NVIDIA (LIM:NVDA) Inventories, Finished Goods

: $2,058 Mil (As of Jan. 2024)

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

NVIDIA's quarterly finished goods increased from Jul. 2023 ($1,629 Mil) to Oct. 2023 ($1,778 Mil) and increased from Oct. 2023 ($1,778 Mil) to Jan. 2024 ($2,058 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.

* Premium members only.

NVIDIA Annual Data

Trend

Jan15

Jan16

Jan17

Jan18

Jan19

Jan20

Jan21

Jan22

Jan23

Jan24

Inventories, Finished Goods

465.00

737.00

1,122.00

2,263.00

2,058.00

NVIDIA Quarterly Data
	Apr19	Jul19	Oct19	Jan20	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24
Inventories, Finished Goods																2,263.00	1,872.00	1,629.00	1,778.00	2,058.00

NVIDIA Inventories, Finished Goods Calculation

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

NVIDIA (LIM:NVDA) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » NVIDIA Corp (LIM:NVDA) » Definitions » Inventories, Finished Goods

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.