AILE (iLearningEngines) Net Margin % : -130.52% (As of Jun. 2024)

View and export this data going back to 2024. Start your Free Trial

What is iLearningEngines Net Margin %?

Net margin is calculated as Net Income divided by its Revenue. iLearningEngines's Net Income for the six months ended in Jun. 2024 was $-340.0 Mil. iLearningEngines's Revenue for the six months ended in Jun. 2024 was $260.5 Mil. Therefore, iLearningEngines's net margin for the quarter that ended in Jun. 2024 was -130.52%.

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

AILE' s Net Margin % Range Over the Past 10 Years
Min: -130.52 Med: 3.71 Max: 4.84
Current: -130.52

AILE's Net Margin % is ranked worse than
90.85% of 2764 companies
in the Software industry
Industry Median: 2.245 vs AILE: -130.52

iLearningEngines Net Margin % Historical Data

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

iLearningEngines Annual Data

Trend

Dec20

Dec21

Dec22

Net Margin %

4.84

1.16

3.71

iLearningEngines Semi-Annual Data
	Dec20	Dec21	Jun22	Dec22	Jun23	Jun24
Net Margin %	Get a 7-Day Free Trial			-	1.38	5.73	-0.74	-130.52

Competitive Comparison of iLearningEngines's Net Margin %

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

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

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

iLearningEngines Net Margin % Calculation

Net margin - also known as net profit margin is the ratio of Net Income divided by net sales or Revenue, usually presented in percent.

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

Net Margin	=	Net Income (A: Dec. 2022 )	/	Revenue (A: Dec. 2022 )
	=	11.466	/	309.17
	=	3.71 %

iLearningEngines's Net Margin for the quarter that ended in Jun. 2024 is calculated as

Net Margin	=	Net Income (Q: Jun. 2024 )	/	Revenue (Q: Jun. 2024 )
	=	-339.961	/	260.473
	=	-130.52 %

iLearningEngines (NAS:AILE) Net Margin % Explanation

Although Net Income and Earnings-per-Share (EPS) are the most widely used parameter in measuring a company's profitability and valuation, it is the least reliable. The reason is that reported earnings can be manipulated easily by adjusting any numbers such as Depreciation, Depletion and Amotorization and non-recurring items.

But the long term trend of the net margin is a good indicator of the competitiveness and health of the business.

iLearningEngines Net Margin % Related Terms

Thank you for viewing the detailed overview of iLearningEngines's Net Margin % provided by GuruFocus.com. Please click on the following links to see related term pages.

iLearningEngines Business Description

Industry

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