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iLearningEngines (iLearningEngines) Inventories, Work In Process : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines 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. iLearningEngines's work in process for the quarter that ended in Jun. 2023 was $0.0 Mil.

iLearningEngines Inventories, Work In Process Historical Data

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

iLearningEngines Annual Data
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iLearningEngines Semi-Annual Data
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iLearningEngines 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.

iLearningEngines (iLearningEngines) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Inventories, Work In Process
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Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
Website
https://www.ilearningengines.com
iLearningEngines Inc is an AI and automation platform that empowers its customers to productize their institutional knowledge by transforming it into actionable intellectual property that enhances outcomes for employees, customers and other stakeholders. Its platform enables enterprises to build intelligent Knowledge Clouds that incorporate large volumes of structured and unstructured information across disparate internal and external systems and to automate organizational processes that leverage these Knowledge Clouds to improve performance. The company combines its offerings with vertically focused capabilities and data models to operationalize AI and automation to effectively and efficiently address critical challenges facing its customers.