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

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What is Meta Data Inventory Turnover?

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. Meta Data's Cost of Goods Sold for the six months ended in Aug. 2023 was $15.97 Mil. Meta Data's Average Total Inventories for the quarter that ended in Aug. 2023 was $0.00 Mil.

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-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 quarter that ended in Aug. 2023 was 0.00.

Meta Data Inventory Turnover Historical Data

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

Meta Data Annual Data

Trend

Aug15

Aug16

Aug17

Aug18

Aug19

Aug20

Aug21

Aug22

Aug23

Inventory 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
Inventory Turnover	Get a 7-Day Free Trial											-	-	-	-	-

Meta Data Inventory Turnover Calculation

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

	Inventory Turnover (A: Aug. 2023 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (A: Aug. 2023 )	/ (	(Total Inventories (A: Aug. 2022 )	+	Total Inventories (A: Aug. 2023 ))	/	count )
=	17.005	/ (	(0	+	0)	/	1 )
=	17.005	/	0
=	N/A

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

	Inventory Turnover (Q: Aug. 2023 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (Q: Aug. 2023 )	/ (	(Total Inventories (Q: Feb. 2023 )	+	Total Inventories (Q: Aug. 2023 ))	/	count )
=	15.973	/ (	(0	+	0)	/	1 )
=	15.973	/	0
=	N/A

Meta Data (NYSE:AIU) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

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-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 quarter that ended in Aug. 2023 is calculated as

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

Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.

Meta Data Inventory Turnover Related Terms

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Meta Data (Meta Data) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Consumer Defensive » Education » Meta Data Ltd (NYSE:AIU) » Definitions » Inventory Turnover

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Traded in Other Exchanges

OSM0:Germany

Address

45-47 Au Pui Wan Street, Flat H 3/F, Haribest Industrial Building, Sha Tin New Territorie, Hong Kong, HKG

Website

https://www.aiumeta.com

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