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Meta Data (Meta Data) Receivables Turnover : 0.00 (As of Aug. 2023)


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What is Meta Data Receivables Turnover?

The Receivables Turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by average Accounts Receivable. An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. Meta Data's Revenue for the six months ended in Aug. 2023 was $30.55 Mil. Meta Data's average Accounts Receivable for the six months ended in Aug. 2023 was $0.00 Mil.


Meta Data Receivables Turnover Historical Data

The historical data trend for Meta Data's Receivables 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.

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Meta Data Receivables Turnover Chart

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

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

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

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



Meta Data Receivables Turnover Calculation

Receivables Turnover measures the number of times a company collects its average accounts receivable balance.

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

Receivables Turnover (A: Aug. 2023 )
=Revenue / Average Total Inventories
=Revenue (A: Aug. 2023 ) / ((Accounts Receivable (A: Aug. 2022 ) + Accounts Receivable (A: Aug. 2023 )) / count )
=32.426 / ((0 + 0) / 1 )
=32.426 / 0
=N/A

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

Receivables Turnover (Q: Aug. 2023 )
=Revenue / Average Total Inventories
=Revenue (Q: Aug. 2023 ) / ((Accounts Receivable (Q: Feb. 2023 ) + Accounts Receivable (Q: Aug. 2023 )) / count )
=30.554 / ((0 + 0) / 1 )
=30.554 / 0
=N/A

* 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) Receivables Turnover Explanation

An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. This metric is commonly used to compare companies within the same industry to check whether they are on par with their competitors.


Meta Data Receivables Turnover 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