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SAB Finance a.s. (SABFG) Fair Value & Analysis

Financial Services · CZ · Market cap 3.2B CZK

Price1,050 CZK
Fair Value898.20 CZK
Upside-14.5%
Quality95/100
Evidence: High Range 673.65 CZK – 1,123 CZK

Fair value as of: Jun 26, 2026

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Analysis

SAB Finance a.s. (SABFG) currently trades at 1,050 CZK, while our model-based Fair Value estimate is 898.20 CZK — implying the stock looks roughly 14.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

SAB Finance a.s. provides various foreign exchange services in the Czech Republic. The company was founded in 1999 and is headquartered in Prague, the Czech Republic. SAB Finance a.s. (SEP:SABFG) operates as a subsidiary of TRINITY Banking Group a.s.

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Frequently asked questions

Is SAB Finance a.s. (SABFG) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 898.20 CZK versus a price of 1,050 CZK — about −14% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SABFG?
Our 21-model fair value for SAB Finance a.s. is 898.20 CZK (as of Jun 26, 2026), built from audited fundamentals. The current price is 1,050 CZK.
What is the quality score of SABFG?
SAB Finance a.s. 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.