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NVIDIANVDA -2.21%95 Graham Number is $30.50 as of Apr. 2026, which is 328% above its 10-year median of 7.13. GuruFocus rates NVDA with a GF Score™ of 95/100 and a GF Value™ of $362.56 (Possible Value Trap). The stock has 4 warning signs investors should review. Among 658 Semiconductors companies, NVIDIA ranks worse than 80.24% on this metric.
Graham Number is a figure that measures a stock's fundamental value by taking into account the company's earnings per share and book value per share. The Graham number is the upper bound of the price range that a defensive investor should pay for the stock. According to the theory, any stock price below the Graham number is considered undervalued, and thus worth investing in.
As of today (2026-07-17), the stock price of NVIDIA is $202.81. NVIDIA's graham number for the quarter that ended in Apr. 2026 was $30.50. Therefore, NVIDIA's Price to Graham Number ratio for today is 6.65.
The historical rank and industry rank for NVIDIA's Graham Number or its related term are showing as below:
NVDA'
s Price-to-Graham-Number Range Over the Past 10 Years
Min: 3.13 Med: 7.13 Max: 14.51
Current: 6.65
During the past 13 years, the highest Price to Graham Number ratio of NVIDIA was 14.51. The lowest was 3.13. And the median was 7.13.
NVDA's Price-to-Graham-Number is ranked worse than 80.24% of 658
companies
in the Semiconductors industry
Industry Median: 2.89
vs NVDA: 6.65
Graham Number is a combination of asset valuation and earnings power valuation. It is a very conservative way of valuing a stock.
NVIDIA (NAS:NVDA) Graham Number Explanation
Ben Graham actually did not publish a formula like this. But he wrote in The Intelligent Investor (1948 version) regarding to the criteria for purchases:
Current price should not be more than 15 times average earnings of the past three years.
Current price should not be more than 1.5 times the book value last reported. However, a multiplier of earnings below 15 could justify a correspondingly higher multiplier of assets. As a rule of thumb we suggest that the product of the multiplier times the ratio of price to book value should not exceed 22.5. (This figure corresponds to 15 times earnings and 1.5 times book value. It would admit an issue selling at only 9 times earnings and 2.5 times asset value, etc.)
Unlike valuation methods such as DCF or Discounted Earnings, the Graham number does not take growth into the valuation. Unlike the valuation methods based on book value alone, it takes into account the earnings power. Therefore, the Graham Number is a combination of asset valuation and earnings power valuation.
In general, the Graham number is a very conservative way of valuing a stock. It cannot be applied to companies with negative book values.
NVIDIA's Price to Graham number Ratio for today is calculated as
Price to Graham number
=
Share Price (Today)
/
Graham number (Q: Apr. 2026 )
=
202.81
/
30.50
=
6.65
* 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.
Be Aware
Please keep these in mind:
1. Graham Number does not take growth into account. Therefore it underestimates the values of the companies that have good earnings growth. We feel that if the earnings per share grows more than 10% a year, Graham Number underestimates the value.
2. Graham Number punishes the companies that have temporarily low earnings. Therefore, an average of earnings makes more sense in the calculation of Graham Number.
3. Graham Numbers underestimates companies that are light with book.
NVIDIA Graham Number Related Terms
NVIDIA Graham Number Historical Data
* Premium members only.
The historical data trend for NVIDIA's Graham Number 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.
For the Semiconductors subindustry, NVIDIA's Price-to-Graham-Number, along with its competitors' market caps and Price-to-Graham-Number 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 Price-to-Graham-Number vs Semiconductors Industry
For the Semiconductors industry and Technology sector, NVIDIA's Price-to-Graham-Number distribution charts can be found below:
* The bar in red indicates where NVIDIA's Price-to-Graham-Number falls into.
* 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.
NVIDIA (NVDA) has a Graham Number of $30.50 as of Apr. 2026. The Graham Number values a company based on its per-share earnings and book value. View historical data on NVIDIA and its competitors. This is 328% above median its historical median of 7.13. Over the past decade, NVIDIA's Graham Number has ranged from 3.13 to 14.51. According to the industry distribution chart, NVIDIA ranks #528 out of 658 companies in the Semiconductors industry, placing it in the top 80.2%.
Is NVIDIA's Graham Number too high?
NVIDIA's current Graham Number of $30.50 is 328% above median its 10-year median of 7.13. Over the past 10 years, this metric has ranged from a low of 3.13 to a high of 14.51. The Semiconductors industry median Graham Number is 2.89. NVIDIA's value of $30.50 is 955.4% above this industry median. Based on the distribution chart, NVIDIA ranks #528 out of 658 companies in the Semiconductors industry, which is in the bottom quartile relative to peers. Overall, NVIDIA has a GF Score™ of 95/100 and is considered Possible Value Trap, reflecting its overall financial health beyond just this single metric.
How does NVIDIA's Graham Number compare to AVGO and MU?
According to the Semiconductors industry distribution chart, NVIDIA ranks #528 out of 658 companies for Graham Number. This places NVIDIA in the lower half of its industry. The industry median Graham Number is 2.89. NVIDIA's value of $30.50 is 955.4% above this benchmark. Historically, NVIDIA's own Graham Number has ranged from 3.13 to 14.51 over the past decade. While the company's 10-year median is 7.13 vs. the industry median of 2.89, NVIDIA has consistently been above the industry average. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Graham Number for a Semiconductors company?
The median Graham Number among Semiconductors companies is 2.89, based on 658 companies in the industry. Companies in the top quartile (top 25%) have a Graham Number significantly above this median, while those in the bottom quartile fall well below. However, Graham Number should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. NVIDIA's current Graham Number of $30.50 is 955.4% above the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Graham Number mean?
A high Graham Number can signal that a stock is expensive relative to its fundamentals. The Graham Number values a company based on its per-share earnings and book value. View historical data on NVIDIA and its competitors. For the Semiconductors industry, the median Graham Number is 2.89 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. NVIDIA's current Graham Number is $30.50, which is 328% above median its own 10-year median of 7.13. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is NVIDIA stock overvalued right now?
Based on GuruFocus' analysis, NVIDIA (NVDA) is currently considered Possible Value Trap. The stock's GF Value™ is $362.56, compared to a current price of $202.81 — trading 44.1% below its estimated fair value. The current Graham Number is $30.50, which is 328% above median its 10-year median of 7.13 and 955.4% above the Semiconductors industry median of 2.89. NVIDIA's overall GF Score™ is 95/100 with 4 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Graham Number calculated?
Graham Number is calculated from a company's financial statements. For NVIDIA (NVDA), the current Graham Number is $30.50 as of Apr. 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
Is NVIDIA (NVDA) Overvalued in 2026?
Based on GuruFocus' analysis, NVIDIA stock appears to be undervalued.
The current stock price of $202.81 is trading 44.1% below its estimated GF Value™ of $362.56.
GuruFocus considers NVIDIA to be Possible Value Trap.
Key valuation signals for NVDA:
Graham Number: $30.50 (328% above median its 10-year median of 7.13)
GF Value™: $362.56 vs. price of $202.81 (44.1% below fair value)
Industry Position: 955.4% above the Semiconductors median (#528 of 658)
No single metric tells the full story. See the NVDA stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.
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 to run large language models. 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.
95GF Score
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