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SM Wirtschaftsberatungs AG (SMWN) Fair Value & Analysis

Real Estate · DE · Market cap €18.2M

Price€4.56
Fair Value€0.5500
Upside-87.9%
Quality92/100
Evidence: High Range €0.4100 – €0.6900

Fair value as of: Jun 26, 2026

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Analysis

SM Wirtschaftsberatungs AG (SMWN) currently trades at €4.56, while our model-based Fair Value estimate is €0.5500 — implying the stock looks roughly 87.9% overvalued today. We read business quality at 92/100 (high quality), in the Real Estate 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: high).

About the company

SM Wirtschaftsberatungs AG engages in the real estate and investment businesses in Germany. It is also rents properties. The company was founded in 1996 and is based in Sindelfingen, Germany. SM Wirtschaftsberatungs AG is a subsidiary of RCM Beteiligungs AG.

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Frequently asked questions

Is SM Wirtschaftsberatungs AG (SMWN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.5500 versus a price of €4.56 — about −88% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SMWN?
Our 21-model fair value for SM Wirtschaftsberatungs AG is €0.5500 (as of Jun 26, 2026), built from audited fundamentals. The current price is €4.56.
What is the quality score of SMWN?
SM Wirtschaftsberatungs AG 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.