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Meta Data (Meta Data) Inventory-to-Revenue : 0.00 (As of Aug. 2023)


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What is Meta Data Inventory-to-Revenue?

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Meta Data's Average Total Inventories for the quarter that ended in Aug. 2023 was $0.00 Mil. Meta Data's Revenue for the six months ended in Aug. 2023 was $30.55 Mil. Meta Data's Inventory-to-Revenue for the quarter that ended in Aug. 2023 was 0.00.

Meta Data's Inventory-to-Revenue for the quarter that ended in Aug. 2023 stayed the same from Feb. 2023 (0.00) to Feb. 2023 (0.00)

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Meta Data's Days Inventory for the six months ended in Aug. 2023 was 0.00.

Inventory Turnover measures how fast the company turns over its inventory within a year.


Meta Data Inventory-to-Revenue Historical Data

The historical data trend for Meta Data's Inventory-to-Revenue 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 Inventory-to-Revenue Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
Inventory-to-Revenue
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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
Inventory-to-Revenue 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 - - - - -

Competitive Comparison of Meta Data's Inventory-to-Revenue

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

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

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



Meta Data Inventory-to-Revenue Calculation

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

Meta Data's Inventory-to-Revenue for the fiscal year that ended in Aug. 2023 is calculated as

Inventory-to-Revenue (A: Aug. 2023 )
=Average Total Inventories / Revenue
=( (Total Inventories (A: Aug. 2022 ) + Total Inventories (A: Aug. 2023 )) / count ) / Revenue (A: Aug. 2023 )
=( (0 + 0) / 1 ) / 32.426
=0 / 32.426
=0.00

Meta Data's Inventory-to-Revenue for the quarter that ended in Aug. 2023 is calculated as

Inventory-to-Revenue (Q: Aug. 2023 )
=Average Total Inventories / Revenue
=( (Total Inventories (Q: Feb. 2023 ) + Total Inventories (Q: Aug. 2023 )) / count ) / Revenue (Q: Aug. 2023 )
=( (0 + 0) / 1 ) / 30.554
=0 / 30.554
=0.00

* 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) Inventory-to-Revenue Explanation

An increase in Inventory-to-Revenue from one quarter to the next indicates that one of the following is happening:

1. investment in inventory is growing more rapidly than revenue
2. revenue are dropping
No matter which situation is causing the problem, an increase in the Inventory-to-Revenue may signal an oncoming cash flow problem.

Likewise, a decrease in the Inventory-to-Revenue from one quarter to next indicates that one of these is occurring:

1. investment in inventory is shrinking in relation to revenue
2. revenue are increasing
No matter which situation is causing the reduction in the Inventory-to-Revenue, either one suggests that business's inventory levels and its cash flow are effectively managed.

More Related Terms:

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Meta Data's Days Inventory for the six months ended in Aug. 2023 is calculated as:

Days Inventory=Average Total Inventories (Q: Aug. 2023 )/Cost of Goods Sold (Q: Aug. 2023 )*Days in Period
=0/15.973*365 / 2
=0.00

2. Inventory Turnover measures how fast the company turns over its inventory within a year.

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

Inventory Turnover=Cost of Goods Sold (Q: Aug. 2023 ) / Average Total Inventories (Q: Aug. 2023 )
=15.973 / 0
=

* 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 Inventory-to-Revenue Related Terms

Thank you for viewing the detailed overview of Meta Data's Inventory-to-Revenue 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