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Banca Mediolanum S.p.A (BNMDF) Fair Value & Analysis

Financial Services · US · Market cap $16.0B

Price$21.65
Fair Value$24.76
Upside+14.4%
Quality95/100
Evidence: High Range $18.57 – $30.95

Analysis

Banca Mediolanum S.p.A (BNMDF) currently trades at $21.65, while our model-based Fair Value estimate is $24.76 — implying the stock looks roughly 14.4% 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

Banca Mediolanum S.p.A. engages in the provision of various banking products and services in Italy. It offers current accounts; deposits products; and mortgage and personal loans. The company also provides credit cards, debit cards, and prepaid cards; investment products, such as mutual funds, unit linked policies, investment strategies, trading services, asset management services, social security, and bond issues and certificates; and insurance policies, including health and personal, life, serious illness, and autonomy protection, as well as protection assistance, and home and family protection. In addition, it offers SelfyCare Pet for reimbursement of veterinary expenses; SelfyCare Travel for assistance and coverage for risks arising during trips; and SelfyCare LifeProject for a specific life project. Banca Mediolanum S.p.A. founded in 1982 and is headquartered in Basiglio, Italy.

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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.