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Asimilar Group (AQSE:ASLR) Earnings Yield (Joel Greenblatt) % : 0.00% (As of Mar. 2023)


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What is Asimilar Group Earnings Yield (Joel Greenblatt) %?

Asimilar Group's Enterprise Value for the quarter that ended in Mar. 2023 was £6.74 Mil. Asimilar Group's EBIT for the trailing twelve months (TTM) ended in Mar. 2023 was £-25.71 Mil. Asimilar Group's Earnings Yield (Joel Greenblatt) for the quarter that ended in Mar. 2023 was 0.00%.

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

AQSE:ASLR' s Earnings Yield (Joel Greenblatt) % Range Over the Past 10 Years
Min: -5291.67   Med: 82.93   Max: 3377.66
Current: -5000

During the past 13 years, the highest Earnings Yield (Joel Greenblatt) of Asimilar Group was 3377.66%. The lowest was -5291.67%. And the median was 82.93%.

AQSE:ASLR's Earnings Yield (Joel Greenblatt) % is ranked worse than
99.88% of 1708 companies
in the Asset Management industry
Industry Median: 0 vs AQSE:ASLR: -5000.00

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) %. Asimilar Group's Forward Rate of Return (Yacktman) % for the quarter that ended in Mar. 2023 was 0.00%. The Forward Rate of Return uses the normalized Free Cash Flow of the past seven 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.


Asimilar Group Earnings Yield (Joel Greenblatt) % Historical Data

The historical data trend for Asimilar Group'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.

Asimilar Group Earnings Yield (Joel Greenblatt) % Chart

Asimilar Group Annual Data
Trend Sep13 Sep14 Sep15 Sep16 Sep17 Sep18 Sep19 Sep20 Sep21 Sep22
Earnings Yield (Joel Greenblatt) %
Get a 7-Day Free Trial Premium Member Only Premium Member Only -12.24 -74.63 1.77 68.49 -454.55

Asimilar Group Semi-Annual Data
Sep13 Mar14 Sep14 Mar15 Sep15 Mar16 Sep16 Mar17 Sep17 Mar18 Sep18 Mar19 Sep19 Mar20 Sep20 Mar21 Sep21 Mar22 Sep22 Mar23
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 - 68.49 - -454.55 -

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

For the Asset Management subindustry, Asimilar Group'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.


Asimilar Group's Earnings Yield (Joel Greenblatt) % Distribution in the Asset Management Industry

For the Asset Management industry and Financial Services sector, Asimilar Group's Earnings Yield (Joel Greenblatt) % distribution charts can be found below:

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



Asimilar Group 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.

Asimilar Groups Earnings Yield (Joel Greenblatt) for the fiscal year that ended in Sep. 2022 is calculated as

Earnings Yield (Joel Greenblatt)=EBIT/Enterprise Value
=-35.272/32.07514
=-109.97 %

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.



Asimilar Group  (AQSE:ASLR) 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.


Asimilar Group Earnings Yield (Joel Greenblatt) % Related Terms

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


Asimilar Group (AQSE:ASLR) Business Description

Traded in Other Exchanges
N/A
Address
4 More London Riverside, London, GBR, SE1 2AU
Asimilar Group PLC is an investment company, focused on opportunities in the fields of big data, machine learning, telematics, and the Internet of Things (IoT).

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