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Colipays Reunion Société anonyme (MLCLP) Fair Value & Analysis

Consumer Cyclical · FR · Market cap €4.7M

Price€2.12
Fair Value€3.75
Upside+76.9%
Quality84/100
Evidence: Low Range €2.82 – €4.69

Fair value as of: Jun 24, 2026

Analysis

Colipays Reunion Société anonyme (MLCLP) currently trades at €2.12, while our model-based Fair Value estimate is €3.75 — implying the stock looks roughly 76.9% undervalued today. We read business quality at 84/100 (high quality), in the Consumer Cyclical 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: low) — always confirm before acting.

About the company

Colipays Reunion Société anonyme provides package shipping services. The company offers shipping services for products comprising fruits, sweets, flowers, alcohol products, business boxes, Reunionese specialties, etc. It offers its products through its e-commerce site. The company was incorporated in 1991 and is based in Sainte-Marie, France.

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Frequently asked questions

Is Colipays Reunion Société anonyme (MLCLP) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €3.75 versus a price of €2.12 — about +77% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MLCLP?
Our 21-model fair value for Colipays Reunion Société anonyme is €3.75 (as of Jun 24, 2026), built from audited fundamentals. The current price is €2.12.
What is the quality score of MLCLP?
Colipays Reunion Société anonyme has a Quality Score of 84/100, 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.