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GlobalData (LSE:DATA) Inventories, Work In Process : £0.0 Mil (As of Dec. 2023)


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What is GlobalData Inventories, Work In Process?

Work in process is the part of a manufacturer's inventory that is in the production process and has not yet been completed and transferred to the finished goods inventory. GlobalData's work in process for the quarter that ended in Dec. 2023 was £0.0 Mil.


GlobalData Inventories, Work In Process Historical Data

The historical data trend for GlobalData's Inventories, Work In Process 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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GlobalData Inventories, Work In Process Chart

GlobalData Annual Data
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Inventories, Work In Process
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GlobalData Semi-Annual Data
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GlobalData Inventories, Work In Process Calculation

That part of a manufacturer's inventory that is in the production process and has not yet been completed and transferred to the finished goods inventory. This account contains the cost of the direct material, direct labor, and factory overhead placed into the products on the factory floor. A manufacturer must disclose in its financial statements the cost of its work-in-process as well as the cost of finished goods and materials on hand.


GlobalData (LSE:DATA) Business Description

Traded in Other Exchanges
Address
John Carpenter Street, John Carpenter House, London, GBR, EC4Y 0AN
GlobalData PLC is a UK-based data analyzing and publishing company. The firm conducts industry analysis and research reports and also provides forecasts to help its clients make informed decisions. The company has spread across the Asia Pacific, EMEA, Latin and North America serving clients from the consumer, information communications technology, and healthcare markets. The Group operates within a single segment, data, analytics, and insights.