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Latent View Analytics (BOM:543398) Change In Inventory : ₹0 Mil (TTM As of Mar. 2024)


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What is Latent View Analytics Change In Inventory?

Latent View Analytics's change in inventory for the quarter that ended in Mar. 2024 was ₹0 Mil. It means Latent View Analytics's inventory stayed the same from Dec. 2023 to Mar. 2024 .

Latent View Analytics's change in inventory for the fiscal year that ended in Mar. 2024 was ₹0 Mil. It means Latent View Analytics's inventory stayed the same from Mar. 2023 to Mar. 2024 .

Latent View Analytics's Total Inventories for the quarter that ended in Mar. 2024 was ₹0 Mil.

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

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

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. Latent View Analytics's Inventory-to-Revenue for the quarter that ended in Mar. 2024 was 0.00.


Latent View Analytics Change In Inventory Historical Data

The historical data trend for Latent View Analytics'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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Latent View Analytics Change In Inventory Chart

Latent View Analytics Annual Data
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Latent View Analytics Quarterly Data
Mar19 Mar20 Jun20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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Latent View Analytics 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 Mar. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was ₹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.


Latent View Analytics  (BOM:543398) Change In Inventory Explanation

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

Latent View Analytics's Days Inventory for the quarter that ended in is calculated as:

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

Latent View Analytics's Inventory Turnover for the quarter that ended in Mar. 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.

Latent View Analytics's Inventory to Revenue for the quarter that ended in Mar. 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.


Latent View Analytics Change In Inventory Related Terms

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Latent View Analytics (BOM:543398) Business Description

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Address
5th Floor, Neville Tower, Unit 6,7 and 8, Ramanujan IT City, Rajiv Gandhi Salai, Taramani, Chennai, TN, IND, 600113
Latent View Analytics Ltd provides analytics services such as data and analytics consulting, business analytics and insights, advanced predictive analytics, data engineering, and digital solutions. The company provides services to blue-chip companies in Technology, BFSI, CPG & Retail, Industrials, and other industry domains.

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