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NVIDIA (BUE:NVDA) E10 : ARS150.41 (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 ARS5,127.790. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ARS150.41 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 (2024-05-27), NVIDIA's current stock price is ARS54603.00. NVIDIA's E10 for the quarter that ended in Apr. 2024 was ARS150.41. NVIDIA's Shiller PE Ratio of today is 363.03.

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 - 20.14 11.24 21.92 138.77

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 29.08 41.36 78.33 138.77 150.41

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)
=5127.79/131.7762*131.7762
=5,127.790

Current CPI (Apr. 2024) = 131.7762.

NVIDIA Quarterly Data

per share eps CPI Adj_EPS
201407 0.449 100.520 0.589
201410 0.657 100.176 0.864
201501 0.756 98.604 1.010
201504 0.534 99.824 0.705
201507 0.115 100.691 0.151
201510 1.051 100.346 1.380
201601 1.209 99.957 1.594
201604 1.284 100.947 1.676
201607 1.540 101.524 1.999
201610 3.184 101.988 4.114
201701 3.945 102.456 5.074
201704 3.042 103.167 3.886
201707 4.095 103.278 5.225
201710 5.882 104.070 7.448
201801 8.734 104.578 11.006
201804 9.954 105.708 12.409
201807 12.707 106.324 15.749
201810 20.330 106.695 25.109
201901 8.652 106.200 10.736
201904 6.925 107.818 8.464
201907 9.556 108.250 11.633
201910 20.876 108.577 25.336
202001 22.896 108.841 27.721
202004 23.689 108.173 28.858
202007 17.628 109.318 21.250
202010 40.407 109.861 48.468
202101 48.556 110.364 57.976
202104 69.766 112.673 81.595
202107 90.014 115.183 102.981
202110 95.807 116.696 108.188
202201 121.162 118.619 134.601
202204 71.117 121.978 76.830
202207 32.604 125.002 34.371
202210 39.774 125.734 41.685
202301 100.804 126.223 105.239
202304 145.016 127.992 149.303
202307 636.616 128.974 650.446
202310 1,298.500 129.810 1,318.171
202401 3,977.574 130.124 4,028.065
202404 5,127.790 131.776 5,127.790

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


NVIDIA  (BUE: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
=54603.00/150.41
=363.03

* 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 (BUE: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.

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