Equity to Asset ratio is calculated as total stockholders equity divided by total asset. NVIDIA's Total Stockholders Equity for the quarter that ended in Jan. 2024 was $42,978 Mil. NVIDIA's Total Assets for the quarter that ended in Jan. 2024 was $65,728 Mil.
Therefore, NVIDIA's Equity to Asset Ratio for the quarter that ended in Jan. 2024 was 0.65.
The historical rank and industry rank for NVIDIA's Equity-to-Asset or its related term are showing as below:
NVDA'
s Equity-to-Asset Range Over the Past 10 Years
Min: 0.54 Med: 0.61 Max: 0.71
Current: 0.65
During the past 13 years, the highest Equity to Asset Ratio of NVIDIA was 0.71. The lowest was 0.54. And the median was 0.61.
NVDA's Equity-to-Asset is ranked better than 53.2% of 1000
companies
in the Semiconductors industry
Industry Median: 0.63
vs NVDA: 0.65
NVIDIA Equity-to-Asset Historical Data
The historical data trend for NVIDIA's Equity-to-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 Annual Data
Trend
Jan15
Jan16
Jan17
Jan18
Jan19
Jan20
Jan21
Jan22
Jan23
Jan24
Equity-to-Asset
0.71
0.59
0.60
0.54
0.65
NVIDIA Quarterly Data
Apr19
Jul19
Oct19
Jan20
Apr20
Jul20
Oct20
Jan21
Apr21
Jul21
Oct21
Jan22
Apr22
Jul22
Oct22
Jan23
Apr23
Jul23
Oct23
Jan24
Equity-to-Asset
0.54
0.55
0.56
0.61
0.65
Competitive Comparison
For the Semiconductors subindustry, NVIDIA's Equity-to-Asset, along with its competitors' market caps and Equity-to-Asset data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
NVIDIA Equity-to-Asset Distribution
For the Semiconductors industry and Technology sector, NVIDIA's Equity-to-Asset distribution charts can be found below:
* The bar in red indicates where NVIDIA's Equity-to-Asset falls into.
NVIDIA Equity-to-Asset Calculation
Equity to Asset ratio measures the ratios of the portion of the asset owned by shareholders out of the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.
Equity to Asset ratio is calculated by dividing total stockholders equity by total asset.
NVIDIA's Equity to Asset Ratio for the fiscal year that ended in Jan. 2024 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.
NVIDIA (NAS:NVDA) Equity-to-Asset Explanation
Equity to Asset ratio can vary greatly across different industries, as they have different capital structure. A company with smaller Equity to Asset ratio (more leveraged) may have higher ROE % because of the leverage.
For banks, the required minimum Equity to Asset ratio by regulation is 5%. Some stronger banks may have Equity to Asset Ratio of more than 10%.
NVIDIA Equity-to-Asset Related Terms
Thank you for viewing the detailed overview of NVIDIA's Equity-to-Asset provided by GuruFocus.com. Please click on the following links to see related term pages.
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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