The quick ratio measures a company's ability to meet its short-term obligations with its most liquid assets. It is calculated as a company's Total Current Assets excludes Total Inventories divides by its Total Current Liabilities. NVIDIA's quick ratio for the quarter that ended in Jan. 2025 was 3.88.
NVIDIA has a quick ratio of 3.88. It generally indicates good short-term financial strength.
The historical rank and industry rank for NVIDIA's Quick Ratio or its related term are showing as below:
NVDA'
s Quick Ratio Range Over the Past 10 Years
Min: 2.31 Med: 4.07 Max: 7.34
Current: 3.88
During the past 13 years, NVIDIA's highest Quick Ratio was 7.34. The lowest was 2.31. And the median was 4.07.
NVDA's Quick Ratio is ranked better than 76.41% of 1009
companies
in the Semiconductors industry
Industry Median: 1.88
vs NVDA: 3.88
NVIDIA Quick Ratio Historical Data
The historical data trend for NVIDIA's Quick Ratio 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.
For the Semiconductors subindustry, NVIDIA's Quick Ratio, along with its competitors' market caps and Quick Ratio 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's Quick Ratio Distribution in the Semiconductors Industry
For the Semiconductors industry and Technology sector, NVIDIA's Quick Ratio distribution charts can be found below:
* The bar in red indicates where NVIDIA's Quick Ratio falls into.
The quick ratio measures a company's ability to meet its short-term obligations with its most liquid assets. For this reason, the ratio excludes inventories from current assets.
NVIDIA's Quick Ratio for the fiscal year 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.
NVIDIA (NAS:NVDA) Quick Ratio Explanation
The quick ratio is more conservative than the Current Ratio because it excludes inventories from current assets. The ratio derives its name presumably from the fact that assets such as cash and marketable securities are quick sources of cash. Inventories generally take time to be converted into cash, and if they have to be sold quickly, the company may have to accept a lower price than book value of these inventories. As a result, they are justifiably excluded from assets that are ready sources of immediate cash.
In general, low or decreasing quick ratios generally suggest that a company is over-leveraged, struggling to maintain or grow sales, paying bills too quickly or collecting receivables too slowly. On the other hand, a high or increasing quick ratio generally indicates that a company is experiencing solid top-line growth, quickly converting receivables into cash, and easily able to cover its financial obligations. Such companies often have faster inventory turnover and cash conversion cycles.
The higher the quick ratio, the better the company's liquidity position.
NVIDIA Quick Ratio Related Terms
Thank you for viewing the detailed overview of NVIDIA's Quick Ratio provided by GuruFocus.com. Please click on the following links to see related term pages.
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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