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Meta Data (Meta Data) Cost of Goods Sold : $17.01 Mil (TTM As of Aug. 2023)


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What is Meta Data Cost of Goods Sold?

Meta Data's cost of goods sold for the six months ended in Aug. 2023 was $15.97 Mil. Its cost of goods sold for the trailing twelve months (TTM) ended in Aug. 2023 was $17.01 Mil.

Cost of Goods Sold is directly linked to profitability of the company through Gross Margin. Meta Data's Gross Margin % for the six months ended in Aug. 2023 was 47.72%.

Cost of Goods Sold is also directly linked to Inventory Turnover.


Meta Data Cost of Goods Sold Historical Data

The historical data trend for Meta Data's Cost of Goods Sold 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 Cost of Goods Sold Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
Cost of Goods Sold
Get a 7-Day Free Trial Premium Member Only 289.99 - - 1.86 17.01

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
Cost of Goods Sold 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 -157.61 - 1.86 1.03 15.97

Meta Data Cost of Goods Sold Calculation

Cost of Goods Sold is the aggregate cost of goods produced and sold, and services rendered during the reporting period. It excludes Total Operating Expense, such as Depreciation, Depletion and Amortization and Selling, General, & Admin. Expense.

Cost of Goods Sold for the trailing twelve months (TTM) ended in Aug. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which was $17.01 Mil.

* 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) Cost of Goods Sold Explanation

Cost of Goods Sold is directly linked to profitability of the company through Gross Margin.

Meta Data's Gross Margin % for the six months ended in Aug. 2023 is calculated as:

Gross Margin %=(Revenue - Cost of Goods Sold) / Revenue
=(30.554 - 15.973) / 30.554
=47.72 %

* 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.

A company that has a moat can usually maintain or even expand their Gross Margin. A company can increase its Gross Margin in two ways. It can increase the prices of the goods it sells and keeps its Cost of Goods Sold unchanged. Or it can keep the sales price unchanged and squeeze its suppliers to reduce the Cost of Goods Sold. Warren Buffett believes businesses with the power to raise prices have moats.

Cost of Goods Sold is also directly linked to another concept called Inventory Turnover:

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

* 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.

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.

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 Cost of Goods Sold 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