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Doppler S.A (DOPPLER) Fair Value & Analysis

Industrials · GR · Market cap €10.9M

Price€0.8900
Fair Value€0.3900
Upside-56.2%
Quality95/100
Evidence: Medium Range €0.2700 – €0.5000

Fair value as of: Jun 24, 2026

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Analysis

Doppler S.A (DOPPLER) currently trades at €0.8900, while our model-based Fair Value estimate is €0.3900 — implying the stock looks roughly 56.2% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: medium).

About the company

Doppler S.A. engages in design, production, installation and maintenance of elevators, elevator components, and mechanical components and structures worldwide. It offers passenger lifts, home lifts, car lifts, goods lifts, dumbwaiters, escalators, and travelators, as well as photovoltaic systems. The company was founded in 2000 and is headquartered in Polykastro, Greece.

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Frequently asked questions

Is Doppler S.A (DOPPLER) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €0.3900 versus a price of €0.8900 — about −56% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DOPPLER?
Our 21-model fair value for Doppler S.A is €0.3900 (as of Jun 24, 2026), built from audited fundamentals. The current price is €0.8900.
What is the quality score of DOPPLER?
Doppler S.A 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.