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The historical data trend for Martela Oyj'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.
Martela Oyj Annual Data | |||||||||||||||||||||
Trend | Dec14 | Dec15 | Dec16 | Dec17 | Dec18 | Dec19 | Dec20 | Dec21 | Dec22 | Dec23 | |||||||||||
Shiller PE Ratio | Get a 7-Day Free Trial | - | - | - | - | - |
Martela Oyj Quarterly Data | ||||||||||||||||||||
Dec19 | Mar20 | Jun20 | Sep20 | Dec20 | Mar21 | Jun21 | Sep21 | Dec21 | Mar22 | Jun22 | Sep22 | Dec22 | Mar23 | Jun23 | Sep23 | Dec23 | Mar24 | Jun24 | Sep24 | |
Shiller PE Ratio | Get a 7-Day Free Trial | - | - | - | - | - |
For the Furnishings, Fixtures & Appliances subindustry, Martela Oyj'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.
For the Furnishings, Fixtures & Appliances industry and Consumer Cyclical sector, Martela Oyj's Shiller PE Ratio distribution charts can be found below:
* The bar in red indicates where Martela Oyj's Shiller PE Ratio falls into.
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.
Martela Oyj's E10 for the quarter that ended in Sep. 2024 is calculated as:
For example, Martela Oyj's adjusted earnings per share data for the three months ended in Sep. 2024 was:
Adj_EPS | = | Earnings per Share (Diluted) | / | CPI of Sep. 2024 (Change) | * | Current CPI (Sep. 2024) |
= | -0.28 | / | 122.2600 | * | 122.2600 | |
= | -0.280 |
Current CPI (Sep. 2024) = 122.2600.
Martela Oyj Quarterly Data
Earnings per Share (Diluted) | CPI | Adj_EPS | |
201412 | -0.280 | 100.229 | -0.342 |
201503 | -0.360 | 100.120 | -0.440 |
201506 | 0.010 | 100.030 | 0.012 |
201509 | 0.590 | 100.130 | 0.720 |
201512 | 0.370 | 99.990 | 0.452 |
201603 | -0.070 | 100.080 | -0.086 |
201606 | 0.030 | 100.390 | 0.037 |
201609 | 0.670 | 100.540 | 0.815 |
201612 | 0.180 | 101.020 | 0.218 |
201703 | -0.160 | 100.910 | -0.194 |
201706 | -0.300 | 101.140 | -0.363 |
201709 | 0.370 | 101.320 | 0.446 |
201712 | -0.070 | 101.510 | -0.084 |
201803 | -0.270 | 101.730 | -0.324 |
201806 | -0.250 | 102.320 | -0.299 |
201809 | -0.030 | 102.600 | -0.036 |
201812 | -0.020 | 102.710 | -0.024 |
201903 | -0.490 | 102.870 | -0.582 |
201906 | -0.450 | 103.360 | -0.532 |
201909 | 0.220 | 103.540 | 0.260 |
201912 | 0.120 | 103.650 | 0.142 |
202003 | -0.840 | 103.490 | -0.992 |
202006 | 0.020 | 103.320 | 0.024 |
202009 | 0.160 | 103.710 | 0.189 |
202012 | -0.510 | 103.890 | -0.600 |
202103 | -0.560 | 104.870 | -0.653 |
202106 | -0.460 | 105.360 | -0.534 |
202109 | 0.190 | 106.290 | 0.219 |
202112 | 0.260 | 107.490 | 0.296 |
202203 | -0.010 | 110.950 | -0.011 |
202206 | -0.060 | 113.570 | -0.065 |
202209 | 0.480 | 114.920 | 0.511 |
202212 | 0.150 | 117.320 | 0.156 |
202303 | -0.490 | 119.750 | -0.500 |
202306 | -0.650 | 120.690 | -0.658 |
202309 | 0.150 | 121.280 | 0.151 |
202312 | 0.220 | 121.540 | 0.221 |
202403 | -0.600 | 122.360 | -0.600 |
202406 | -0.450 | 122.230 | -0.450 |
202409 | -0.280 | 122.260 | -0.280 |
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.
Martela Oyj (OHEL:MARAS) 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.
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