NVIDIA (LTS:0R1I) Short-Term Debt : $1,250 Mil (As of Jan. 2024)

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What is NVIDIA Short-Term Debt?

NVIDIA's Short-Term Debt for the quarter that ended in Jan. 2024 was $1,250 Mil.

NVIDIA's quarterly Short-Term Debt stayed the same from Jul. 2023 ($1,249 Mil) to Oct. 2023 ($1,249 Mil) but then increased from Oct. 2023 ($1,249 Mil) to Jan. 2024 ($1,250 Mil).

NVIDIA's annual Short-Term Debt increased from Jan. 2022 ($0 Mil) to Jan. 2023 ($1,250 Mil) but then stayed the same from Jan. 2023 ($1,250 Mil) to Jan. 2024 ($1,250 Mil).

NVIDIA Short-Term Debt Historical Data

The historical data trend for NVIDIA's Short-Term Debt 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 Short-Term Debt Chart

NVIDIA Annual Data

Trend

Jan15

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Jan24

Short-Term Debt

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999.00

1,250.00

NVIDIA Quarterly Data
	Apr19	Jul19	Oct19	Jan20	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24
Short-Term Debt	Get a 7-Day Free Trial															1,250.00	1,250.00	1,249.00	1,249.00	1,250.00

NVIDIA Short-Term Debt Explanation

Short-Term Debt represents the total amount of Long-Term Debt such as bank loans and commercial paper, which is due within one year.

NVIDIA Short-Term Debt Related Terms

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NVIDIA (LTS:0R1I) 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.

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