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Qwamplify (ALQWA) Fair Value & Analysis

Communication Services · FR · Market cap €9.5M

Price€1.80
Fair Value€4.50
Upside+150.0%
Quality95/100
Evidence: High Range €3.38 – €5.63

Fair value as of: Jun 25, 2026

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Analysis

Qwamplify (ALQWA) currently trades at €1.80, while our model-based Fair Value estimate is €4.50 — implying the stock looks roughly 150.0% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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: high) — always confirm before acting.

About the company

Qwamplify engages in the provision of digital marketing solutions in France. It designs and deploys plans to recruit, convert, engage, and retain consumers or customers through the web or in stores. Qwamplify was formerly known as Custom Solutions SA. The company was founded in 1997 and is headquartered in Levallois-Perret, France.

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Frequently asked questions

Is Qwamplify (ALQWA) undervalued?
As of Jun 25, 2026, our model estimates a fair value of €4.50 versus a price of €1.80 — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ALQWA?
Our 21-model fair value for Qwamplify is €4.50 (as of Jun 25, 2026), built from audited fundamentals. The current price is €1.80.
What is the quality score of ALQWA?
Qwamplify has a Quality Score of 95/100, 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.