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Meta Data (STU:OSM0) ROCE % : 0.00% (As of Aug. 2023)


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What is Meta Data ROCE %?

ROCE % measures how well a company generates profits from its capital. It is calculated as EBIT divided by Capital Employed, where Capital Employed is calculated as Total Assets minus Total Current Liabilities. Meta Data's annualized ROCE % for the quarter that ended in Aug. 2023 was 0.00%.


Meta Data ROCE % Historical Data

The historical data trend for Meta Data's ROCE % 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 ROCE % Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
ROCE %
Get a 7-Day Free Trial Premium Member Only 17.81 -4.89 - - -

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
ROCE % 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 - - - - -

Meta Data ROCE % Calculation

Meta Data's annualized ROCE % for the fiscal year that ended in Aug. 2023 is calculated as:

ROCE %=EBIT/( (Capital Employed+Capital Employed)/ count )
(A: Aug. 2023 )  (A: Aug. 2022 )(A: Aug. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(A: Aug. 2023 )  (A: Aug. 2022 )(A: Aug. 2023 )
=13.161/( ( (48.935 - 785.686) + (111.089 - 105.582) )/ 2 )
=13.161/( (-736.751+5.507)/ 2 )
=13.161/-365.622
=-3.60 %

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

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Aug. 2023 )  (Q: Feb. 2023 )(Q: Aug. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Aug. 2023 )  (Q: Feb. 2023 )(Q: Aug. 2023 )
=25.024/( ( (56.895 - 107.041) + (111.089 - 105.582) )/ 2 )
=25.024/( ( -50.146 + 5.507 )/ 2 )
=25.024/-22.3195
=0 %

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

* 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  (STU:OSM0) ROCE % Explanation

ROCE % can be especially useful when comparing the performance of capital-intensive companies. Unlike ROE %, which indicates the profitability of Shareholders Equity, ROCE % also considers long-term debt in Capital Employed. This can be helpful when analyzing companies with significant debt, as the result is neutralized by taking debt into consideration.

Generally speaking, a higher ROCE % indicates a stonger profitability for a company. Moreover, it is important to look at the ratio from a long term perspective. Investors tend to favor companies with stable and rising ROCE % trend over those with volatile ones.


Meta Data ROCE % Related Terms

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Meta Data (STU:OSM0) 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.

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