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Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities, calculated as total liabilities divided by total asset. VisionSys AI's Total Liabilities for the quarter that ended in Dec. 2025 was $0.54 Mil. VisionSys AI's Total Assets for the quarter that ended in Dec. 2025 was $15.13 Mil.
Therefore, VisionSys AI's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2025 was 0.04.
VisionSys AI (NAS:VSA) Liabilities-to-Assets Explanation
Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities. It can vary greatly across different industries, as they have different capital structure. A high Liabilities-to-Assets ratio (more leveraged) suggests that the company might have potential solvency problems, or even a signal of financial distress. Conversely, a low Liabilities-to-Assets ratio usually indicates a healthy financial situation. However, it may also suggest that the company is not expanding or not making good use of debt.
VisionSys AI Liabilities-to-Assets Related Terms
VisionSys AI Liabilities-to-Assets Historical Data
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The historical data trend for VisionSys AI's Liabilities-to-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.
VSA vs ASPU, WAFU, AMBO: Liabilities-to-Assets Comparison
For the Education & Training Services subindustry, VisionSys AI's Liabilities-to-Assets, along with its competitors' market caps and Liabilities-to-Assets 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.
VisionSys AI Liabilities-to-Assets vs Education Industry
For the Education industry and Consumer Defensive sector, VisionSys AI's Liabilities-to-Assets distribution charts can be found below:
* The bar in red indicates where VisionSys AI's Liabilities-to-Assets falls into.
Liabilities-to-Assets ratio measures the portion of the total liabilities to the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.
Liabilities-to-Assets ratio is calculated by dividing total liabilities by total asset.
VisionSys AI's Liabilities-to-Assets Ratio for the fiscal year that ended in Dec. 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.
VisionSys AI (VSA) has a Liabilities-to-Assets of 0.04 as of Dec. 2025. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on VisionSys AI and its competitors.
Is VisionSys AI's Liabilities-to-Assets too high?
VisionSys AI's current Liabilities-to-Assets is 0.04. Overall, VisionSys AI has a GF Score™ of 30/100, reflecting its overall financial health beyond just this single metric.
How does VisionSys AI's Liabilities-to-Assets compare to ASPU and WAFU?
VisionSys AI's Liabilities-to-Assets of 0.04 can be compared against companies in the Education industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Liabilities-to-Assets for an Education company?
A good Liabilities-to-Assets depends on the Education industry context. However, Liabilities-to-Assets should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Liabilities-to-Assets mean?
A high Liabilities-to-Assets can signal that a stock is expensive relative to its fundamentals. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on VisionSys AI and its competitors. VisionSys AI's current Liabilities-to-Assets is 0.04. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is VisionSys AI stock overvalued right now?
VisionSys AI (VSA) has a current Liabilities-to-Assets of 0.04. The current Liabilities-to-Assets is 0.04. VisionSys AI's overall GF Score™ is 30/100 with 6 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Liabilities-to-Assets calculated?
Liabilities-to-Assets is calculated from a company's financial statements. For VisionSys AI (VSA), the current Liabilities-to-Assets is 0.04 as of Dec. 2025. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
VisionSys AI Inc is focused on the development of the Brain-Computer Interface (BCI) technologies and related businesses. The business is centered on the development and application of core algorithms, as well as related software and hardware systems for brain-computer interaction to support service-based and product-based commercialization opportunities in general wellness, rehabilitation support, medical technology, AI-enabled signal decoding, EEG devices, and related application scenarios. Through these capabilities, the company is focused on developing, procuring, selling, and distributing BCI-enabled or BCI-adjacent products and solutions, and providing related technical services.
30GF Score
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