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iLearningEngines (iLearningEngines) Current Deferred Revenue : $3.2 Mil (As of Jun. 2023)


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What is iLearningEngines Current Deferred Revenue?

Current Deferred Revenue represents collections of cash or other assets related to revenue producing activity for which revenue has not yet been recognized. Generally, an entity records deferred revenue when it receives consideration from a customer before achieving certain criteria that must be met for revenue to be recognized in conformity with GAAP. It can be either current or non-current item. Also called unearned revenue.

iLearningEngines's current deferred revenue for the quarter that ended in Jun. 2023 was $3.2 Mil.

iLearningEngines Current Deferred Revenue Historical Data

The historical data trend for iLearningEngines's Current Deferred Revenue 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 Revenue Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Current Deferred Revenue
- 1.49 2.11

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Current Deferred Revenue - 1.49 - 2.11 3.24

iLearningEngines Current Deferred Revenue 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 Revenue
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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.