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NVIDIA (UKEX:NVDA) E10 : ₴127.60 (As of Apr. 2024)


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What is NVIDIA E10?

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller P/E calculation. E10 is the average of the inflation adjusted earnings of a company over the past 10 years.

NVIDIA's adjusted earnings per share data for the three months ended in Apr. 2024 was ₴241.054. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ₴127.60 for the trailing ten years ended in Apr. 2024.

During the past 12 months, NVIDIA's average E10 Growth Rate was 113.00% per year. During the past 3 years, the average E10 Growth Rate was 49.90% per year. During the past 5 years, the average E10 Growth Rate was 38.60% per year. During the past 10 years, the average E10 Growth Rate was 33.30% 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 E10 growth rate using E10 data.

During the past 13 years, the highest 3-Year average E10 Growth Rate of NVIDIA was 49.90% per year. The lowest was 6.30% per year. And the median was 23.50% per year.

As of today (2024-05-28), NVIDIA's current stock price is ₴33612.00. NVIDIA's E10 for the quarter that ended in Apr. 2024 was ₴127.60. NVIDIA's Shiller PE Ratio of today is 263.42.

During the past 13 years, the highest Shiller PE Ratio of NVIDIA was 354.47. The lowest was 25.03. And the median was 116.80.


NVIDIA E10 Historical Data

The historical data trend for NVIDIA's E10 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.

* Premium members only.

NVIDIA E10 Chart

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - - 79.09

NVIDIA Quarterly Data
Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24
E10 Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - 79.09 127.60

Competitive Comparison of NVIDIA's E10

For the Semiconductors subindustry, NVIDIA's Shiller PE Ratio, along with its competitors' market caps and Shiller PE 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 Shiller PE Ratio Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where NVIDIA's Shiller PE Ratio falls into.



NVIDIA E10 Calculation

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller P/E calculation. When we calculate the today's Shiller P/E ratio of a stock, we use today's price divided by E10.

What is E10? How do we calculate E10?

E10 is the average of the inflation adjusted earnings of a company over the past 10 years. Let's use an example to explain.

If we want to calculate the E10 of Wal-Mart (WMT) for Dec. 31, 2010, we need to have the inflation data and the earnings from 2001 through 2010.

We adjusted the earnings of 2001 earnings data with the total inflation from 2001 through 2010 to the equivalent earnings in 2010. If the total inflation from 2001 to 2010 is 40%, and Wal-Mart earned $1 a share in 2001, then the 2001's equivalent earnings in 2010 is $1.4 a share. If Wal-Mart earns $1 again in 2002, and the total inflation from 2002 through 2010 is 35%, then the equivalent 2002 earnings in 2010 is $1.35. So on and so forth, you get the equivalent earnings of past 10 years. Then you add them together and divided the sum by 10 to get E10.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.

For example, NVIDIA's adjusted earnings per share data for the three months ended in Apr. 2024 was:

Adj_EPS= Earnings per Share (Diluted) /CPI of Apr. 2024 (Change)*Current CPI (Apr. 2024)
=241.054/131.7762*131.7762
=241.054

Current CPI (Apr. 2024) = 131.7762.

NVIDIA Quarterly Data

per share eps CPI Adj_EPS
201407 2.217 100.520 2.906
201410 3.124 100.176 4.109
201501 3.527 98.604 4.714
201504 2.419 99.824 3.193
201507 0.504 100.691 0.660
201510 4.434 100.346 5.823
201601 3.527 99.957 4.650
201604 3.527 100.947 4.604
201607 4.132 101.524 5.363
201610 8.364 101.988 10.807
201701 9.977 102.456 12.832
201704 7.961 103.167 10.169
201707 9.271 103.278 11.829
201710 13.403 104.070 16.971
201801 17.938 104.578 22.603
201804 19.953 105.708 24.874
201807 17.736 106.324 21.982
201810 19.853 106.695 24.520
201901 9.271 106.200 11.504
201904 6.450 107.818 7.883
201907 9.070 108.250 11.041
201910 14.612 108.577 17.734
202001 15.419 108.841 18.668
202004 14.814 108.173 18.046
202007 10.077 109.318 12.147
202010 21.364 109.861 25.626
202101 23.279 110.364 27.795
202104 30.636 112.673 35.830
202107 37.891 115.183 43.350
202110 39.101 116.696 44.154
202201 47.566 118.619 52.842
202204 25.798 121.978 27.870
202207 10.481 125.002 11.049
202210 10.884 125.734 11.407
202301 22.977 126.223 23.988
202304 33.054 127.992 34.031
202307 99.969 128.974 102.141
202310 149.550 129.810 151.816
202401 198.325 130.124 200.843
202404 241.054 131.776 241.054

Add all the adjusted EPS together and divide 10 will get our e10.


NVIDIA  (UKEX:NVDA) E10 Explanation

If a company grows much fast than inflation, E10 may underestimate the company's earnings power. Shiller PE Ratio can seem to be too high even the actual P/E is low.

For the Shiller P/E, the earnings of the past 10 years are inflation-adjusted and averaged. The result is used for P/E calculation. Since it looks at the average over the last 10 years, the Shiller P/E is also called PE10.

The Shiller P/E was first used by professor Robert Shiller to measure the valuation of the overall market. The same calculation is applied here to individual companies.

NVIDIA's Shiller P/E Ratio of today is calculated as

Shiller PE Ratio=Share Price/E10
=33612.00/127.6
=263.42

* 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.

During the past 13 years, the highest Shiller P/E Ratio of NVIDIA was 354.47. The lowest was 25.03. And the median was 116.80.


Be Aware

Shiller PE Ratio works better for cyclical companies. It gives you a better idea on the company's real earnings power.


NVIDIA E10 Related Terms

Thank you for viewing the detailed overview of NVIDIA's E10 provided by GuruFocus.com. Please click on the following links to see related term pages.


NVIDIA (UKEX:NVDA) Business Description

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