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Finaxo Environnement Societe Anonyme (MLFXO) Fair Value & Analysis

Industrials · FR · Market cap €8.5M

Price€4.60
Fair Value€3.35
Upside-27.2%
Quality86/100
Evidence: Medium Range €2.50 – €4.19

Fair value as of: Jun 24, 2026

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Analysis

Finaxo Environnement Societe Anonyme (MLFXO) currently trades at €4.60, while our model-based Fair Value estimate is €3.35 — implying the stock looks roughly 27.2% overvalued today. We read business quality at 86/100 (high quality), in the Industrials 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

Finaxo Environnement Societe Anonyme engages in the design, manufacture, and sale of wastewater or stormwater equipment. It also provides potable water production systems. The company was incorporated in 1994 and is headquartered in Ciry-Salsogne, France.

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Frequently asked questions

Is Finaxo Environnement Societe Anonyme (MLFXO) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €3.35 versus a price of €4.60 — about −27% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MLFXO?
Our 21-model fair value for Finaxo Environnement Societe Anonyme is €3.35 (as of Jun 24, 2026), built from audited fundamentals. The current price is €4.60.
What is the quality score of MLFXO?
Finaxo Environnement Societe Anonyme has a Quality Score of 86/100, 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.