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NVIDIA (LTS:0R1I) Cyclically Adjusted FCF per Share : $0.32 (As of Apr. 2024)


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What is NVIDIA Cyclically Adjusted FCF per Share?

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller PE Ratio calculation. E10 is the average of the inflation adjusted earnings of a company over the past 10 years. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted FCF per Share and the Cyclically Adjusted Price-to-FCF. The Cyclically Adjusted FCF per Share is the average of the inflation adjusted Free Cash Flow per Share of a company over the past 10 years.

NVIDIA's adjusted free cash flow per share for the three months ended in Apr. 2024 was $0.602. Add all the adjusted free cash flow per share for the past 10 years together and divide the count will get our Cyclically Adjusted FCF per Share, which is $0.32 for the trailing ten years ended in Apr. 2024.

During the past 12 months, NVIDIA's average Cyclically Adjusted FCF Growth Rate was 93.80% per year. During the past 3 years, the average Cyclically Adjusted FCF Growth Rate was 40.60% per year. During the past 5 years, the average Cyclically Adjusted FCF Growth Rate was 31.20% per year. During the past 10 years, the average Cyclically Adjusted FCF Growth Rate was 26.30% 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 Cyclically Adjusted FCF Growth Rate using Cyclically Adjusted FCF per Share data.

During the past 13 years, the highest 3-Year average Cyclically Adjusted FCF Growth Rate of NVIDIA was 40.60% per year. The lowest was 10.10% per year. And the median was 26.00% per year.

As of today (2024-06-12), NVIDIA's current stock price is $124.86. NVIDIA's Cyclically Adjusted FCF per Share for the quarter that ended in Apr. 2024 was $0.32. NVIDIA's Cyclically Adjusted Price-to-FCF of today is 390.19.

During the past 13 years, the highest Cyclically Adjusted Price-to-FCF of NVIDIA was 390.03. The lowest was 16.00. And the median was 105.03.


NVIDIA Cyclically Adjusted FCF per Share Historical Data

The historical data trend for NVIDIA's Cyclically Adjusted FCF 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.

* Premium members only.

NVIDIA Cyclically Adjusted FCF per Share Chart

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Cyclically Adjusted FCF per Share
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.07 0.09 0.12 0.14 0.25

NVIDIA Quarterly Data
Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24
Cyclically Adjusted FCF per Share 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 0.16 0.18 0.21 0.25 0.32

Competitive Comparison of NVIDIA's Cyclically Adjusted FCF per Share

For the Semiconductors subindustry, NVIDIA's Cyclically Adjusted Price-to-FCF, along with its competitors' market caps and Cyclically Adjusted Price-to-FCF 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 Cyclically Adjusted Price-to-FCF Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's Cyclically Adjusted Price-to-FCF distribution charts can be found below:

* The bar in red indicates where NVIDIA's Cyclically Adjusted Price-to-FCF falls into.



NVIDIA Cyclically Adjusted FCF per Share Calculation

E10 is a concept invented by Prof. Robert Shiller, who uses E10 for his Shiller PE Ratio calculation. E10 is the average of the inflation adjusted earnings of a company over the past 10 years. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted FCF per Share and the Cyclically Adjusted Price-to-FCF. The Cyclically Adjusted FCF per Share is the average of the inflation adjusted Free Cash Flow per Share of a company over the past 10 years.

What is Cyclically Adjusted FCF per Share? How do we calculate Cyclically Adjusted FCF per Share?

Cyclically Adjusted FCF per Share is the average of the inflation adjusted Free Cash Flow per Share of a company over the past 10 years. Let's use an example to explain.

If we want to calculate the Cyclically Adjusted FCF per Share of Wal-Mart (WMT) for Dec. 31, 2010, we need to have the inflation data and the free cash flow per share from 2001 through 2010.

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

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 Free Cash Flow per Share data for the three months ended in Apr. 2024 was:

Adj_FreeCashFlowPerShare= Free Cash Flow per Share /CPI of Apr. 2024 (Change)*Current CPI (Apr. 2024)
=0.602/131.7762*131.7762
=0.602

Current CPI (Apr. 2024) = 131.7762.

NVIDIA Quarterly Data

Free Cash Flow per Share CPI Adj_FreeCashFlowPerShare
201407 0.003 100.520 0.004
201410 0.008 100.176 0.011
201501 0.019 98.604 0.025
201504 0.010 99.824 0.013
201507 0.006 100.691 0.008
201510 0.011 100.346 0.014
201601 0.021 99.957 0.028
201604 0.011 100.947 0.014
201607 0.007 101.524 0.009
201610 0.015 101.988 0.019
201701 0.024 102.456 0.031
201704 0.009 103.167 0.011
201707 0.026 103.278 0.033
201710 0.043 104.070 0.054
201801 0.037 104.578 0.047
201804 0.053 105.708 0.066
201807 0.031 106.324 0.038
201810 0.013 106.695 0.016
201901 0.028 106.200 0.035
201904 0.024 107.818 0.029
201907 0.033 108.250 0.040
201910 0.062 108.577 0.075
202001 0.053 108.841 0.064
202004 0.030 108.173 0.037
202007 0.054 109.318 0.065
202010 0.032 109.861 0.038
202101 0.071 110.364 0.085
202104 0.062 112.673 0.073
202107 0.099 115.183 0.113
202110 0.051 116.696 0.058
202201 0.108 118.619 0.120
202204 0.054 121.978 0.058
202207 0.033 125.002 0.035
202210 -0.006 125.734 -0.006
202301 0.070 126.223 0.073
202304 0.107 127.992 0.110
202307 0.242 128.974 0.247
202310 0.283 129.810 0.287
202401 0.451 130.124 0.457
202404 0.602 131.776 0.602

Add all the adjusted free cash flow per share together and divide 10 will get our Cyclically Adjusted FCF per Share.


NVIDIA  (LTS:0R1I) Cyclically Adjusted FCF per Share Explanation

If a company grows much fast than inflation, Cyclically Adjusted FCF per Share may underestimate the company's free cash flow. Cyclically Adjusted Price-to-FCF can seem to be too high even the actual Price-to-Free-Cash-Flow is low.

For the Cyclically Adjusted Price-to-FCF, the free cash flow per share of the past 10 years are inflation-adjusted and averaged. The result is used for P/FCF calculation. Since it looks at the average over the last 10 years, the Cyclically Adjusted Price-to-FCF is also called CAPFCF Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller. He uses E10 for his Shiller PE Ratio calculation. E10 is the average of the inflation adjusted earnings per share of a company over the past 10 years. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted Price-to-FCF. The Cyclically Adjusted FCF per Share is the average of the inflation adjusted free cash flow per share of a company over the past 10 years.

NVIDIA's Cyclically Adjusted Price-to-FCF of today is calculated as

Cyclically Adjusted Price-to-FCF=Share Price/Cyclically Adjusted FCF per Share
=124.86/0.32
=390.19

* 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 Cyclically Adjusted Price-to-FCF of NVIDIA was 390.03. The lowest was 16.00. And the median was 105.03.


Be Aware

Cyclically Adjusted Price-to-FCF works better for cyclical companies. It gives you a better idea on the company's real free cash flow value.


NVIDIA Cyclically Adjusted FCF per Share Related Terms

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


NVIDIA (LTS:0R1I) Business Description

Industry
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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