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AHNLAB (XKRX:053800) Earnings Yield (Joel Greenblatt) % : 9.16% (As of Dec. 2023)


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What is AHNLAB Earnings Yield (Joel Greenblatt) %?

AHNLAB's Enterprise Value for the quarter that ended in Dec. 2023 was ₩454,042 Mil. AHNLAB's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 was ₩42,737 Mil. AHNLAB's Earnings Yield (Joel Greenblatt) for the quarter that ended in Dec. 2023 was 9.16%.

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

XKRX:053800' s Earnings Yield (Joel Greenblatt) % Range Over the Past 10 Years
Min: 0.81   Med: 4.4   Max: 10.7
Current: 10.56

During the past 13 years, the highest Earnings Yield (Joel Greenblatt) of AHNLAB was 10.70%. The lowest was 0.81%. And the median was 4.40%.

XKRX:053800's Earnings Yield (Joel Greenblatt) % is ranked better than
87.37% of 2851 companies
in the Software industry
Industry Median: 1.11 vs XKRX:053800: 10.56

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) %. AHNLAB's Forward Rate of Return (Yacktman) % for the quarter that ended in Dec. 2023 was 9.47%. 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.


AHNLAB Earnings Yield (Joel Greenblatt) % Historical Data

The historical data trend for AHNLAB'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.

AHNLAB Earnings Yield (Joel Greenblatt) % Chart

AHNLAB Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Earnings Yield (Joel Greenblatt) %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 4.97 4.08 7.27 4.27 9.16

AHNLAB Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 4.27 9.25 9.13 7.76 9.16

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

For the Software - Infrastructure subindustry, AHNLAB'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.


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

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

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



AHNLAB 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.

AHNLABs Earnings Yield (Joel Greenblatt) for the fiscal year that ended in Dec. 2023 is calculated as

Earnings Yield (Joel Greenblatt)=EBIT/Enterprise Value
=41586.5/454041.832
=9.16 %

AHNLAB's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was ₩42,737 Mil.



AHNLAB  (XKRX:053800) 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.


AHNLAB Earnings Yield (Joel Greenblatt) % Related Terms

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AHNLAB (XKRX:053800) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » AHNLAB Inc (XKRX:053800) » Definitions » Earnings Yield (Joel Greenblatt) %
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Address
AhnLab, Inc. 673, Sampyeong-dong, Seongnam-si, KOR, 463-400
AHNLAB Inc develops industry- leading information security solutions and services for consumers, enterprises, and small and medium businesses worldwide. AhnLab solutions portfolio comprises advanced threat analysis, cloud-based intelligence, endpoint security, network security, advanced threat defense, and security consulting services. The company provides real-time detection and prevention of malware, malicious codes, hacking attacks.

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