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NVIDIA (BSP:NVDC34) Total Current Liabilities

: R$52,285 Mil (As of Jan. 2024)
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Total current liabilities includes Accounts Payable & Accrued Expense, Short-Term Debt & Capital Lease Obligation, Other Current Liabilities, and Current Deferred Liabilities. NVIDIA's total current liabilities for the quarter that ended in Jan. 2024 was R$52,285


NVIDIA Total Current Liabilities Historical Data

The historical data trend for NVIDIA's Total 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.

* Premium members only.

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Total Current Liabilities
Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 7,405.74 21,066.65 23,972.55 34,076.41 52,285.38

NVIDIA Quarterly Data
Apr19 Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24
Total Current Liabilities 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 Premium Member Only Premium Member Only Premium Member Only 34,076.41 36,456.09 49,608.37 46,013.75 52,285.38

NVIDIA Total Current Liabilities Calculation

Total Current Liabilities is the total amount of liabilities that the company needs to pay over the next 12 months.

NVIDIA's Total Current Liabilities for the fiscal year that ended in Jan. 2024 is calculated as

Total Current Liabilities=Accounts Payable & Accrued Expense+Short-Term Debt & Capital Lease Obligation
=30099.384+7269.1
+Other Current Liabilities+Current Deferred Liabilities
=11159.395+3757.505
=52,285

NVIDIA's Total Current Liabilities for the quarter that ended in Jan. 2024 is calculated as

Total Current Liabilities=Accounts Payable & Accrued Expense+Short-Term Debt & Capital Lease Obligation
=30099.384+7269.1
+Other Current Liabilities+Current Deferred Liabilities
=11159.395+3757.505
=52,285

* 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.

The increase of Total Current Liabilities of a company is not necessarily a bad thing. This may conserve the company's cash and contribute positively to cash flow.

Total Current Liabilities is linked to Total Current Assets through the Current Ratio and Working Capital. The Current Ratio is equal to 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. Net working capital is calculated as Total Current Assets minus Total Current Liabilities.


Be Aware

Stay away from companies that roll over the debt e.g. Bear Stearns

When investing in financial institutions, Buffett shies from those who are bigger borrowers of short term than long term debt.

His favorite Wells Fargo has 57 cents short term debt for every dollar of long term.

Aggressive banks (like Bank of America) has $2.09 short term for every dollar long term


NVIDIA Total Current Liabilities Related Terms

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NVIDIA (BSP:NVDC34) Business Description

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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