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Datalex (Datalex) Shiller PE Ratio : (As of May. 26, 2024)


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What is Datalex Shiller PE Ratio?

Shiller PE for Stocks: The True Measure of Stock Valuation


Datalex Shiller PE Ratio Historical Data

The historical data trend for Datalex's Shiller PE 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.

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Datalex Shiller PE Ratio Chart

Datalex Annual Data
Trend Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22
Shiller PE Ratio
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Datalex Semi-Annual Data
Dec13 Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23
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Competitive Comparison of Datalex's Shiller PE Ratio

For the Software - Application subindustry, Datalex's Shiller PE Ratio, along with its competitors' market caps and Shiller PE 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.


Datalex's Shiller PE Ratio Distribution in the Software Industry

For the Software industry and Technology sector, Datalex's Shiller PE Ratio distribution charts can be found below:

* The bar in red indicates where Datalex's Shiller PE Ratio falls into.



Datalex Shiller PE Ratio Calculation

For Shiller PE Ratio, the earnings of the past 10 years are inflation-adjusted and averaged. The result is used for P/E calculation. Since it looks at the average over the last 10 years, the Shiller PE Ratio is also called PE10.

The Shiller PE Ratio was first used by professor Robert Shiller to measure the valuation of the overall market. The same calculation is applied here to individual companies.

Datalex's E10 for the fiscal year that ended in Dec22 is calculated as:

For example, Datalex's adjusted earnings per share data for the fiscal year that ended in Dec22 was:

Adj_EPS=Earnings per Share (Diluted)/CPI of Dec22 (Change)*Current CPI (Dec22)
=-0.173/115.4357*115.4357
=-0.173

Current CPI (Dec22) = 115.4357.

Datalex Annual Data

Earnings per Share (Diluted) CPI Adj_EPS
201312 0.042 99.875 0.049
201412 0.070 99.576 0.081
201512 0.107 99.676 0.124
201612 0.137 99.676 0.159
201712 0.179 100.075 0.206
201812 -1.230 100.773 -1.409
201912 -0.302 102.068 -0.342
202012 -0.162 101.072 -0.185
202112 -0.094 106.653 -0.102
202212 -0.173 115.436 -0.173

Add all the adjusted EPS together and divide 10 will get our E10.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.


Datalex  (OTCPK:DLEXY) Shiller PE Ratio Explanation

Compared with the regular PE Ratio, which works poorly for cyclical businesses, the Shiller PE Ratio smoothed out the fluctuations of profit margins during business cycles. Therefore it is more accurate in reflecting the valuation of the company.

If a company has consistent business performance, the Shiller PE Ratio should give similar results to regular PE Ratio.

Compared with the PS Ratio, the Shiller PE Ratio makes the comparison between different industries more meaningful.


Be Aware

Shiller PE Ratio assumes that over the long term, businesses and profitability revert to their means. If a company's business model does not work in the future compared with the past, Shiller PE Ratio and PS Ratio will give false valuations.


Datalex Shiller PE Ratio Related Terms

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Datalex (Datalex) Business Description

Traded in Other Exchanges
Address
Block V, EastPoint, Clontarf, Dublin, IRL, D03 H704
Datalex PLC is in the business of development and sale of direct distribution software products and solutions to the travel industry. Its products and services include offer and pricing management, order management, Omni channel, NDC and technology and architecture. The firm's customers are airlines such as Aer Lingus, Air China, Air Transat, Brussels Airlines, Delta Air Lines and Swiss International Air Lines. It functions through the E-business and TPF Consulting segments and derives a majority of its revenues from the e-business segment.

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