Botswana Minerals (LSE:BMIN) Margin of Safety % (DCF FCF Based): N/A (As of Jun. 25, 2026)


What is Botswana Minerals Margin of Safety % (DCF FCF Based)?

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

Note: Discounted FCF 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.

Botswana Minerals'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 FCF Based) is not calculated.

LSE:BMIN vs HL: Margin of Safety % (DCF FCF Based) Comparison

For the Other Precious Metals & Mining subindustry, Botswana Minerals's Margin of Safety % (DCF FCF Based), along with its competitors' market caps and Margin of Safety % (DCF FCF 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.

Botswana Minerals Margin of Safety % (DCF FCF Based) vs Metals & Mining Industry

For the Metals & Mining industry and Basic Materials sector, Botswana Minerals's Margin of Safety % (DCF FCF Based) distribution charts can be found below:

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


Botswana Minerals Business Description

Other Exchanges EG5:Germany
Address 162 Clontarf Road, Dublin 3, Dublin, IRL, D03 F6Y0
Botswana Minerals PLC is a mineral exploration and project development company focused on copper and strategic minerals in Botswana. The company holds exploration licences across prospective terranes and applies data analytics and AI-driven geological modelling to identify high-value targets.