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iLearningEngines (iLearningEngines) Current Deferred Taxes Liabilities : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines Current Deferred Taxes Liabilities?

Current Deferred Taxes Liabilities represent future tax liabilities, resulting from temporary differences between book (accounting) value of assets and liabilities and their tax value, or timing differences between the recognition of gains and losses in financial statements and their recognition in a tax computation. Deferred tax liabilities generally arise where tax relief is provided in advance of an accounting expense, or income is accrued but not taxed until received.

iLearningEngines's current deferred tax liabilities for the quarter that ended in Jun. 2023 was $0.0 Mil.

iLearningEngines Current Deferred Taxes Liabilities Historical Data

The historical data trend for iLearningEngines's Current Deferred Taxes Liabilities 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 Current Deferred Taxes Liabilities Chart

iLearningEngines Annual Data
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iLearningEngines Semi-Annual Data
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iLearningEngines Current Deferred Taxes Liabilities Related Terms

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iLearningEngines (iLearningEngines) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Current Deferred Taxes Liabilities
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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.