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Novatech Industries (MLNOV) Fair Value & Analysis

Technology · FR · Market cap €19.0M

Price€16.30
Fair Value€10.84
Upside-33.5%
Quality89/100
Evidence: Medium Range €8.30 – €13.38

Fair value as of: Jun 24, 2026

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Analysis

Novatech Industries (MLNOV) currently trades at €16.30, while our model-based Fair Value estimate is €10.84 — implying the stock looks roughly 33.5% overvalued today. We read business quality at 89/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Novatech Industries provides electronic product design and manufacturing solutions in Europe. The company serves aerospace and defense, naval, medical, mobility, energy, and industry sectors. Novatech Industries was incorporated in 1998 and is headquartered in Lannion, France.

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Frequently asked questions

Is Novatech Industries (MLNOV) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €10.84 versus a price of €16.30 — about −33% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MLNOV?
Our 21-model fair value for Novatech Industries is €10.84 (as of Jun 24, 2026), built from audited fundamentals. The current price is €16.30.
What is the quality score of MLNOV?
Novatech Industries has a Quality Score of 89/100, 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.