Polaris AI (XKRX:039980) Change In Inventory : ₩5,379 Mil (TTM As of Jun. 2024)

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What is Polaris AI Change In Inventory?

Polaris AI's change in inventory for the quarter that ended in Jun. 2024 was ₩-228 Mil. It means Polaris AI's inventory increased by ₩228 Mil from Mar. 2024 to Jun. 2024 .

Polaris AI's change in inventory for the fiscal year that ended in Dec. 2023 was ₩7,930 Mil. It means Polaris AI's inventory declined by ₩7,930 Mil from Dec. 2022 to Dec. 2023 .

Polaris AI's Total Inventories for the quarter that ended in Jun. 2024 was ₩17,396 Mil.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Polaris AI's Days Inventory for the quarter that ended in Jun. 2024 was 203.76.

Inventory Turnover measures how fast the company turns over its inventory within a year. Polaris AI's Inventory Turnover for the quarter that ended in Jun. 2024 was 0.45.

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. Polaris AI's Inventory-to-Revenue for the quarter that ended in Jun. 2024 was 1.41.

Polaris AI Change In Inventory Historical Data

The historical data trend for Polaris AI's Change In Inventory 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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Polaris AI Change In Inventory Chart

Polaris AI Annual Data

Trend

Dec14

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Dec16

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Dec19

Dec20

Dec21

Dec22

Dec23

Change In Inventory

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-1,939.96

6,470.36

-131.77

11,615.48

7,930.25

Polaris AI Quarterly Data
	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24
Change In Inventory	Get a 7-Day Free Trial															2,893.68	-939.61	3,527.79	3,018.51	-227.65

Polaris AI Change In Inventory Calculation

Change In Inventory is the difference between last period's ending inventory and the current period's ending inventory.

Change In Inventory for the trailing twelve months (TTM) ended in Jun. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was ₩5,379 Mil.

Polaris AI (XKRX:039980) Change In Inventory Explanation

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

Polaris AI's Days Inventory for the quarter that ended in is calculated as:

Days Inventory	=	Average Total Inventories	/	Cost of Goods Sold	*	Days in Period
	=	17262.4305	/	7730.505	*	365 / 4
	=	203.76

2. Inventory Turnover measures how fast the company turns over its inventory within a year.

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

Inventory Turnover	=	Cost of Goods Sold	/	Average Total Inventories
	=	7730.505	/	17262.4305
	=	0.45

3. 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.

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

Inventory-to-Revenue	=	Average Total Inventories	/	Revenue
	=	17262.4305	/	12240.363
	=	1.41

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Polaris AI Business Description

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Address

KIRA Building, 2 and 6 Floors, 317, Hyoryeon-ro, Seocho-gu, Seoul, KOR, 137-877

Website

http://www.leenos.co.kr

Leenos Corp engages in the service, manufacturing, construction, and wholesale/retail businesses in South Korea. It offers IT solutions, including integrated control systems, intelligent transport systems, and Internet of Things; system integration solutions, such as system construction, IT consulting, and integrated maintenance services; IT services comprising financial IT and radio communication services; and radio communication solutions, such as disaster safety and network train radio communications.

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