Enlitic (ASX:ENL) Inventory Turnover : 0.00 (As of . 20)

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What is Enlitic 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. Enlitic's Cost of Goods Sold for the three months ended in . 20 was A$0.00 Mil. Enlitic's Average Total Inventories for the quarter that ended in . 20 was A$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.

Enlitic Inventory Turnover Historical Data

The historical data trend for Enlitic'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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Enlitic Inventory Turnover Chart

Enlitic Annual Data

Trend

Dec23

Inventory Turnover

Enlitic Quarterly Data
	Dec23
Inventory Turnover	-

Enlitic Inventory Turnover Calculation

Enlitic'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: . 20 )	+	Total Inventories (A: Dec. 2023 ))	/	count )
=	0	/ (	(	+	0)	/	1 )
=	0	/	0
=	N/A

Enlitic's Inventory Turnover for the quarter that ended in . 20 is calculated as

	Inventory Turnover (Q: . 20 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (Q: . 20 )	/ (	(Total Inventories (Q: . 20 )	+	Total Inventories (Q: . 20 ))	/	count )
=		/ (	(	+	)	/	1 )
=		/	0
=	N/A

Enlitic (ASX:ENL) 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.

Enlitic's Days Inventory for the three months ended in . 20 is calculated as:

Days Inventory	=	Average Total Inventories (Q: . 20 )	/	Cost of Goods Sold (Q: . 20 )	*	Days in Period
	=	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.

Enlitic's Inventory to Revenue for the quarter that ended in . 20 is calculated as

Inventory-to-Revenue	=	Average Total Inventories (Q: . 20 )	/	Revenue (Q: . 20 )
	=	0	/
	=

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.

Enlitic Inventory Turnover Related Terms

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Enlitic (ASX:ENL) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » Enlitic Inc (ASX:ENL) » Definitions » Inventory Turnover

Comparable Companies

Traded in Other Exchanges

N/A

Address

3420 East Harmony Road, Suite 125, Fort Collins, CO, USA, 80528

Website

https://www.enlitic.com

Enlitic Inc is focused on artificial intelligence that enables effective administration, processing, and sharing of medical imaging data throughout the healthcare enterprise. It is also focused on developing tools that solve longstanding challenges in radiology rather than developing point solutions that exacerbate the issues radiology faces. Enlitic provides a solid plan that addresses data inconsistencies and risk associated with moving studies containing PHI and is focused on using AI for the medical imaging layer of a real-world evidence (RWE), providing healthcare organizations with a stepwise approach to operationalizing their AI.

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