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iLearningEngines (iLearningEngines) Treasury Stock : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines Treasury Stock?

Treasury stock is the portion of shares that a company keeps in their own treasury. iLearningEngines's treasury stock for the quarter that ended in Jun. 2023 was $0.0 Mil.

Treasury stock may have come from a repurchase or buyback from shareholders; or it may have never been issued to the public in the first place.


iLearningEngines Treasury Stock Historical Data

The historical data trend for iLearningEngines's Treasury Stock 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 Treasury Stock Chart

iLearningEngines Annual Data
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Treasury Stock
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iLearningEngines Semi-Annual Data
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iLearningEngines Treasury Stock Calculation

The portion of shares that a company keeps in their own treasury. Treasury stock may have come from a repurchase or buyback from shareholders; or it may have never been issued to the public in the first place. These shares don't pay dividends, have no voting rights, and should not be included in shares outstanding calculations.


iLearningEngines (iLearningEngines) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
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.