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NVIDIA (BUE:NVDA) E10 : ARS28.44 (As of Jan. 2025)


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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 Jan. 2025 was ARS935.604. Add all the adjusted EPS for the past 10 years together and divide 10 will get our e10, which is ARS28.44 for the trailing ten years ended in Jan. 2025.

During the past 12 months, NVIDIA's average E10 Growth Rate was 111.10% per year. During the past 3 years, the average E10 Growth Rate was 68.10% per year. During the past 5 years, the average E10 Growth Rate was 53.80% per year. During the past 10 years, the average E10 Growth Rate was 39.00% 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 68.10% per year. The lowest was 14.50% per year. And the median was 33.90% per year.

As of today (2025-03-27), NVIDIA's current stock price is ARS6120.00. NVIDIA's E10 for the quarter that ended in Jan. 2025 was ARS28.44. NVIDIA's Shiller PE Ratio of today is 215.19.

During the past 13 years, the highest Shiller PE Ratio of NVIDIA was 399.64. The lowest was 24.28. And the median was 149.08.


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 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25
E10
Get a 7-Day Free Trial Premium Member Only Premium Member Only 2.04 1.11 2.13 14.09 28.44

NVIDIA Quarterly Data
Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25
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 14.09 15.13 21.40 23.25 28.44

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.


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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 Jan. 2025 was:

Adj_EPS= Earnings per Share (Diluted) /CPI of Jan. 2025 (Change)*Current CPI (Jan. 2025)
=935.604/134.0288*134.0288
=935.604

Current CPI (Jan. 2025) = 134.0288.

NVIDIA Quarterly Data

per share eps CPI Adj_EPS
201504 0.053 99.824 0.071
201507 0.011 100.691 0.015
201510 0.105 100.346 0.140
201601 0.121 99.957 0.162
201604 0.128 100.947 0.170
201607 0.154 101.524 0.203
201610 0.318 101.988 0.418
201701 0.395 102.456 0.517
201704 0.304 103.167 0.395
201707 0.409 103.278 0.531
201710 0.588 104.070 0.757
201801 0.873 104.578 1.119
201804 0.995 105.708 1.262
201807 1.271 106.324 1.602
201810 2.033 106.695 2.554
201901 0.865 106.200 1.092
201904 0.692 107.818 0.860
201907 0.956 108.250 1.184
201910 2.088 108.577 2.577
202001 2.290 108.841 2.820
202004 2.369 108.173 2.935
202007 1.763 109.318 2.162
202010 4.041 109.861 4.930
202101 4.856 110.364 5.897
202104 6.977 112.673 8.299
202107 9.001 115.183 10.474
202110 9.581 116.696 11.004
202201 12.116 118.619 13.690
202204 7.112 121.978 7.815
202207 3.260 125.002 3.495
202210 3.977 125.734 4.239
202301 10.080 126.223 10.703
202304 14.502 127.992 15.186
202307 64.175 128.974 66.690
202310 129.500 129.810 133.709
202401 396.140 130.124 408.026
202404 512.779 132.289 519.522
202407 611.710 132.708 617.799
202410 756.600 133.182 761.411
202501 935.604 134.029 935.604

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
=6120.00/28.44
=215.19

* 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 399.64. The lowest was 24.28. And the median was 149.08.


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 Business Description

Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
Nvidia Corp is an upfront developer of graphics processing unit and a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. Traditionally, GPU were used to enhanvce experience,now Nvidia offers AI GPUs, and also a software platform, Cuda, used for AI model development and training. The company is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads. such as AI, model training and inference, data analytics, scientific computing, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing.