Value Per Share Growth Rate was 36.80% per year.
During the past 5 years, the average Book Value Per Share Growth Rate was 32.10% per year.
During the past 10 years, the average Book Value Per Share Growth Rate was 24.70% per year.
Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the book value growth rate using book value per share data.
During the past 13 years, the highest 3-Year average Book Value Per Share Growth Rate of NVIDIA was 108.50% per year. The lowest was 2.00% per year. And the median was 18.10% per year.
NVIDIA's current price is $877.35. Its book value per share for the quarter that ended in Jan. 2024 was $17.44. Hence, today's PB Ratio of NVIDIA is 50.30.
During the past 13 years, the highest P/B Ratio of NVIDIA was 54.06. The lowest was 1.66. And the median was 13.34.
NVIDIA Book Value per Share Historical Data
The historical data trend for NVIDIA's Book Value per Share 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.
Competitive Comparison of NVIDIA's Book Value per Share
For the Semiconductors subindustry, NVIDIA's PB Ratio, along with its competitors' market caps and PB Ratio 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 PB Ratio Distribution in the Semiconductors Industry
For the Semiconductors industry and Technology sector, NVIDIA's PB Ratio distribution charts can be found below:
* The bar in red indicates where NVIDIA's PB Ratio falls into.
NVIDIA Book Value per Share Calculation
NVIDIA's Book Value Per Share for the fiscal year that ended in Jan. 2024 is calculated as:
* 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.
Book value may include intangible items which may come from the company's past acquisitions. Book value less intangibles is called Tangible Book.
NVIDIA (NAS:NVDA) Book Value per Share Explanation
Usually a company's book value and Tangible Book per Share may not reflect its true value. The assets may be carried on the balance sheets at the original cost minus depreciation. This may underestimate the true economic values of the assets. It also may over-estimate their true economic value because the assets can become obsolete.
For financial companies such as banks and insurance companies, their assets may be reported in current market value of the assets owned. Book values of financial companies are more accurate indicator of the economic value of the company.
NVIDIA Book Value per Share Related Terms
Thank you for viewing the detailed overview of NVIDIA's Book Value per Share provided by GuruFocus.com. Please click on the following links to see related term pages.
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.
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