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NVIDIA (WBO:NVDA) FCF Margin % : 39.54% (As of Jan. 2025)


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What is NVIDIA FCF Margin %?

FCF Margin % is calculated as Free Cash Flow divided by its Revenue. NVIDIA's Free Cash Flow for the three months ended in Jan. 2025 was €15,023 Mil. NVIDIA's Revenue for the three months ended in Jan. 2025 was €37,994 Mil. Therefore, NVIDIA's FCF Margin % for the quarter that ended in Jan. 2025 was 39.54%.

As of today, NVIDIA's current FCF Yield % is 1.89%.

The historical rank and industry rank for NVIDIA's FCF Margin % or its related term are showing as below:

WBO:NVDA' s FCF Margin % Range Over the Past 10 Years
Min: 14.12   Med: 29.05   Max: 46.63
Current: 46.55


During the past 13 years, the highest FCF Margin % of NVIDIA was 46.63%. The lowest was 14.12%. And the median was 29.05%.

WBO:NVDA's FCF Margin % is ranked better than
98.41% of 1004 companies
in the Semiconductors industry
Industry Median: -1.115 vs WBO:NVDA: 46.55


NVIDIA FCF Margin % Historical Data

The historical data trend for NVIDIA's FCF Margin % 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 FCF Margin % Chart

NVIDIA Annual Data
Trend Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25
FCF Margin %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 28.15 30.21 14.12 44.35 46.63

NVIDIA Quarterly Data
Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25
FCF Margin % 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 50.88 57.50 44.98 47.93 39.54

Competitive Comparison of NVIDIA's FCF Margin %

For the Semiconductors subindustry, NVIDIA's FCF Margin %, along with its competitors' market caps and FCF Margin % 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 FCF Margin % Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's FCF Margin % distribution charts can be found below:

* The bar in red indicates where NVIDIA's FCF Margin % falls into.


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NVIDIA FCF Margin % Calculation

FCF margin is the ratio of Free Cash Flow divided by net sales or Revenue, usually presented in percent.

NVIDIA's FCF Margin for the fiscal year that ended in Jan. 2025 is calculated as

FCF Margin=Free Cash Flow (A: Jan. 2025 )/Revenue (A: Jan. 2025 )
=58783.998/126060.102
=46.63 %

NVIDIA's FCF Margin for the quarter that ended in Jan. 2025 is calculated as

FCF Margin=Free Cash Flow (Q: Jan. 2025 )/Revenue (Q: Jan. 2025 )
=15023.232/37993.746
=39.54 %

* 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 FCF Margin % Related Terms

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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.