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Meta Data (Meta Data) EV-to-EBITDA

: 1.89 (As of Today)
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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 $27.11 Mil. Meta Data's EBITDA for the trailing twelve months (TTM) ended in Aug. 2023 was $14.35 Mil. Therefore, Meta Data's EV-to-EBITDA for today is 1.89.

The historical rank and industry rank for Meta Data's EV-to-EBITDA or its related term are showing as below:

AIU' s EV-to-EBITDA Range Over the Past 10 Years
Min: -1.51   Med: 5.48   Max: 39.14
Current: 1.89

During the past 9 years, the highest EV-to-EBITDA of Meta Data was 39.14. The lowest was -1.51. And the median was 5.48.

AIU's EV-to-EBITDA is ranked better than
90.19% of 214 companies
in the Education industry
Industry Median: 9.3 vs AIU: 1.89

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.

As of today (2024-04-23), Meta Data's stock price is $0.5852. Meta Data's Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in Aug. 2023 was $15.920. Therefore, Meta Data's PE Ratio for today is 0.04.

The "classic" EV-to-EBITDA is much better in capturing debt and net cash than the PE Ratio.


Meta Data EV-to-EBITDA Historical Data

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.

* Premium members only.

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
EV-to-EBITDA
Get a 7-Day Free Trial Premium Member Only 15.43 -50.68 -18.93 -1.51 4.43

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
EV-to-EBITDA Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -18.93 - -1.51 - 4.43

Competitive 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 Distribution

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 EV-to-EBITDA Calculation

Meta Data's EV-to-EBITDA for today is calculated as:

EV-to-EBITDA=Enterprise Value (Today)/EBITDA (TTM)
=27.114/14.352
=1.89

Meta Data's current Enterprise Value is $27.11 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 $14.35 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  (NYSE:AIU) 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 to determine the fair market value of a company.

Meta Data's PE Ratio for today is calculated as:

PE Ratio=Share Price (Today)/Earnings per Share (Diluted) (TTM)
=0.5852/15.920
=0.04

Meta Data's share price for today is $0.5852.
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 $15.920.

* 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.

Please read Which price ratio outperforms the enterprise multiple?


Meta Data EV-to-EBITDA Related Terms

Thank you for viewing the detailed overview of Meta Data's EV-to-EBITDA provided by GuruFocus.com. Please click on the following links to see related term pages.


Meta Data (Meta Data) Business Description

Traded in Other Exchanges
Address
45-47 Au Pui Wan Street, Flat H 3/F, Haribest Industrial Building, Sha Tin New Territorie, Hong Kong, HKG
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.
Executives
Yiheng Capital, Llc 10 percent owner 101 CALIFORNIA STREET, SUITE 2880, San Francisco CA 94111