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iLearningEngines (iLearningEngines) Other Gross PPE : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines Other Gross PPE?

iLearningEngines's Other Gross PPE for the quarter that ended in Jun. 2023 was $0.0 Mil.

iLearningEngines Other Gross PPE Historical Data

The historical data trend for iLearningEngines's Other Gross PPE 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 Other Gross PPE Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Other Gross PPE
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iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Other Gross PPE - - - - -

iLearningEngines Other Gross PPE Calculation

GuruFocus lists Land And Improvements, Buildings And Improvements, Machinery, Furniture, Equipment, Construction In Progress and Other Gross PPE under the "Gross Property, Plant and Equipment" section.

iLearningEngines (iLearningEngines) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Other Gross PPE
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Traded in Other Exchanges
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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.