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Meta Data (Meta Data) EBITDA per Share

: $0.28 (TTM As of Aug. 2023)
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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.

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

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.

AIU's 3-Year EBITDA Growth Rate is not ranked *
in the Education industry.
Industry Median: 9
* Ranked among companies with meaningful 3-Year EBITDA Growth Rate only.

Meta Data's EBITDA for the six months ended in Aug. 2023 was $13.64 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 EBITDA per Share Historical Data

The historical data trend for Meta Data's EBITDA per Share 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 per Share
Get a 7-Day Free Trial Premium Member Only 11.53 -3.05 -1.37 -4.80 0.33

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
EBITDA per Share 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 5.18 -2.29 -3.02 0.02 0.27

Meta Data EBITDA per Share Calculation

EBITDA per Share is the amount of Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) per outstanding share of the company's stock.

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 per Share for the fiscal year that ended in Aug. 2023 is calculated as

EBITDA per Share(A: Aug. 2023 )
=EBITDA/Shares Outstanding (Diluted Average)
=14.362/43.647
=0.33

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

EBITDA per Share(Q: Aug. 2023 )
=EBITDA/Shares Outstanding (Diluted Average)
=13.644/51.395
=0.27

EBITDA per Share 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 $0.28

* 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) EBITDA per Share Explanation

EBITDA is a cash flow measure that ignores changes in working capital. EBITDA minus Depreciation, and Amortization (DA) equals EBIT. EBIT 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.


Meta Data EBITDA per Share Related Terms

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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