Mindflair (LSE:MFAI) Margin of Safety % (DCF Earnings Based): N/A (As of Jun. 28, 2026)


What is Mindflair 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.

Mindflair's Predictability Rank is 1-Star. Thus, the DCF related results in the screener and portfolio will appear as zero and Margin of Safety % (DCF Earnings Based) is not calculated.

LSE:MFAI vs BLK, BX, KKR: Margin of Safety % (DCF Earnings Based) Comparison

For the Asset Management subindustry, Mindflair'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.

Mindflair Margin of Safety % (DCF Earnings Based) vs Asset Management Industry

For the Asset Management industry and Financial Services sector, Mindflair's Margin of Safety % (DCF Earnings Based) distribution charts can be found below:

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


Mindflair Business Description

Address 107 Cheapside, 9th Floor, London, GBR, EC2V 6DN
Mindflair PLC is an investment company providing investors with access to a portfolio of next-generation technology businesses focused on AI with remarkable growth potential. The Company is building an investment portfolio of high-tech businesses across areas such as Artificial intelligence, the Internet of Things, Cyber Security, Machine Learning, Immersive Technologies and Big Data, which the Board believes demonstrate evidence of traction and the potential for exponential growth, due to increasing demand for development in these sectors.