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EV-to-EBITDA is calculated as enterprise value divided by its EBITDA. As of today, Meta Data's enterprise value is €58.81 Mil.
Meta Data's EBITDA for the trailing twelve months (TTM) ended in Aug. 2023 was €13.17 Mil. Therefore, Meta Data's EV-to-EBITDA for today is 4.46.
The historical rank and industry rank for Meta Data's EV-to-EBITDA or its related term are showing as below:
STU:OSM's EV-to-EBITDA is not ranked *
in the Education industry.
Industry Median: 6.75 * Ranked among companies with meaningful EV-to-EBITDA only.
EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.
The "classic" EV-to-EBITDA is much better in capturing debt and net cash than the PE Ratio (TTM).
Meta Data (STU:OSM) EV-to-EBITDA Explanation
EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio (TTM) to determine the fair market value of a company.
Meta Data's share price for today is €1.91.
For company reported semi-annually, GuruFocus uses latest annual data as the TTM data. Meta Data's Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in Aug. 2023 was €72.871.
* 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.
Study has found that the companies with the lowest EV-to-EBITDA outperforms companies measured as cheap by other ratios such as PE Ratio (TTM).
The historical data trend for Meta Data's EV-to-EBITDA 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: EV-to-EBITDA Comparison
For the Education & Training Services subindustry, Meta Data's EV-to-EBITDA, along with its competitors' market caps and EV-to-EBITDA 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 EV-to-EBITDA vs Education Industry
For the Education industry and Consumer Defensive sector, Meta Data's EV-to-EBITDA distribution charts can be found below:
* The bar in red indicates where Meta Data's EV-to-EBITDA falls into.
Meta Data's current Enterprise Value is €58.81 Mil.
For company reported semi-annually, GuruFocus uses latest annual data as the TTM data. Meta Data's EBITDA for the trailing twelve months (TTM) ended in Aug. 2023 was €13.17 Mil.
* 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 EV-to-EBITDA of 4.46 as of Jul. 25, 2026. EV to EBITDA ratio is the company's enterprise value divided by earnings before interest, taxes, depreciation and amortization. View historical data on Meta Data.
Is Meta Data's EV-to-EBITDA too high?
Meta Data's current EV-to-EBITDA is 4.46. The Education industry median EV-to-EBITDA is 6.75. Meta Data's value of 4.46 is 33.9% below this industry median. 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 EV-to-EBITDA compare to EDU and TAL?
Meta Data's EV-to-EBITDA of 4.46 can be compared against companies in the Education industry. The industry median EV-to-EBITDA is 6.75. Meta Data's value of 4.46 is 33.9% below this benchmark. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good EV-to-EBITDA for an Education company?
The median EV-to-EBITDA among Education companies is 6.75, based on 209 companies in the industry. Companies in the top quartile (top 25%) have a EV-to-EBITDA significantly above this median, while those in the bottom quartile fall well below. However, EV-to-EBITDA should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Meta Data's current EV-to-EBITDA of 4.46 is 33.9% below the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high EV-to-EBITDA mean?
A high EV-to-EBITDA can signal that a stock is expensive relative to its fundamentals. EV to EBITDA ratio is the company's enterprise value divided by earnings before interest, taxes, depreciation and amortization. View historical data on Meta Data. For the Education industry, the median EV-to-EBITDA is 6.75 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Meta Data's current EV-to-EBITDA is 4.46. 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 EV-to-EBITDA of 4.46. The current EV-to-EBITDA is 4.46 and 33.9% below the Education industry median of 6.75. 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 EV-to-EBITDA calculated?
EV-to-EBITDA is calculated from a company's financial statements. For Meta Data (STU:OSM), the current EV-to-EBITDA is 4.46 as of Jul. 25, 2026. 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.
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