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iLearningEngines (iLearningEngines) Debt-to-Equity : -1.75 (As of Jun. 2023)


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What is iLearningEngines Debt-to-Equity?

iLearningEngines's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Jun. 2023 was $10.7 Mil. iLearningEngines's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Jun. 2023 was $21.2 Mil. iLearningEngines's Total Stockholders Equity for the quarter that ended in Jun. 2023 was $-18.2 Mil. iLearningEngines's debt to equity for the quarter that ended in Jun. 2023 was -1.75.

A high debt to equity ratio generally means that a company has been aggressive in financing its growth with debt. This can result in volatile earnings as a result of the additional interest expense.

The historical rank and industry rank for iLearningEngines's Debt-to-Equity or its related term are showing as below:

AILE' s Debt-to-Equity Range Over the Past 10 Years
Min: -1.75   Med: -1.06   Max: -0.41
Current: -1.75

During the past 3 years, the highest Debt-to-Equity Ratio of iLearningEngines was -0.41. The lowest was -1.75. And the median was -1.06.

AILE's Debt-to-Equity is not ranked
in the Software industry.
Industry Median: 0.21 vs AILE: -1.75

iLearningEngines Debt-to-Equity Historical Data

The historical data trend for iLearningEngines's Debt-to-Equity 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 Debt-to-Equity Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Debt-to-Equity
N/A -0.41 -1.06

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Debt-to-Equity N/A -0.41 N/A -1.06 -1.75

Competitive Comparison of iLearningEngines's Debt-to-Equity

For the Software - Infrastructure subindustry, iLearningEngines's Debt-to-Equity, along with its competitors' market caps and Debt-to-Equity data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


iLearningEngines's Debt-to-Equity Distribution in the Software Industry

For the Software industry and Technology sector, iLearningEngines's Debt-to-Equity distribution charts can be found below:

* The bar in red indicates where iLearningEngines's Debt-to-Equity falls into.



iLearningEngines Debt-to-Equity Calculation

Debt to Equity measures the financial leverage a company has.

iLearningEngines's Debt to Equity Ratio for the fiscal year that ended in Dec. 2022 is calculated as

iLearningEngines's Debt to Equity Ratio 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  (NAS:AILE) Debt-to-Equity Explanation

In the calculation of Debt to Equity, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by Total Stockholders Equity. In some calculations, Total Liabilities is used to for calculation.


Be Aware

Because a company can increase its ROE % by having more financial leverage, it is important to watch the leverage ratio when investing in high ROE % companies.


iLearningEngines Debt-to-Equity 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.