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NVIDIA (LTS:0R1I) EBITDA Margin % : 65.15% (As of Oct. 2024)


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What is NVIDIA EBITDA Margin %?

EBITDA Margin % is calculated as EBITDA divided by its Revenue. NVIDIA's EBITDA for the three months ended in Oct. 2024 was $22,855 Mil. NVIDIA's Revenue for the three months ended in Oct. 2024 was $35,082 Mil. Therefore, NVIDIA's EBITDA margin for the quarter that ended in Oct. 2024 was 65.15%.


NVIDIA EBITDA Margin % Historical Data

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

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
EBITDA Margin %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 31.17 34.13 42.18 22.20 58.41

NVIDIA Quarterly Data
Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
EBITDA 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 60.47 65.86 68.17 65.61 65.15

Competitive Comparison of NVIDIA's EBITDA Margin %

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

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

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



NVIDIA EBITDA Margin % Calculation

EBITDA margin is the ratio of EBITDA divided by net sales or Revenue, usually presented in percent.

NVIDIA's EBITDA Margin % for the fiscal year that ended in Jan. 2024 is calculated as

EBITDA Margin %=EBITDA (A: Jan. 2024 )/Revenue (A: Jan. 2024 )
=35583/60922
=58.41 %

NVIDIA's EBITDA Margin % for the quarter that ended in Oct. 2024 is calculated as

EBITDA Margin %=EBITDA (Q: Oct. 2024 )/Revenue (Q: Oct. 2024 )
=22855/35082
=65.15 %

* 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  (LTS:0R1I) EBITDA Margin % Explanation

EBITDA Margin % is the ratio of EBITDA divided by net sales or Revenue. It is an performance metric measuring company's operating profitability. EBITDA Margin takes depreciation and amortization, interest expense and tax into account, which makes it easy to compare the relative profitability of companies of different sizes in the same industry.


NVIDIA EBITDA Margin % Related Terms

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NVIDIA 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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