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iLearningEngines (iLearningEngines) Short-Term Capital Lease Obligation : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines Short-Term Capital Lease Obligation?

iLearningEngines's Short-Term Capital Lease Obligation for the quarter that ended in Jun. 2023 was $0.0 Mil.

iLearningEngines Short-Term Capital Lease Obligation Historical Data

The historical data trend for iLearningEngines's Short-Term Capital Lease Obligation 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 Short-Term Capital Lease Obligation Chart

iLearningEngines Annual Data
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Short-Term Capital Lease Obligation
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iLearningEngines Semi-Annual Data
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iLearningEngines Short-Term Capital Lease Obligation Explanation

Short-Term Capital Lease Obligation represents the total amount of Long-Term Capital Lease Obligation that must be paid within the next accounting period. Capital lease obligations are contractual obligations that arise from obtaining the use of property or equipment via a capital lease contract.

iLearningEngines Short-Term Capital Lease Obligation 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 » Short-Term Capital Lease Obligation
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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.