NVIDIA (LIM:NVDA) Capex-to-Operating-Income : 0.02 (As of Jan. 2024)

View and export this data going back to 2019. Start your Free Trial

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 Jan. 2024 was $-254.00 Mil. Its Operating Income for the three months ended in Jan. 2024 was $13,614.00 Mil.

Hence, NVIDIA's Capex-to-Operating-Income for the three months ended in Jan. 2024 was 0.02.

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

0.17

0.25

0.10

0.33

0.03

NVIDIA Quarterly Data
	Apr19	Jul19	Oct19	Jan20	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24
Capex-to-Operating-Income	Get a 7-Day Free Trial															0.41	0.12	0.04	0.03	0.02

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
	=	- (-1069)	/	32972
	=	0.03

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

Capex-to-Operating-Income	=	- Capital Expenditure	/	Operating Income
	=	- (-254)	/	13614
	=	0.02

NVIDIA (LIM:NVDA) 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

Thank you for viewing the detailed overview of NVIDIA's Capex-to-Operating-Income provided by GuruFocus.com. Please click on the following links to see related term pages.

NVIDIA (LIM:NVDA) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » NVIDIA Corp (LIM:NVDA) » Definitions » Capex-to-Operating-Income

Comparable Companies

Traded in Other Exchanges

NVDA:USA NVDA:Mexico NVDA_KZ:Kazakhstan NVDA:Italy NVDd:UK 0R1I:UK NVD:Germany NVDA:Canada NVDC34:Brazil NVDA:Austria NVDA:Argentina

Address

2788 San Tomas Expressway, Santa Clara, CA, USA, 95051

Website

https://www.nvidia.com

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.