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NVIDIA (BSP:NVDC34) Capex-to-Operating-Income : 0.04 (As of Oct. 2024)


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What is NVIDIA Capex-to-Operating-Income?

Capex-to-Operating-Income measures a company's investments in physical assets such as property, industrial buildings or equipment to its operating income.

NVIDIA's Capital Expenditure for the three months ended in Oct. 2024 was R$-4,575.40 Mil. Its Operating Income for the three months ended in Oct. 2024 was R$123,074.36 Mil.

Hence, NVIDIA's Capex-to-Operating-Income for the three months ended in Oct. 2024 was 0.04.


NVIDIA Capex-to-Operating-Income Historical Data

The historical data trend for NVIDIA's Capex-to-Operating-Income 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 Capex-to-Operating-Income Chart

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Capex-to-Operating-Income
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.17 0.25 0.10 0.33 0.03

NVIDIA Quarterly Data
Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
Capex-to-Operating-Income 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 0.03 0.02 0.02 0.05 0.04

Competitive Comparison of NVIDIA's Capex-to-Operating-Income

For the Semiconductors subindustry, NVIDIA's Capex-to-Operating-Income, along with its competitors' market caps and Capex-to-Operating-Income 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 Capex-to-Operating-Income Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's Capex-to-Operating-Income distribution charts can be found below:

* The bar in red indicates where NVIDIA's Capex-to-Operating-Income falls into.



NVIDIA Capex-to-Operating-Income Calculation

NVIDIA's Capex-to-Operating-Income for the fiscal year that ended in Jan. 2024 is calculated as

Capex-to-Operating-Income=- Capital Expenditure / Operating Income
=- (-5257.556) / 162162.89
=0.03

NVIDIA's Capex-to-Operating-Income for the quarter that ended in Oct. 2024 is calculated as

Capex-to-Operating-Income=- Capital Expenditure / Operating Income
=- (-4575.401) / 123074.358
=0.04

* 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  (BSP:NVDC34) Capex-to-Operating-Income Explanation

Capex-to-Operating-Income assesses how much emphasis a company is placing upon investing in capital-intensive projects. The ratio is generally a good gauge to quantify how much focus on growth a company has. Typically, smaller companies that are still growing and expanding will have a higher Capex to Operating Income Ratio, since such businesses are likely investing more in physical assets. Lower ratios could indicate that a company has reached maturity and it is no longer pursuing aggressive growth.


NVIDIA Capex-to-Operating-Income 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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