IPH (FRA:1IP) Inventory Turnover : 0.00 (As of Dec. 2024)

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What is IPH 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. IPH's Cost of Goods Sold for the six months ended in Dec. 2024 was €0.0 Mil. IPH's Average Total Inventories for the quarter that ended in Dec. 2024 was €0.0 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. IPH's Inventory-to-Revenue for the quarter that ended in Dec. 2024 was 0.00.

IPH Inventory Turnover Historical Data

The historical data trend for IPH'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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IPH Inventory Turnover Chart

IPH Annual Data

Trend

Jun15

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Jun17

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Jun24

Inventory Turnover

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IPH Semi-Annual Data
	Jun15	Dec15	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24	Dec24
Inventory Turnover	Get a 7-Day Free Trial															-	-	-	-	-

IPH Inventory Turnover Calculation

IPH's Inventory Turnover for the fiscal year that ended in Jun. 2024 is calculated as

	Inventory Turnover (A: Jun. 2024 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (A: Jun. 2024 )	/ (	(Total Inventories (A: Jun. 2023 )	+	Total Inventories (A: Jun. 2024 ))	/	count )
=	0	/ (	(0	+	0)	/	1 )
=	0	/	0
=	N/A

IPH's Inventory Turnover for the quarter that ended in Dec. 2024 is calculated as

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

IPH (FRA:1IP) 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.

IPH's Days Inventory for the six months ended in Dec. 2024 is calculated as:

Days Inventory	=	Average Total Inventories (Q: Dec. 2024 )	/	Cost of Goods Sold (Q: Dec. 2024 )	*	Days in Period
	=	0	/	0	*	365 / 2
	=

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.

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

Inventory-to-Revenue	=	Average Total Inventories (Q: Dec. 2024 )	/	Revenue (Q: Dec. 2024 )
	=	0	/	206.604
	=	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.

IPH Inventory Turnover Related Terms

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IPH Business Description

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IPH:Australia

Address

201 Sussex Street, Level 24, Tower 2, Darling Park, Sydney, NSW, AUS, 2000

Website

https://www.iphltd.com.au

IPH provides intellectual property services through its subsidiaries: Spruson and Ferguson, Smart & Biggar, Robic, Pizzeys, Griffith Hack, Applied Marks, and AJ Park. These services include patent filing, prosecution, enforcement, management, design, trademarks, and more. The company's diverse client base consists of multinationals, public sector research organizations, and local businesses across various industries like healthcare, finance, engineering, and technology. Revenue streams mainly consist of professional fees (fixed) and volume-based fees (linked to the quantity of work performed). About 70% of revenue is derived from pre-existing work in the system, while 30% comes from new patent applications.

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