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iLearningEngines (iLearningEngines) Accumulated Depreciation : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines Accumulated Depreciation?

Note: A negative number here means the assets are depreciated. When depricates more, the absolute value gets bigger.

iLearningEngines Accumulated Depreciation Historical Data

The historical data trend for iLearningEngines's Accumulated Depreciation 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 Accumulated Depreciation Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Accumulated Depreciation
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iLearningEngines Semi-Annual Data
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iLearningEngines Accumulated Depreciation Calculation

The cumulative depreciation of an asset up to a single point in its life. Regardless of the method used to calculate it, the depreciation of an asset during a single period is added to the previous period's accumulated depreciation to get the current accumulated depreciation.

iLearningEngines Accumulated Depreciation 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 » Accumulated Depreciation
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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.