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MINT Société anonyme (ALMIN) Fair Value & Analysis

Utilities · FR · Market cap €30.9M

Price€5.30
Fair Value€10.87
Upside+105.1%
Quality89/100
Evidence: Medium Range €8.16 – €13.59

Fair value as of: Jun 25, 2026

Analysis

MINT Société anonyme (ALMIN) currently trades at €5.30, while our model-based Fair Value estimate is €10.87 — implying the stock looks roughly 105.1% undervalued today. We read business quality at 89/100 (high quality), in the Utilities 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: medium) — always confirm before acting.

About the company

MINT Société anonyme provides renewable energy in France. The company was formerly known as Budget Telecom S.A. and changed its name to MINT Société anonyme in January 2020. MINT Société anonyme was founded in 1999 and is headquartered in Montpellier, France. MINT Société anonyme operates as a subsidiary of Mercure Energie.

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Frequently asked questions

Is MINT Société anonyme (ALMIN) undervalued?
As of Jun 25, 2026, our model estimates a fair value of €10.87 versus a price of €5.30 — about +105% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ALMIN?
Our 21-model fair value for MINT Société anonyme is €10.87 (as of Jun 25, 2026), built from audited fundamentals. The current price is €5.30.
What is the quality score of ALMIN?
MINT Société anonyme 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.