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iLearningEngines (iLearningEngines) Total Tax Payable : $4.0 Mil (As of Jun. 2023)


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What is iLearningEngines Total Tax Payable?

iLearningEngines's Total Tax Payable for the quarter that ended in Jun. 2023 was $4.0 Mil.

iLearningEngines's quarterly Total Tax Payable increased from Jun. 2022 ($0.0 Mil) to Dec. 2022 ($3.6 Mil) and increased from Dec. 2022 ($3.6 Mil) to Jun. 2023 ($4.0 Mil).

iLearningEngines's annual Total Tax Payable increased from Dec. 2020 ($0.0 Mil) to Dec. 2021 ($2.4 Mil) and increased from Dec. 2021 ($2.4 Mil) to Dec. 2022 ($3.6 Mil).

iLearningEngines Total Tax Payable Historical Data

The historical data trend for iLearningEngines's Total Tax Payable 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 Total Tax Payable Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Total Tax Payable
- 2.42 3.62

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Total Tax Payable - 2.42 - 3.62 4.03

iLearningEngines Total Tax Payable Calculation

Total Tax Payable is the taxes liability owed to federal, state, and local tax authorities. It is the carrying value as of the balance sheet date of obligations incurred and payable for statutory income, sales, use, payroll, excise, real, property and other taxes.

iLearningEngines Total Tax Payable 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 » Total Tax Payable
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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.