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Eagle Filters Group (EAGLE) Fair Value & Analysis

Industrials · FI · Market cap €20.1M

Price€0.0712
Fair Value€0.0300
Upside-57.9%
Quality95/100
Evidence: Low Range €0.0200 – €0.0300

Fair value as of: Jun 23, 2026

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Analysis

Eagle Filters Group (EAGLE) currently trades at €0.0712, while our model-based Fair Value estimate is €0.0300 — implying the stock looks roughly 57.9% 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: low).

About the company

Eagle Filters Group Oyj, a material technology company, provides filtration solutions for the energy industry in Finland. The company provides air filtration products for clean energy, advanced materials, and respirators for health and safety. It serves HVAC filter manufacturers. The company was incorporated in 2005 and is based in Helsinki, Finland.

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Frequently asked questions

Is Eagle Filters Group (EAGLE) undervalued?
As of Jun 23, 2026, our model estimates a fair value of €0.0300 versus a price of €0.0712 — about −58% (overvalued). Model-based estimate, not financial advice.
What is the fair value of EAGLE?
Our 21-model fair value for Eagle Filters Group is €0.0300 (as of Jun 23, 2026), built from audited fundamentals. The current price is €0.0712.
What is the quality score of EAGLE?
Eagle Filters Group 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.