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iLearningEngines (iLearningEngines) Other Long-Term Liabilities : $57.3 Mil (As of Jun. 2023)


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What is iLearningEngines Other Long-Term Liabilities?

iLearningEngines's other long-term liabilities for the quarter that ended in Jun. 2023 was $57.3 Mil.

iLearningEngines's quarterly other long-term liabilities increased from Jun. 2022 ($0.0 Mil) to Dec. 2022 ($55.3 Mil) and increased from Dec. 2022 ($55.3 Mil) to Jun. 2023 ($57.3 Mil).

iLearningEngines's annual other long-term liabilities increased from Dec. 2020 ($0.0 Mil) to Dec. 2021 ($52.7 Mil) and increased from Dec. 2021 ($52.7 Mil) to Dec. 2022 ($55.3 Mil).

iLearningEngines Other Long-Term Liabilities Historical Data

The historical data trend for iLearningEngines's Other Long-Term 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 Other Long-Term Liabilities Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Other Long-Term Liabilities
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iLearningEngines Semi-Annual Data
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iLearningEngines Other Long-Term Liabilities Calculation

Other Long-Term Liabilities are the other liabilities on the balance sheet that do not need to be repaid within the next 12 months, but still need to be repaid over time. For instance, on Wal-Mart's balance sheet, there are items called Long Term obligations under capital leases, deferred income taxes, and redeemable non-controlling interest. These are all Other Long-Term Liabilities.

iLearningEngines Other Long-Term Liabilities Related Terms

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iLearningEngines (iLearningEngines) Business Description

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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.