ONEI (OneMeta) Inventory Turnover : 0.00 (As of Jun. 2024)

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What is OneMeta 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. OneMeta's Cost of Goods Sold for the three months ended in Jun. 2024 was $0.00 Mil. OneMeta's Average Total Inventories for the quarter that ended in Jun. 2024 was $0.00 Mil.

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

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. OneMeta's Inventory-to-Revenue for the quarter that ended in Jun. 2024 was 0.00.

OneMeta Inventory Turnover Historical Data

The historical data trend for OneMeta'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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OneMeta Inventory Turnover Chart

OneMeta Annual Data

Trend

Dec06

Dec07

Dec08

Dec09

Dec10

Dec11

Dec12

Dec13

Dec22

Dec23

Inventory Turnover

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OneMeta Quarterly Data
	Jun11	Sep11	Dec11	Mar12	Jun12	Sep12	Dec12	Mar13	Jun13	Sep13	Dec13	Mar14	Jun14	Sep14	Dec22	Mar23	Jun23	Dec23	Mar24	Jun24
Inventory Turnover	Get a 7-Day Free Trial															-	-	-	-	-

OneMeta Inventory Turnover Calculation

OneMeta's Inventory Turnover for the fiscal year that ended in Dec. 2023 is calculated as

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

OneMeta's Inventory Turnover for the quarter that ended in Jun. 2024 is calculated as

	Inventory Turnover (Q: Jun. 2024 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (Q: Jun. 2024 )	/ (	(Total Inventories (Q: Mar. 2024 )	+	Total Inventories (Q: Jun. 2024 ))	/	count )
=	0	/ (	(0	+	0)	/	1 )
=	0	/	0
=	N/A

OneMeta (OTCPK:ONEI) 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.

OneMeta's Days Inventory for the three months ended in Jun. 2024 is calculated as:

Days Inventory	=	Average Total Inventories (Q: Jun. 2024 )	/	Cost of Goods Sold (Q: Jun. 2024 )	*	Days in Period
	=	0	/	0	*	365 / 4
	=

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.

OneMeta's Inventory to Revenue for the quarter that ended in Jun. 2024 is calculated as

Inventory-to-Revenue	=	Average Total Inventories (Q: Jun. 2024 )	/	Revenue (Q: Jun. 2024 )
	=	0	/	0.005
	=	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.

OneMeta Inventory Turnover Related Terms

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OneMeta Business Description

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Address

450 South 400 East, Suite 200, Bountiful, UT, USA, 84010

Website

https://www.onemeta.ai

OneMeta Inc operates to develop artificial intelligence products that enable companies and individuals to reach their highest potential by eliminating language barriers in daily communications by providing high-quality, accurate, and efficient interpretation and translation services using natural language processing (NLP) technology. The company's focus is on developing a proprietary architecture that is faster and more accurate than any other company, with a commitment to providing superior quality services to its customers. It intends to serve a wide variety of markets and customers and will be focused on becoming a leader in the creation of pragmatic products for the interpretation and translation industry.