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Meta Data (Meta Data) Asset Turnover : 0.34 (As of Aug. 2023)


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What is Meta Data Asset Turnover?

Asset Turnover measures how quickly a company turns over its asset through sales. It is calculated as Revenue divided by Total Assets. Meta Data's Revenue for the six months ended in Aug. 2023 was $30.55 Mil. Meta Data's Total Assets for the quarter that ended in Aug. 2023 was $91.03 Mil. Therefore, Meta Data's Asset Turnover for the quarter that ended in Aug. 2023 was 0.34.

Asset Turnover is linked to ROE % through Du Pont Formula. Meta Data's annualized ROE % for the quarter that ended in Aug. 2023 was -6,164.75%. It is also linked to ROA % through Du Pont Formula. Meta Data's annualized ROA % for the quarter that ended in Aug. 2023 was 1,656.29%.


Meta Data Asset Turnover Historical Data

The historical data trend for Meta Data's Asset Turnover 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 Asset Turnover Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
Asset Turnover
Get a 7-Day Free Trial Premium Member Only 0.76 - - 0.03 0.38

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
Asset Turnover 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 -0.43 - 0.04 0.03 0.34

Competitive Comparison of Meta Data's Asset Turnover

For the Education & Training Services subindustry, Meta Data's Asset Turnover, along with its competitors' market caps and Asset Turnover 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 Asset Turnover Distribution in the Education Industry

For the Education industry and Consumer Defensive sector, Meta Data's Asset Turnover distribution charts can be found below:

* The bar in red indicates where Meta Data's Asset Turnover falls into.



Meta Data Asset Turnover Calculation

Asset Turnover measures how quickly a company turns over its asset through sales.

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

Asset Turnover
=Revenue/Average Total Assets
=Revenue (A: Aug. 2023 )/( (Total Assets (A: Aug. 2022 )+Total Assets (A: Aug. 2023 ))/ count )
=32.426/( (49.58+121.144)/ 2 )
=32.426/85.362
=0.38

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

Asset Turnover
=Revenue/Average Total Assets
=Revenue (Q: Aug. 2023 )/( (Total Assets (Q: Feb. 2023 )+Total Assets (Q: Aug. 2023 ))/ count )
=30.554/( (60.915+121.144)/ 2 )
=30.554/91.0295
=0.34

* 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.

Companies with low profit margins tend to have high Asset Turnover, while those with high profit margins have low Asset Turnover. Companies in the retail industry tend to have a very high turnover ratio.


Meta Data  (NYSE:AIU) Asset Turnover Explanation

Asset Turnover is linked to ROE % through Du Pont Formula.

Meta Data's annulized ROE % for the quarter that ended in Aug. 2023 is

ROE %**(Q: Aug. 2023 )
=Net Income/Total Stockholders Equity
=1507.714/-24.457
=(Net Income / Revenue)*(Revenue / Total Assets)*(Total Assets / Total Stockholders Equity)
=(1507.714 / 61.108)*(61.108 / 91.0295)*(91.0295/ -24.457)
=Net Margin %*Asset Turnover*Equity Multiplier
=2467.29 %*0.6713*-3.722
=ROA %*Equity Multiplier
=1,656.29 %*-3.722
=-6,164.75 %

Note: The Net Income data used here is two times the semi-annual (Aug. 2023) net income data. The Revenue data used here is two times the semi-annual (Aug. 2023) revenue 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.

** The ROE % used above is for Du Pont Analysis only. It is different from the defined ROE % page on our website, as here it uses Net Income instead of Net Income attributable to Common Stockholders in the calculation.

It is also linked to ROA % through Du Pont Formula:

Meta Data's annulized ROA % for the quarter that ended in Aug. 2023 is

ROA %(Q: Aug. 2023 )
=Net Income/Total Assets
=1507.714/91.0295
=(Net Income / Revenue)*(Revenue / Total Assets)
=(1507.714 / 61.108)*(61.108 / 91.0295)
=Net Margin %*Asset Turnover
=2467.29 %*0.6713
=1,656.29 %

Note: The Net Income data used here is two times the semi-annual (Aug. 2023) net income data. The Revenue data used here is two times the semi-annual (Aug. 2023) revenue 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.


Be Aware

In the article Joining The Dark Side: Pirates, Spies and Short Sellers, James Montier reported that In their US sample covering the period 1968-2003, Cooper et al find that firms with low asset growth outperformed firms with high asset growth by an astounding 20% p.a. equally weighted. Even when controlling for market, size and style, low asset growth firms outperformed high asset growth firms by 13% p.a. Therefore a company with fast asset growth may underperform.

Therefore, it is a good sign if a company's Asset Turnover is consistent or even increases. If a company's asset grows faster than sales, its Asset Turnover will decline, which can be a warning sign.


Meta Data Asset Turnover Related Terms

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