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Meta Data (Meta Data) EBIT : $14.35 Mil (TTM As of Aug. 2023)


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What is Meta Data EBIT?

Meta Data's earnings before interest and taxes (EBIT) for the six months ended in Aug. 2023 was $13.64 Mil. Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Aug. 2023 was $14.35 Mil.

EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition. Meta Data's annualized ROC % for the quarter that ended in Aug. 2023 was 25.18%. Meta Data's annualized ROC (Joel Greenblatt) % for the quarter that ended in Aug. 2023 was 102,973.58%.

EBIT is also linked to Joel Greenblatt's definition of earnings yield. Meta Data's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Aug. 2023 was 69.61%.


Meta Data EBIT Historical Data

The historical data trend for Meta Data's EBIT 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 EBIT Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
EBIT
Get a 7-Day Free Trial Premium Member Only 52.72 -19.67 -9.07 -53.17 14.35

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
EBIT 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 of Meta Data's EBIT

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

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

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



Meta Data EBIT Calculation

EBIT, sometimes also called Earnings Before Interest and Taxes, is a measure of a firm's profit that includes all expenses except interest and income tax expenses. It is the difference between operating revenues and operating expenses. When a firm does not have non-operating income, then Operating Income is sometimes used as a synonym for EBIT and operating profit.

EBIT 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.


Meta Data  (NYSE:AIU) EBIT Explanation

1. EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.

Meta Data's annualized ROC % for the quarter that ended in Aug. 2023 is calculated as:

ROC % (Q: Aug. 2023 )
=NOPAT/Average Invested Capital
=Operating Income * ( 1 - Tax Rate % )/( (Invested Capital (Q: Feb. 2023 ) + Invested Capital (Q: Aug. 2023 ))/ count )
=25.784 * ( 1 - 0% )/( (102.786 + 101.993)/ 2 )
=25.784/102.3895
=25.18 %

where

Invested Capital(Q: Aug. 2023 )
=Total Assets - Accounts Payable & Accrued Expense - Excess Cash
=Total Assets - Accounts Payable & Accrued Expense - ( Cash, Cash Equivalents, Marketable Securities - max(0, Total Current Liabilities - Total Current Assets+Cash, Cash Equivalents, Marketable Securities))
=121.144 - 13.169 - ( 121.112 - max(0, 115.138 - 121.12+121.112))
=101.993

Note: The Operating Income data used here is two times the semi-annual (Aug. 2023) data.

2. Joel Greenblatt's definition of Return on Capital:

Meta Data's annualized ROC (Joel Greenblatt) % for the quarter that ended in Aug. 2023 is calculated as:

ROC (Joel Greenblatt) %(Q: Aug. 2023 )
=EBIT/Average of (Net fixed Assets + Net Working Capital)
=EBIT/Average of (Property, Plant and Equipment+Net Working Capital)
     Q: Feb. 2023  Q: Aug. 2023
=EBIT/( ( (Property, Plant and Equipment + Net Working Capital) + (Property, Plant and Equipment + Net Working Capital) )/ count )
=27.288/( ( (0.029 + max(-11.848, 0)) + (0.024 + max(-13.161, 0)) )/ 2 )
=27.288/( ( 0.029 + 0.024 )/ 2 )
=27.288/0.0265
=102,973.58 %

where Working Capital is:

Working Capital(Q: Feb. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0 + 0 + 0) - (11.848 + 0 + 0)
=-11.848

Working Capital(Q: Aug. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0 + 0 + 0.0080000000000098) - (13.169 + 0 + 1.4210854715202E-14)
=-13.161

When net working capital is negative, 0 is used.

Note: The EBIT data used here is two times the semi-annual (Aug. 2023) EBIT data.

3. It is also linked to Joel Greenblatt's definition of Earnings Yield:

Meta Data's Earnings Yield (Joel Greenblatt) % for today is calculated as:

Earnings Yield (Joel Greenblatt) %=EBIT (TTM)/Enterprise Value (Q: Aug. 2023 )
=14.352/20.618
=69.61 %

* 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 EBIT 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