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Meta Data (Meta Data) EBITDA

: $14.35 Mil (TTM As of Aug. 2023)
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Meta Data's EBITDA for the six months ended in Aug. 2023 was $13.64 Mil. Its EBITDA for the trailing twelve months (TTM) ended in Aug. 2023 was $14.35 Mil.

Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the EBITDA Growth Rate using EBITDA data.

During the past 9 years, the highest 3-Year average EBITDA Growth Rate of Meta Data was 45.30% per year. The lowest was 18.30% per year. And the median was 31.80% per year.

Meta Data's EBITDA per Share for the six months ended in Aug. 2023 was $0.27. Its EBITDA per share for the trailing twelve months (TTM) ended in Aug. 2023 was $0.28.

Please click Growth Rate Calculation Example (GuruFocus) to see how GuruFocus calculates Wal-Mart Stores Inc (WMT)'s revenue growth rate. You can apply the same method to get the EBITDA per share growth rate using EBITDA per Share data.

During the past 9 years, the highest 3-Year average EBITDA per Share Growth Rate of Meta Data was 48.90% per year. The lowest was 13.30% per year. And the median was 31.10% per year.


Meta Data EBITDA Historical Data

The historical data trend for Meta Data's 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
EBITDA
Get a 7-Day Free Trial Premium Member Only 77.34 -19.67 -9.07 -53.17 14.36

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
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 34.28 -9.02 -44.15 0.71 13.64

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.


Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) is what the company earns before it expenses interest, taxes, depreciation and amortization.

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

Meta Data's EBITDA was directly provided by GuruFocus' data source Morningstar. For the fiscal year ended in Aug. 2023, Meta Data's EBITDA was $14.36 Mil.

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

Meta Data's EBITDA was directly provided by GuruFocus' data source Morningstar. For the quarter ended in Aug. 2023, Meta Data's EBITDA was $13.64 Mil.

EBITDA for the trailing twelve months (TTM) ended in Aug. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which 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.

Sometimes companies may have already deducted Depreciation and Amortization from Gross Profit. In this case Depreciation and Amortization needs to be added back when calculating EBITDA.

Meta Data  (NYSE:AIU) EBITDA Explanation

EBITDA is a cash flow measure that ignores changes in working capital. EBITDA minus Depreciation, and Amortization (DA) equals Operating Income. Operating Income is profit before interest and taxes. Of course, Interest and taxes need to be paid.

While depreciation and amortization expenses do not need to be paid in cash, assets - especially tangible assets - do need to be replaced over time. EBITDA is not a measure of profit in any sense. EBITDA is a measure of cash generation by a business where the uses of that cash may be more or less discretionary depending on the nature of the business.

The EBITDA of a TV station is largely discretionary. Owners may use much of the EBITDA generated by a TV station as they see fit. The EBITDA of a railroad is largely non-discretionary. Owners must use much of the EBITDA generated by a railroad to replace the physical assets of the railroad or the business will literally fall apart over time.

EBITDA can be thought of as the cash a business generates that is available to:

Add more inventory
Add more receivables
Replace property, plant, and equipment
Add more property, plant, and equipment
Pay interest
Pay taxes
And finally: pay owners

EBITDA is widely used in financial analysis because Depreciation and Amortization are not present day cash expenses.. Depreciation and amortization are the spreading out of the costs of assets over the time in which those assets provide benefits. Today's depreciation and amortization expenses relate to assets bought in the past. The assets being expensed may or may not need to be replaced in the future. And the cost to replace the assets may be more or less than it was in the past. For this reason, the depreciation and amortization expenses a company records in the present year may have no relationship to the actual cash costs needed to maintain its assets in future years.

A company's depreciation expense depends on both its expectations about the assets it owns and its choice of accounting methods. Two companies owning identical assets may have different depreciation expenses because they have different expectations about the useful lives of those assets and because they make different accounting choices.

Analysts use EBITDA to remove this element of personal choice from a company's accounting statements. The use of EBITDA is an attempt to make the results of different companies more comparable and uniform.


Be Aware

Although depreciation is not a cash cost it is a real business cost because the company has to pay for the fixed assets when they purchase them. Both Warren Buffett and Charlie Munger hate the idea of EBITDA because in this calculation, depreciation is not counted as an expense.

EBITDA over Revenue is a good metric for comparing the operating efficiencies between companies because EBITDA is less vulnerable to companies' accounting choices. For this reason, EBITDA is used in ranking the Predictability of Companies. Also Price-to-EBITDA is sometimes used in valuations.


Meta Data EBITDA Related Terms

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