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NVIDIA (LIM:NVDA) Inventories, Finished Goods : $2,927 Mil (As of Oct. 2024)


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What is NVIDIA Inventories, Finished Goods?

NVIDIA's quarterly finished goods increased from Apr. 2024 ($2,248 Mil) to Jul. 2024 ($2,669 Mil) and increased from Jul. 2024 ($2,669 Mil) to Oct. 2024 ($2,927 Mil).

NVIDIA's annual finished goods increased from Jan. 2022 ($1,122 Mil) to Jan. 2023 ($2,263 Mil) but then declined from Jan. 2023 ($2,263 Mil) to Jan. 2024 ($2,058 Mil).

NVIDIA Inventories, Finished Goods Historical Data

The historical data trend for NVIDIA's Inventories, Finished Goods 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 Inventories, Finished Goods Chart

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Inventories, Finished Goods
Get a 7-Day Free Trial Premium Member Only Premium Member Only 465.00 737.00 1,122.00 2,263.00 2,058.00

NVIDIA Quarterly Data
Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
Inventories, Finished Goods 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 1,778.00 2,058.00 2,248.00 2,669.00 2,927.00

NVIDIA Inventories, Finished Goods Calculation

The products in a manufacturer's inventory that are completed and are waiting to be sold.

NVIDIA Business Description

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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.