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MetaReal (TSE:6182) Shiller PE Ratio : (As of Mar. 23, 2025)


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What is MetaReal Shiller PE Ratio?

Shiller PE for Stocks: The True Measure of Stock Valuation


MetaReal Shiller PE Ratio Historical Data

The historical data trend for MetaReal'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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MetaReal Shiller PE Ratio Chart

MetaReal Annual Data
Trend Feb15 Feb16 Feb17 Feb18 Feb19 Feb20 Feb21 Feb22 Feb23 Feb24
Shiller PE Ratio
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MetaReal Quarterly Data
Nov19 Feb20 May20 Aug20 Nov20 Feb21 May21 Aug21 Nov21 Feb22 May22 Aug22 Nov22 Feb23 May23 Aug23 Nov23 Feb24 May24 Aug24
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Competitive Comparison of MetaReal's Shiller PE Ratio

For the Information Technology Services subindustry, MetaReal'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.


MetaReal's Shiller PE Ratio Distribution in the Software Industry

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

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



MetaReal 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.

MetaReal's E10 for the fiscal year that ended in Feb24 is calculated as:

For example, MetaReal's adjusted earnings per share data for the fiscal year that ended in Feb24 was:

Adj_EPS=Earnings per Share (Diluted)/CPI of Feb24 (Change)*Current CPI (Feb24)
=49.13/106.9000*106.9000
=49.130

Current CPI (Feb24) = 106.9000.

MetaReal Annual Data

Earnings per Share (Diluted) CPI Adj_EPS
201502 13.290 97.600 14.556
201602 16.280 97.800 17.795
201702 16.490 98.100 17.969
201802 -121.710 99.500 -130.762
201902 24.250 99.700 26.001
202002 29.050 100.300 30.962
202102 -6.530 99.800 -6.995
202202 -116.240 100.700 -123.397
202302 2.730 104.000 2.806
202402 49.130 106.900 49.130

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.


MetaReal  (TSE:6182) 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.


MetaReal Shiller PE Ratio Related Terms

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MetaReal Business Description

Traded in Other Exchanges
N/A
Address
3-7-1 Kanda Jimbocho, New Kudan Building, Chiyoda-ku, Tokyo, JPN, 101-0051
MetaReal Corp is a Japan-based company mainly engaged in the machine translation (MT) business and crowdsourcing business.

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