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

iLearningEngines (iLearningEngines) Total Payout Ratio : 0.00 (As of Jun. 11, 2024)


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

What is iLearningEngines Total Payout Ratio?

Total Payout Ratio is the percent a company has paid to its shareholders through net repurchase of shares and dividends based on its Net Income.

iLearningEngines's current Total Payout Ratio is 0.00.

iLearningEngines Total Payout Ratio Historical Data

The historical data trend for iLearningEngines's Total Payout Ratio 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 Total Payout Ratio Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Total Payout Ratio
-0.06 - -

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Total Payout Ratio - - - - -

Competitive Comparison of iLearningEngines's Total Payout Ratio

For the Software - Infrastructure subindustry, iLearningEngines's Total Payout Ratio, along with its competitors' market caps and Total Payout Ratio 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 Total Payout Ratio Distribution in the Software Industry

For the Software industry and Technology sector, iLearningEngines's Total Payout Ratio distribution charts can be found below:

* The bar in red indicates where iLearningEngines's Total Payout Ratio falls into.


iLearningEngines Total Payout Ratio Calculation

Total Payout Ratio is a measurement showing the proportion of earnings a company pays shareholders in the form of dividends and net stock repurchases.

iLearningEngines's Total Payout Ratio for the fiscal year that ended in Dec. 2022 is calculated as

Total Payout Ratio=- (Repurchase of Stock + Issuance of Stock + Cash Flow for Dividends) / Net Income
=- (0 + 0 + 0) / 11.466
=0.00

iLearningEngines's Total Payout Ratio for the quarter that ended in Jun. 2023 is calculated as

Total Payout Ratio=- (Repurchase of Stock + Issuance of Stock + Cash Flow for Dividends) / Net Income
=- (0 + 0 + 0) / -1.453
=0.00

* 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 Payout Ratio Related Terms

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

iLearningEngines (iLearningEngines) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Total Payout Ratio
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.