Focused on building reliable datasets, financial models, and research tools for value-minded investors. Committed to turning complex data into practical guidance for value-investing and long-term wealth.
Dr. Charlie Tian is the founder and CEO of GuruFocus.com, a leading global investment research platform established in 2004. With a Ph.D. in physics, Dr. Tian transitioned from science to finance, applying a data-driven, disciplined approach to value investing.
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. Meta Data's Total Liabilities for the quarter that ended in Aug. 2023 was €106.69 Mil. Meta Data's Total Assets for the quarter that ended in Aug. 2023 was €111.09 Mil.
Therefore, Meta Data's Liabilities-to-Assets Ratio for the quarter that ended in Aug. 2023 was 0.96.
Meta Data (STU:OSM) 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.
Meta Data Liabilities-to-Assets Related Terms
Meta Data Liabilities-to-Assets Historical Data
* Premium members only.
The historical data trend for Meta Data'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.
STU:OSM vs EDU, TAL, LOPE: Liabilities-to-Assets Comparison
For the Education & Training Services subindustry, Meta Data'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.
Meta Data Liabilities-to-Assets vs Education Industry
For the Education industry and Consumer Defensive sector, Meta Data's Liabilities-to-Assets distribution charts can be found below:
* The bar in red indicates where Meta Data'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.
Meta Data's Liabilities-to-Assets Ratio for the fiscal year that ended in Aug. 2023 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.
Meta Data (STU:OSM) has a Liabilities-to-Assets of 0.96 as of Aug. 2023. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on Meta Data and its competitors.
Is Meta Data's Liabilities-to-Assets too high?
Meta Data's current Liabilities-to-Assets is 0.96. Overall, Meta Data has a GF Score™ of 10/100, reflecting its overall financial health beyond just this single metric.
How does Meta Data's Liabilities-to-Assets compare to EDU and TAL?
Meta Data's Liabilities-to-Assets of 0.96 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 Meta Data and its competitors. Meta Data's current Liabilities-to-Assets is 0.96. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Meta Data stock overvalued right now?
Meta Data (STU:OSM) has a current Liabilities-to-Assets of 0.96. The current Liabilities-to-Assets is 0.96. Meta Data's overall GF Score™ is 10/100. 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 Meta Data (STU:OSM), the current Liabilities-to-Assets is 0.96 as of Aug. 2023. 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.
Meta Data Ltd is engaged in artificial intelligent education service (AIE) and artificial intelligent universe (AIU) IAAS service. AIE is to build an intelligent training system based on intelligent training plat-from to provide the maximum immersive experience and the technical foundation for learning, and implementation in RT3D with 360-degree landscape. AIU IAAS service provides software & hardware infrastructure (IAAS) to Metaverse business operator or individual users. Company classified business segment into Artificial Intelligent Education (AIE) service and Artificial Intelligent Universe (AIU) IAAS service. The company generates all of its revenue in the PRC.
10GF Score
Get the complete analysis for STU:OSM
Liabilities-to-Assets is just one metric. See GF Value™, 30-year financials, guru trades, warning signs, and more.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
STU:OSM has been successfully added to your 
