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NVIDIA (XTER:NVD) LT-Debt-to-Total-Asset : 0.09 (As of Jan. 2025)


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What is NVIDIA LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. NVIDIA's long-term debt to total assests ratio for the quarter that ended in Jan. 2025 was 0.09.

NVIDIA's long-term debt to total assets ratio declined from Jan. 2024 (0.15) to Jan. 2025 (0.09). It may suggest that NVIDIA is progressively becoming less dependent on debt to grow their business.


NVIDIA LT-Debt-to-Total-Asset Historical Data

The historical data trend for NVIDIA's LT-Debt-to-Total-Asset 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 LT-Debt-to-Total-Asset Chart

NVIDIA Annual Data
Trend Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.23 0.26 0.26 0.15 0.09

NVIDIA Quarterly Data
Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25
LT-Debt-to-Total-Asset 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 0.15 0.13 0.12 0.10 0.09

NVIDIA LT-Debt-to-Total-Asset Calculation

NVIDIA's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jan. 2025 is calculated as

LT Debt to Total Assets (A: Jan. 2025 )=Long-Term Debt & Capital Lease Obligation (A: Jan. 2025 )/Total Assets (A: Jan. 2025 )
=9642.612/107806.566
=0.09

NVIDIA's Long-Term Debt to Total Asset Ratio for the quarter that ended in Jan. 2025 is calculated as

LT Debt to Total Assets (Q: Jan. 2025 )=Long-Term Debt & Capital Lease Obligation (Q: Jan. 2025 )/Total Assets (Q: Jan. 2025 )
=9642.612/107806.566
=0.09

* 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  (XTER:NVD) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


NVIDIA LT-Debt-to-Total-Asset 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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