Informetis Co (TSE:281A) Margin of Safety % (DCF Earnings Based): N/A (As of Jul. 13, 2026)


What is Informetis Co Margin of Safety % (DCF Earnings Based)?

Margin of Safety % (DCF Earnings Based) = (Intrinsic Value: DCF (Earnings Based) - Current Price) / Intrinsic Value: DCF (Earnings Based).

Note: Discounted Earnings model is only suitable for predictable companies (Business Predictability Rank higher than 1-Star). If the company's Predictability Rank is 1-Star or Not Rated, result may not be accurate due to the low predictability of business and the data will not be stored into our database.

Informetis Co's Predictability Rank is Not Rated. Thus, the DCF related results in the screener and portfolio will appear as zero and Margin of Safety % (DCF Earnings Based) is not calculated.


TSE:281A vs MSFT, ORCL, PLTR: Margin of Safety % (DCF Earnings Based) Comparison

For the Software - Infrastructure subindustry, Informetis Co's Margin of Safety % (DCF Earnings Based), along with its competitors' market caps and Margin of Safety % (DCF Earnings Based) 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.


Informetis Co Margin of Safety % (DCF Earnings Based) vs Software Industry

For the Software industry and Technology sector, Informetis Co's Margin of Safety % (DCF Earnings Based) distribution charts can be found below:

* The bar in red indicates where Informetis Co's Margin of Safety % (DCF Earnings Based) falls into.



Informetis Co Business Description

Address 1-8-20 Shibakoen, Minato-ku, Tokyo, JPN
Informetis Co Ltd is engaged in the energy-Informatics business which includes sales, engineering and developing proprietary energy sensor, data-mining, in-house designed IoT data platforms to handle energy data, development of end-user apps, creation of new services that benefit the created values out of energy data.