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Econavista (TSE:5585) Change In Inventory : 円0.0 Mil (TTM As of Jan. 2024)


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What is Econavista Change In Inventory?

Econavista's change in inventory for the quarter that ended in Jan. 2024 was 円0.0 Mil. It means Econavista's inventory stayed the same from Oct. 2023 to Jan. 2024 .

Econavista's change in inventory for the fiscal year that ended in Oct. 2023 was 円-30.6 Mil. It means Econavista's inventory increased by 円30.6 Mil from Oct. 2022 to Oct. 2023 .

Econavista's Total Inventories for the quarter that ended in Jan. 2024 was 円331.6 Mil.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Econavista's Days Inventory for the quarter that ended in Jan. 2024 was 260.84.

Inventory Turnover measures how fast the company turns over its inventory within a year. Econavista's Inventory Turnover for the quarter that ended in Jan. 2024 was 0.35.

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. Econavista's Inventory-to-Revenue for the quarter that ended in Jan. 2024 was 0.91.


Econavista Change In Inventory Historical Data

The historical data trend for Econavista'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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Econavista Change In Inventory Chart

Econavista Annual Data
Trend Oct21 Oct22 Oct23
Change In Inventory
-15.45 -221.96 -30.61

Econavista Quarterly Data
Oct21 Oct22 Apr23 Jul23 Oct23 Jan24
Change In Inventory Get a 7-Day Free Trial - - - - -

Econavista 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 Jan. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was 円0.0 Mil.

* 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.


Econavista  (TSE:5585) Change In Inventory Explanation

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

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

Days Inventory=Average Total Inventories/Cost of Goods Sold*Days in Period
=317.163/110.954*365 / 4
=260.84

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

Econavista's Inventory Turnover for the quarter that ended in Jan. 2024 is calculated as

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.

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

* 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.


Econavista Change In Inventory Related Terms

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Econavista (TSE:5585) Business Description

Traded in Other Exchanges
N/A
Address
3-1 Kioicho, KKD Building 6 Floor, Chiyoda-ku, Tokyo, JPN, 102-0094
Econavista Inc is engaged in the Development of AI for predicting health status transition through sleep analysis technology and its application to solve social challenges, such as its AI-backed services of Life Rhythm Navi. It automatically records your daily living conditions (life rhythm) and works with specialized medical institutions to visualize the signs of dementia and diseases that are common among the elderly (heat stroke, sleep disorders, etc.). It is a monitoring system to prevent sudden changes in physical conditions and accidents in preventive medicine.

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