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Impulse Fitness Solutions, S.A (MLIFS) Fair Value & Analysis

Consumer Cyclical · FR · Market cap €56.2M

Price€7.00
Fair Value€1.76
Upside-74.9%
Quality92/100
Evidence: Low Range €1.32 – €2.21

Fair value as of: Jun 24, 2026

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Analysis

Impulse Fitness Solutions, S.A (MLIFS) currently trades at €7.00, while our model-based Fair Value estimate is €1.76 — implying the stock looks roughly 74.9% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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: low).

About the company

Impulse Fitness Solutions, S.A. operates a chain of boutique fitness studios using integrated wireless electrical muscle stimulation (EMS) technology-suits. Its EMS suit and technology allows users participating in the same class to experience various workout intensities. The company was founded in 2017 and is based in Corunna, Spain.

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Frequently asked questions

Is Impulse Fitness Solutions, S.A (MLIFS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €1.76 versus a price of €7.00 — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MLIFS?
Our 21-model fair value for Impulse Fitness Solutions, S.A is €1.76 (as of Jun 24, 2026), built from audited fundamentals. The current price is €7.00.
What is the quality score of MLIFS?
Impulse Fitness Solutions, S.A has a Quality Score of 92/100, 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.