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Meta Data (Meta Data) Debt-to-EBITDA : 3.78 (As of Aug. 2023)


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What is Meta Data Debt-to-EBITDA?

Debt-to-EBITDA measures a company's ability to pay off its debt.

Meta Data's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Aug. 2023 was $101.97 Mil. Meta Data's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Aug. 2023 was $1.21 Mil. Meta Data's annualized EBITDA for the quarter that ended in Aug. 2023 was $27.29 Mil. Meta Data's annualized Debt-to-EBITDA for the quarter that ended in Aug. 2023 was 3.78.

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt. According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.

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

AIU' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -27.84   Med: 0.01   Max: 7.19
Current: 7.19

During the past 9 years, the highest Debt-to-EBITDA Ratio of Meta Data was 7.19. The lowest was -27.84. And the median was 0.01.

AIU's Debt-to-EBITDA is ranked worse than
85.79% of 183 companies
in the Education industry
Industry Median: 1.89 vs AIU: 7.19

Meta Data Debt-to-EBITDA Historical Data

The historical data trend for Meta Data's Debt-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 Debt-to-EBITDA Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only 3.02 -27.84 -10.68 -1.90 7.18

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
Debt-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 1.41 -5.50 -1.14 72.58 3.78

Competitive Comparison of Meta Data's Debt-to-EBITDA

For the Education & Training Services subindustry, Meta Data's Debt-to-EBITDA, along with its competitors' market caps and Debt-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's Debt-to-EBITDA Distribution in the Education Industry

For the Education industry and Consumer Defensive sector, Meta Data's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Meta Data's Debt-to-EBITDA falls into.



Meta Data Debt-to-EBITDA Calculation

Debt-to-EBITDA measures a company's ability to pay off its debt.

Meta Data's Debt-to-EBITDA for the fiscal year that ended in Aug. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(101.969 + 1.212) / 14.362
=7.18

Meta Data's annualized Debt-to-EBITDA for the quarter that ended in Aug. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(101.969 + 1.212) / 27.288
=3.78

* 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.

In the calculation of annual Debt-to-EBITDA, the EBITDA of the last fiscal year is used. In calculating the annualized quarterly data, the EBITDA data used here is two times the quarterly (Aug. 2023) EBITDA data.


Meta Data  (NYSE:AIU) Debt-to-EBITDA Explanation

In the calculation of Debt-to-EBITDA, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by EBITDA. In some calculations, Total Liabilities is used to for calculation.


Be Aware

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt.

According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.


Meta Data Debt-to-EBITDA Related Terms

Thank you for viewing the detailed overview of Meta Data's Debt-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