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


STU:OSM Meta Data Ltd STU:OSM
10 GF Score
Price €1.91
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What is Meta Data Inventory Turnover?

Meta Data STU:OSM 10 Inventory Turnover is 0.00 as of Aug. 2023. GuruFocus rates STU:OSM with a GF Score™ of 10/100.

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 €14.65 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  (STU:OSM) 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
=0/14.647*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 / 28.018
=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.

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

Meta Data Inventory Turnover Historical Data

* Premium members only.

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.

Meta Data Inventory Turnover Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only 0.00 0.00 0.00 0.00 0.00

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 Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.00 0.00 0.00 0.00 0.00
STU:OSM
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Meta Data Ltd STU:OSM
Inventory Turnover is just one metric. See GF Score™, valuation, warning signs, and more.
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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 )
=15.594 / ((0 + 0) / 1 )
=15.594 / 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 )
=14.647 / ((0 + 0) / 1 )
=14.647 / 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.

Frequently Asked Questions Learn more about Inventory Turnover →
What does a Inventory Turnover of 0.00 mean?
Meta Data (STU:OSM) has a Inventory Turnover of 0.00 as of Aug. 2023. Inventory turnover equals current-period cost of goods sold divided by average two-period total inventories. View historical data on Meta Data and its competitors.
Is Meta Data's Inventory Turnover too high?
Meta Data's current Inventory Turnover is 0.00. Overall, Meta Data has a GF Score™ of 10/100, reflecting its overall financial health beyond just this single metric.
How does Meta Data's Inventory Turnover compare to EDU and TAL?
Meta Data's Inventory Turnover of 0.00 can be compared against companies in the Education industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Inventory Turnover for an Education company?
A good Inventory Turnover depends on the Education industry context. However, Inventory Turnover should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Inventory Turnover mean?
A high Inventory Turnover can signal that a stock is expensive relative to its fundamentals. Inventory turnover equals current-period cost of goods sold divided by average two-period total inventories. View historical data on Meta Data and its competitors. Meta Data's current Inventory Turnover is 0.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Meta Data stock overvalued right now?
Meta Data (STU:OSM) has a current Inventory Turnover of 0.00. The current Inventory Turnover is 0.00. Meta Data's overall GF Score™ is 10/100. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Inventory Turnover calculated?
Inventory Turnover is calculated from a company's financial statements. For Meta Data (STU:OSM), the current Inventory Turnover is 0.00 as of Aug. 2023. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Meta Data Business Description

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.
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Inventory Turnover is just one metric. See GF Value™, 30-year financials, guru trades, warning signs, and more.

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