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iLearningEngines (iLearningEngines) Buildings And Improvements : $0.0 Mil (As of Jun. 2023)


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What is iLearningEngines Buildings And Improvements?

iLearningEngines Buildings And Improvements Historical Data

The historical data trend for iLearningEngines's Buildings And Improvements 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 Buildings And Improvements Chart

iLearningEngines Annual Data
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iLearningEngines Semi-Annual Data
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iLearningEngines Buildings And Improvements Calculation

Buildings are typically valued at the time of acquisition or construction.  Broker and architect fees, permits, etc. can be covered within this category.  Building components, such as a roof, are normally recorded separately in an asset register since the value and useful lives of these components equal much less than the building itself.

Building improvements that extend the useful life of a building will fall into the category of “building improvements” and should be capitalized.  Improvements are commonly recorded at acquisition cost.  Building improvement examples include roofing, remodeling, replacements, etc.

iLearningEngines (iLearningEngines) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Buildings And Improvements
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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.