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NVIDIA (CHIX:NVDD) Land And Improvements : €0 Mil (As of Oct. 2024)


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What is NVIDIA Land And Improvements?

NVIDIA's land and improvements for the quarter that ended in Oct. 2024 was €0 Mil.

NVIDIA's annual land and improvements increased from Jan. 2022 (€193 Mil) to Jan. 2023 (€202 Mil) but then declined from Jan. 2023 (€202 Mil) to Jan. 2024 (€200 Mil).


NVIDIA Land And Improvements Historical Data

The historical data trend for NVIDIA's Land And Improvements 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.

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NVIDIA Land And Improvements Chart

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Land And Improvements
Get a 7-Day Free Trial Premium Member Only Premium Member Only 196.42 178.98 192.71 202.30 200.12

NVIDIA Quarterly Data
Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
Land And Improvements 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 - 200.12 - - -

NVIDIA Land And Improvements Calculation

Land is the surface or crust of the earth, which can be used to support structures, and may be used to grow crops, grass, shrubs, and trees. Land is characterized as having an unlimited life (indefinite). Land improvement is a long-term asset which indicates the cost of the constructed improvements to land, such as driveways, walkways, lighting, and parking lots.


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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