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NVIDIA (XTER:NVD) Total Current Assets : €77,402 Mil (As of Jan. 2025)


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What is NVIDIA Total Current Assets?

Total current assets includes Cash, Cash Equivalents, Marketable Securities, Total Receivables, Total Inventories, and Other Current Assets. NVIDIA's total current assets for the quarter that ended in Jan. 2025 was €77,402 Mil.


NVIDIA Total Current Assets Historical Data

The historical data trend for NVIDIA's Total Current Assets 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 Total Current Assets Chart

NVIDIA Annual Data
Trend Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25
Total Current Assets
Get a 7-Day Free Trial Premium Member Only Premium Member Only 13,181.16 25,484.84 21,411.74 40,708.71 77,401.72

NVIDIA Quarterly Data
Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25
Total Current Assets Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 40,708.71 50,075.43 54,981.63 62,093.52 77,401.72

NVIDIA Total Current Assets Calculation

Total Current Assets are the asset that can be converted to cash or used to pay current liabilities within 12 months.

NVIDIA's Total Current Assets for the fiscal year that ended in Jan. 2025 is calculated as

NVIDIA's Total Current Assets for the quarter that ended in Jan. 2025 is calculated as

* 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.

Total Current Assets is linked to the Current Ratio, which is the result of dividing total current assets by total current liabilities. It is frequently used as an indicator of a company's liquidity, its ability to meet short-term obligations.

Total Current Assets is also linked to Working Capital, Net working capital is calculated as Total Current Assets minus Total Current Liabilities.


NVIDIA  (XTER:NVD) Total Current Assets Explanation

In Ben Graham's calculation of liquidation value, inventory is only considered worth half of its book value, and accounts receivable is considered worth 75% of its value. Therefore the liquidation value is lower than calculated from total current assets.

NVIDIA's Liquidation Value for the quarter that ended in Jan. 2025 is

Liquidation value
= Cash, Cash Equivalents, Marketable Securities-Total Liabilities+(0.75 * Accounts Receivable)+(0.5 * Total Inventories)
=41740.86-31176.684+0.75 * 22280.79+0.5 * 9737.28
=32,143

* 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.


NVIDIA Total Current Assets Related Terms

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NVIDIA Business Description

Address
2788 San Tomas Expressway, Santa Clara, CA, USA, 95051
Nvidia Corp is an upfront developer of graphics processing unit and a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. Traditionally, GPU were used to enhanvce experience,now Nvidia offers AI GPUs, and also a software platform, Cuda, used for AI model development and training. The company is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads. such as AI, model training and inference, data analytics, scientific computing, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing.

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