NVIDIA (BUE:NVDA) Inventories, Work In Process : ARS1,216,717 Mil (As of Jan. 2024)

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What is NVIDIA Inventories, Work In Process?

Work in process is the part of a manufacturer's inventory that is in the production process and has not yet been completed and transferred to the finished goods inventory. NVIDIA's work in process for the quarter that ended in Jan. 2024 was ARS1,216,717 Mil.

NVIDIA Inventories, Work In Process Historical Data

The historical data trend for NVIDIA's Inventories, Work In Process 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, Work In Process Chart

NVIDIA Annual Data

Trend

Jan15

Jan16

Jan17

Jan18

Jan19

Jan20

Jan21

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Jan23

Jan24

Inventories, Work In Process

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15,862.90

38,424.56

71,054.56

82,411.56

1,216,717.23

NVIDIA Quarterly Data
	Apr19	Jul19	Oct19	Jan20	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24
Inventories, Work In Process	Get a 7-Day Free Trial															82,411.56	164,469.43	271,588.61	468,299.99	1,216,717.23

NVIDIA Inventories, Work In Process Calculation

That part of a manufacturer's inventory that is in the production process and has not yet been completed and transferred to the finished goods inventory. This account contains the cost of the direct material, direct labor, and factory overhead placed into the products on the factory floor. A manufacturer must disclose in its financial statements the cost of its work-in-process as well as the cost of finished goods and materials on hand.

NVIDIA (BUE:NVDA) Business Description

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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.