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


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What is iLearningEngines Common Stock?

iLearningEngines's quarterly common stock increased from Jun. 2022 ($0.0 Mil) to Dec. 2022 ($0.0 Mil) but then stayed the same from Dec. 2022 ($0.0 Mil) to Jun. 2023 ($0.0 Mil).

iLearningEngines's annual common stock increased from Dec. 2020 ($0.0 Mil) to Dec. 2021 ($0.0 Mil) but then stayed the same from Dec. 2021 ($0.0 Mil) to Dec. 2022 ($0.0 Mil).

iLearningEngines Common Stock Historical Data

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

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Common Stock
- 0.01 0.01

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Common Stock - 0.01 - 0.01 0.01

iLearningEngines Common Stock Calculation

Common stock is listed on the Balance Sheet at the par value of the total shares outstanding of a company.

The par value of common stocks is meaningless. It is usually set at an absurdly low number.

iLearningEngines (iLearningEngines) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Common Stock
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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.