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


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What is iLearningEngines Total Payout Yield %?

Total Payout Yield % is the percent a company has paid to its shareholders through net repurchases of shares and dividends based on its Market Cap. It is a measure of shareholder return.

iLearningEngines's current Total Payout Yield % is 0.00%.


iLearningEngines Total Payout Yield % Historical Data

The historical data trend for iLearningEngines's Total Payout Yield % 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 Total Payout Yield % Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Total Payout Yield %
- - -

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

Competitive Comparison of iLearningEngines's Total Payout Yield %

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

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

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



iLearningEngines Total Payout Yield % Calculation

Total Payout Yield % is a measure of shareholder return.

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

Total Payout Yield %=- (Repurchase of Stock + Issuance of Stock + Cash Flow for Dividends) / Market Cap
=- (0 + 0 + 0) / 0
=N/A%

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

Total Payout Yield %=- (Repurchase of Stock + Issuance of Stock + Cash Flow for Dividends) * Annualized Factor / Market Cap
=- (0 + 0 + 0) * 2 / 0
=N/A%

* 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 Yield % Explanation

Similar to Dividend Yield, Total Payout Yield % is a measurement of shareholder return. Dividends is not the only way that companies are able to distribute their excess cash back to the shareholders. The other way to distribute the cash is a stock repurchase. The stock repurchase buys back the company's own shares from the marketplace. This results in a reduced number of oustanding shares, making each share worth a greater percentage of the corporation.


iLearningEngines Total Payout Yield % 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.