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Czerwona Torebka Spólka Akcyjna (CZT) Fair Value & Analysis

Real Estate · PL · Market cap 45.0M PLN

Price1.00 PLN
Fair Value0.5951 PLN
Upside-40.5%
Quality95/100
Evidence: Low Range 0.2690 PLN – 1.02 PLN

Fair value as of: Jun 26, 2026

Analysis

Czerwona Torebka Spólka Akcyjna (CZT) currently trades at 1.00 PLN, while our model-based Fair Value estimate is 0.5951 PLN — implying the stock looks roughly 40.5% overvalued today. We read business quality at 95/100 (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: low).

About the company

Czerwona Torebka Spólka Akcyjna engages in real estate activities in Poland. It is also involved in other consultancy in the field of business and management; and real estate brokerage. The company was incorporated in 2007 and is headquartered in Poznan, Poland.

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Frequently asked questions

Is Czerwona Torebka Spólka Akcyjna (CZT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.5951 PLN versus a price of 1.00 PLN — about −40% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CZT?
Our 21-model fair value for Czerwona Torebka Spólka Akcyjna is 0.5951 PLN (as of Jun 26, 2026), built from audited fundamentals. The current price is 1.00 PLN.
What is the quality score of CZT?
Czerwona Torebka Spólka Akcyjna 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.