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iLearningEngines (iLearningEngines) FCF Margin % : -3.31% (As of Jun. 2023)


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What is iLearningEngines FCF Margin %?

FCF Margin % is calculated as Free Cash Flow divided by its Revenue. iLearningEngines's Free Cash Flow for the six months ended in Jun. 2023 was $-6.5 Mil. iLearningEngines's Revenue for the six months ended in Jun. 2023 was $195.2 Mil. Therefore, iLearningEngines's FCF Margin % for the quarter that ended in Jun. 2023 was -3.31%.

As of today, iLearningEngines's current FCF Yield % is -1.35%.

The historical rank and industry rank for iLearningEngines's FCF Margin % or its related term are showing as below:

AILE' s FCF Margin % Range Over the Past 10 Years
Min: -3.79   Med: -2.89   Max: -0.91
Current: -2.97

During the past 3 years, the highest FCF Margin % of iLearningEngines was -0.91%. The lowest was -3.79%. And the median was -2.89%.

AILE's FCF Margin % is ranked worse than
61.08% of 2785 companies
in the Software industry
Industry Median: 1.5 vs AILE: -2.97

iLearningEngines FCF Margin % Historical Data

The historical data trend for iLearningEngines's FCF Margin % 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 FCF Margin % Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
FCF Margin %
-0.91 -3.79 -2.89

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
FCF Margin % - - -3.27 -2.57 -3.31

Competitive Comparison of iLearningEngines's FCF Margin %

For the Software - Infrastructure subindustry, iLearningEngines's FCF Margin %, along with its competitors' market caps and FCF Margin % 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 FCF Margin % Distribution in the Software Industry

For the Software industry and Technology sector, iLearningEngines's FCF Margin % distribution charts can be found below:

* The bar in red indicates where iLearningEngines's FCF Margin % falls into.


iLearningEngines FCF Margin % Calculation

FCF margin is the ratio of Free Cash Flow divided by net sales or Revenue, usually presented in percent.

iLearningEngines's FCF Margin for the fiscal year that ended in Dec. 2022 is calculated as

FCF Margin=Free Cash Flow (A: Dec. 2022 )/Revenue (A: Dec. 2022 )
=-8.943/309.17
=-2.89 %

iLearningEngines's FCF Margin for the quarter that ended in Jun. 2023 is calculated as

FCF Margin=Free Cash Flow (Q: Jun. 2023 )/Revenue (Q: Jun. 2023 )
=-6.467/195.225
=-3.31 %

* 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 FCF Margin % Related Terms

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iLearningEngines (iLearningEngines) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » FCF Margin %
Comparable Companies
Traded in Other Exchanges
N/A
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.