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NVIDIA (LTS:0R1I) Other Current Liabilities : $2,269 Mil (As of Jan. 2024)


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What is NVIDIA Other Current Liabilities?

NVIDIA's other current liabilities for the quarter that ended in Jan. 2024 was $2,269 Mil.

NVIDIA's quarterly other current liabilities increased from Jul. 2023 ($1,456 Mil) to Oct. 2023 ($1,872 Mil) and increased from Oct. 2023 ($1,872 Mil) to Jan. 2024 ($2,269 Mil).

NVIDIA's annual other current liabilities increased from Jan. 2022 ($567 Mil) to Jan. 2023 ($1,131 Mil) and increased from Jan. 2023 ($1,131 Mil) to Jan. 2024 ($2,269 Mil).


NVIDIA Other Current Liabilities Historical Data

The historical data trend for NVIDIA's Other Current Liabilities 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 Other Current Liabilities Chart

NVIDIA Annual Data
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Other Current Liabilities
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NVIDIA Quarterly Data
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NVIDIA Other Current Liabilities Calculation

The liability a company needs to pay in the next 12 months, but not assigned to Accounts Payable or Debt. For instance, Wal-Mart (WMT) has accrued wages, salaries, valuation, bonuses, insurance liabilities, accrued tax etc. These are all included in other current liabilities.


NVIDIA Other Current Liabilities Related Terms

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NVIDIA (LTS:0R1I) Business Description

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Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
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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