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iLearningEngines (iLearningEngines) Total Debt per Share : $0.24 (As of Jun. 2023)


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What is iLearningEngines Total Debt per Share?

$0.24 (As of Jun. 2023)

Total Debt per Share is calculated as total debt divided by Shares Outstanding (EOP). Total debt is calculated as Long-Term Debt & Capital Lease Obligation plus Short-Term Debt & Capital Lease Obligation. iLearningEngines's Total Debt Per Share for the quarter that ended in Jun. 2023 was $0.24.


iLearningEngines Total Debt per Share Historical Data

The historical data trend for iLearningEngines's Total Debt per Share 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 Total Debt per Share Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Total Debt per Share
- 0.09 0.13

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Total Debt per Share - 0.09 - 0.13 0.24

iLearningEngines Total Debt per Share Calculation

iLearningEngines's Total Debt Per Share for the fiscal year that ended in Dec. 2022 is calculated as:

iLearningEngines's Total Debt Per Share for the quarter that ended in Jun. 2023 is calculated as:

* 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.


iLearningEngines Total Debt per Share Related Terms

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iLearningEngines (iLearningEngines) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
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.