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iLearningEngines (iLearningEngines) Interest Expense : $-6.3 Mil (TTM As of Jun. 2023)


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What is iLearningEngines Interest Expense?

Interest Expense is the amount reported by a company or individual as an expense for borrowed money. iLearningEngines's interest expense for the six months ended in Jun. 2023 was $ -3.2 Mil. Its interest expense for the trailing twelve months (TTM) ended in Jun. 2023 was $-6.3 Mil.

Interest Coverage is a ratio that determines how easily a company can pay interest expenses on outstanding debt. It is calculated by dividing a company's Operating Income(EBIT) by its Interest Expense. iLearningEngines's Operating Income for the six months ended in Jun. 2023 was $ 6.1 Mil. iLearningEngines's Interest Expense for the six months ended in Jun. 2023 was $ -3.2 Mil. iLearningEngines's Interest Coverage for the quarter that ended in Jun. 2023 was 1.93. The higher the ratio, the stronger the company's financial strength is. Note: If both Interest Expense and Interest Income are empty, while Net Interest Income is negative, then use Net Interest Income as Interest Expense.

iLearningEngines Interest Expense Historical Data

The historical data trend for iLearningEngines's Interest Expense 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.

* Premium members only.

iLearningEngines Interest Expense Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Interest Expense
-1.08 -5.05 -6.61

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Interest Expense - - -3.48 -3.13 -3.16

iLearningEngines Interest Expense Calculation

Interest Expense is the amount reported by a company or individual as an expense for borrowed money.

Interest Expense for the trailing twelve months (TTM) ended in Jun. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which was $-6.3 Mil.

* 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  (NAS:AILE) Interest Expense Explanation

Interest Coverage is a ratio that determines how easily a company can pay interest expenses on outstanding debt. It is calculated by dividing a company's Operating Income (EBIT) by its Interest Expense. The higher, the better.

Note: If both Interest Expense and Interest Income are empty, while Net Interest Income is negative, then use Net Interest Income as Interest Expense.

iLearningEngines's Interest Expense for the six months ended in Jun. 2023 was $-3.2 Mil. Its Operating Income for the six months ended in Jun. 2023 was $6.1 Mil. And its Long-Term Debt & Capital Lease Obligation for the six months ended in Jun. 2023 was $21.2 Mil.

iLearningEngines's Interest Coverage for the quarter that ended in Jun. 2023 is calculated as

Interest Coverage=-1* Operating Income (Q: Jun. 2023 )/Interest Expense (Q: Jun. 2023 )
=-1*6.099/-3.155
=1.93

* 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.

The higher the ratio, the stronger the company's financial strength is.

iLearningEngines (iLearningEngines) Business Description

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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.