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Banque Cantonale du Jura SA (BCJ) Fair Value & Analysis

Financial Services · CH · Market cap CHF 269M

PriceCHF 76.00
Fair ValueCHF 53.35
Upside-29.8%
Quality95/100
Evidence: High Range CHF 40.01 – CHF 66.69

Fair value as of: Jun 26, 2026

Analysis

Banque Cantonale du Jura SA (BCJ) currently trades at CHF 76.00, while our model-based Fair Value estimate is CHF 53.35 — implying the stock looks roughly 29.8% 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

Banque Cantonale du Jura SA provides various banking products and services to individuals and businesses in Switzerland. The company offers various accounts, youth accounts, personal loans, mortgages, funding services, and debit and credit cards. It also provides wealth management and investment advice, credit, asset management, payment, and e-banking services. The company was founded in 1979 and is based in Porrentruy, Switzerland.

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Frequently asked questions

Is Banque Cantonale du Jura SA (BCJ) undervalued?
As of Jun 26, 2026, our model estimates a fair value of CHF 53.35 versus a price of CHF 76.00 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BCJ?
Our 21-model fair value for Banque Cantonale du Jura SA is CHF 53.35 (as of Jun 26, 2026), built from audited fundamentals. The current price is CHF 76.00.
What is the quality score of BCJ?
Banque Cantonale du Jura SA 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.