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Appen (APXYY) Earnings Yield (Joel Greenblatt) % : -5.09% (As of Dec. 2024)


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What is Appen Earnings Yield (Joel Greenblatt) %?

Appen's Enterprise Value for the quarter that ended in Dec. 2024 was $381.5 Mil. Appen's EBIT for the trailing twelve months (TTM) ended in Dec. 2024 was $-20.0 Mil. Appen's Earnings Yield (Joel Greenblatt) for the quarter that ended in Dec. 2024 was -5.09%.

The historical rank and industry rank for Appen's Earnings Yield (Joel Greenblatt) % or its related term are showing as below:

APXYY' s Earnings Yield (Joel Greenblatt) % Range Over the Past 10 Years
Min: -1801.4   Med: 2.24   Max: 20.84
Current: -9.52

During the past 10 years, the highest Earnings Yield (Joel Greenblatt) of Appen was 20.84%. The lowest was -1801.40%. And the median was 2.24%.

APXYY's Earnings Yield (Joel Greenblatt) % is ranked worse than
83.39% of 2847 companies
in the Software industry
Industry Median: 1.51 vs APXYY: -9.52

Joel Greenblatt's definition of earnings yield has the same problems the regular earnings yield does. It does not consider the growth of the company. It only looks at one-year's business operation. For cyclical companies, the earnings yield is usually highest at the peak of the business cycle. But these earnings are rarely sustainable.

A better indicator of the attractiveness of an investment which takes growth into account is the Forward Rate of Return (Yacktman) %. Appen's Forward Rate of Return (Yacktman) % for the quarter that ended in Dec. 2024 was 0.00%. The Forward Rate of Return uses the normalized Free Cash Flow of the past five years, and considers growth. The forward rate of return can be thought of as the return that investors buying the stock today can expect from it in the future.


Appen Earnings Yield (Joel Greenblatt) % Historical Data

The historical data trend for Appen's Earnings Yield (Joel Greenblatt) % 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.

Appen Earnings Yield (Joel Greenblatt) % Chart

Appen Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Earnings Yield (Joel Greenblatt) %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 2.23 3.84 -123.46 -178.57 -5.09

Appen Semi-Annual Data
Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24
Earnings Yield (Joel Greenblatt) % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -123.46 - -178.57 - -5.09

Competitive Comparison of Appen's Earnings Yield (Joel Greenblatt) %

For the Information Technology Services subindustry, Appen's Earnings Yield (Joel Greenblatt) %, along with its competitors' market caps and Earnings Yield (Joel Greenblatt) % 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.


Appen's Earnings Yield (Joel Greenblatt) % Distribution in the Software Industry

For the Software industry and Technology sector, Appen's Earnings Yield (Joel Greenblatt) % distribution charts can be found below:

* The bar in red indicates where Appen's Earnings Yield (Joel Greenblatt) % falls into.


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Appen Earnings Yield (Joel Greenblatt) % Calculation

In his book, The Little That Beat the Market, hedge fund manager Joel Greenblatt defines Earnings Yield as operating income divided by enterprise value.

Appens Earnings Yield (Joel Greenblatt) for the fiscal year that ended in Dec. 2024 is calculated as

Earnings Yield (Joel Greenblatt)=EBIT/Enterprise Value
=-19.978/381.4637115
=-5.24 %

For company reported semi-annually or annually, GuruFocus only calculate annual data for Earnings Yield (Joel Greenblatt) and apply the annual figure to corresponding quarter.



Appen  (OTCPK:APXYY) Earnings Yield (Joel Greenblatt) % Explanation

Joel Greenblatt defines the earnings yield using the above equation because it more accurately reflects the company's profitability relative to its stock price. Items like interest payment and tax etc. are not directly related to the company's operational profitability.

Enterprise Value instead of market cap (share price) is used in the calculation because it is the real price stock and bond investors together pay for the company.


Be Aware

Joel Greenblatt's definition of earnings yield has the same problems the regular earnings yield does. It does not consider the growth of the company. It only looks at one-year's business operation. For cyclical companies, the earnings yield is usually highest at the peak of the business cycle. But these earnings are rarely sustainable.

Forward Rate of Return (Yacktman) % based on Don Yacktman's definition is a better measure of the expected rate of return for a stock.


Appen Earnings Yield (Joel Greenblatt) % Related Terms

Thank you for viewing the detailed overview of Appen's Earnings Yield (Joel Greenblatt) % provided by GuruFocus.com. Please click on the following links to see related term pages.


Appen Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Appen Ltd (OTCPK:APXYY) » Definitions » Earnings Yield (Joel Greenblatt) %
Traded in Other Exchanges
Address
9 Help Street, Level 6, Chatswood, Sydney, NSW, AUS, 2067
Appen Ltd is engaged in the provision of quality data solutions and services for machine learning and artificial intelligence applications for technology companies, auto manufacturers, government agencies among others. The company's business segments are Global services and New markets. It generates maximum revenue from the Global services segment which represents the services that it provides to technology customers using the customers' data annotation platforms and tools. The majority of projects comprise large, at-scale deep learning (model evaluation) programs. Geographically, it derives a majority of its revenue from the United States of America.

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