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Scherzer & Co (PZS) Fair Value & Analysis

Financial Services · DE · Market cap €72.7M

Price€2.74
Fair Value€3.09
Upside+12.8%
Quality95/100
Evidence: High Range €2.31 – €3.86

Fair value as of: Jun 26, 2026

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Analysis

Scherzer & Co (PZS) currently trades at €2.74, while our model-based Fair Value estimate is €3.09 — implying the stock looks roughly 12.8% undervalued today. We read business quality at 95/100 (high quality), in the Financial 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

Scherzer & Co. AG is a publicly owned investment manager. The firm provides its services to Institutional and private investors. The firm focuses on high-growth companies that have a sustainable business model. Scherzer & Co. AG was founded in 1880 and is based in Cologne, Germany.

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Frequently asked questions

Is Scherzer & Co (PZS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €3.09 versus a price of €2.74 — about +13% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PZS?
Our 21-model fair value for Scherzer & Co is €3.09 (as of Jun 26, 2026), built from audited fundamentals. The current price is €2.74.
What is the quality score of PZS?
Scherzer & Co 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.