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Smalto Holding (MLSML) Fair Value & Analysis

Consumer Cyclical · FR · Market cap €670K

Price€0.0290
Fair Value€0.1300
Upside+348.3%
Quality89/100
Evidence: Low Range €0.1000 – €0.1700

Fair value as of: Jun 23, 2026

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Analysis

Smalto Holding (MLSML) currently trades at €0.0290, while our model-based Fair Value estimate is €0.1300 — implying the stock looks roughly 348.3% undervalued today. We read business quality at 89/100 (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

Smalto Holding SA designs and sells ready to wear and accessories. The company ready to wear includes autumn winter, suits, tuxedos, jackets, pants, vests, coats and leathers, knit and jersey, shirts, and ceremonial outfits; and accessories comprise shoes; scarf, beanie, and hat and cap; leather goods and belt; ties, bow ties, and pocket squares; cufflinks and jewelry; eyeglasses; and gloves. Smalto Holding SA was formerly known as DS Holding SA and changed its name to Smalto Holding SA in May 2009. The company is based in Paris, France.

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Frequently asked questions

Is Smalto Holding (MLSML) undervalued?
As of Jun 23, 2026, our model estimates a fair value of €0.1300 versus a price of €0.0290 — about +348% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MLSML?
Our 21-model fair value for Smalto Holding is €0.1300 (as of Jun 23, 2026), built from audited fundamentals. The current price is €0.0290.
What is the quality score of MLSML?
Smalto Holding 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.