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M.L.R.N Projects and Trading Ltd (MLRN) Fair Value & Analysis

Financial Services · Il · Market cap 390M ILA

Price13.18 ILA
Fair Value14.76 ILA
Upside+12.0%
Quality95/100
Evidence: High Range 12.94 ILA – 37.86 ILA

Fair value as of: Jun 26, 2026

Analysis

M.L.R.N Projects and Trading Ltd (MLRN) currently trades at 13.18 ILA, while our model-based Fair Value estimate is 14.76 ILA — implying the stock looks roughly 12.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

M.L.R.N Projects and Trading Ltd provides non-bank credit to small and medium-sized businesses in Israel. It offers credit for real estate entrepreneurship and construction support, small and medium-sized businesses, infrastructure projects for infrastructure contractors, and financial service providers. The company was incorporated in 2008 and is based in Herzliya, Israel.

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Frequently asked questions

Is M.L.R.N Projects and Trading Ltd (MLRN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 14.76 ILA versus a price of 13.18 ILA — about +12% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MLRN?
Our 21-model fair value for M.L.R.N Projects and Trading Ltd is 14.76 ILA (as of Jun 26, 2026), built from audited fundamentals. The current price is 13.18 ILA.
What is the quality score of MLRN?
M.L.R.N Projects and Trading Ltd has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.