NVIDIA (BUE:NVDA) Current Accrued Expense : ARS2,526,406 Mil (As of Jan. 2024)

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What is NVIDIA Current Accrued Expense?

NVIDIA's Current Accrued Expense for the quarter that ended in Jan. 2024 was ARS2,526,406 Mil.

NVIDIA's quarterly Current Accrued Expense increased from Jul. 2023 (ARS582,196 Mil) to Oct. 2023 (ARS852,950 Mil) and increased from Oct. 2023 (ARS852,950 Mil) to Jan. 2024 (ARS2,526,406 Mil).

NVIDIA's annual Current Accrued Expense increased from Jan. 2022 (ARS144,676 Mil) to Jan. 2023 (ARS352,283 Mil) and increased from Jan. 2023 (ARS352,283 Mil) to Jan. 2024 (ARS2,526,406 Mil).

NVIDIA Current Accrued Expense Historical Data

The historical data trend for NVIDIA's Current Accrued Expense 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 Current Accrued Expense Chart

NVIDIA Annual Data

Trend

Jan15

Jan16

Jan17

Jan18

Jan19

Jan20

Jan21

Jan22

Jan23

Jan24

Current Accrued Expense

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46,391.50

77,942.16

144,676.12

352,282.90

2,526,406.20

NVIDIA Quarterly Data
	Apr19	Jul19	Oct19	Jan20	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24
Current Accrued Expense	Get a 7-Day Free Trial															352,282.90	302,057.83	582,195.63	852,949.99	2,526,406.20

NVIDIA Current Accrued Expense Calculation

Current Accrued Expense is the expense incurred during the accounting period, but not required to be paid until a later date. It includes compensation, interest, pensions and all other miscellaneous accruals reported by the company.

NVIDIA Current Accrued Expense Related Terms

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NVIDIA (BUE:NVDA) Business Description

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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.