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iLearningEngines (iLearningEngines) Tax Provision : $5.8 Mil (TTM As of Jun. 2023)


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What is iLearningEngines Tax Provision?

iLearningEngines's tax provision for the six months ended in Jun. 2023 was $-0.7 Mil. Its tax provision for the trailing twelve months (TTM) ended in Jun. 2023 was $5.8 Mil.


iLearningEngines Tax Provision Historical Data

The historical data trend for iLearningEngines's Tax Provision 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 Tax Provision Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Tax Provision
- -0.03 5.98

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Tax Provision - - -0.46 6.43 -0.65

iLearningEngines Tax Provision Calculation

Tax to be paid.

Tax Provision for the trailing twelve months (TTM) ended in Jun. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which was $5.8 Mil.

* 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.


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.