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Grupo Supervielle S.A (SUPV) Fair Value & Analysis

Financial Services · US · Market cap $955M

Price$9.35
Fair Value$6.11
Upside-34.7%
Quality95/100
Evidence: Low Range $3.10 – $9.16

Analysis

Grupo Supervielle S.A (SUPV) currently trades at $9.35, while our model-based Fair Value estimate is $6.11 — implying the stock looks roughly 34.7% 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: low).

About the company

Grupo Supervielle S.A., a financial services holding company, provides various banking products and services in Argentina. The company operates through Personal & Business Banking, Corporate Banking, Bank Treasury, Insurance, and Asset Management and Other Services segments. It offers savings and checking accounts, and time deposits; personal, mortgage, unsecured, and car loans; overdrafts; loans with special facilities for project and working capital financing; and leasing, bank guarantees for tenants, salary advances, domestic and international factoring, international guarantees and letters of credit, payroll payment plans, and credit and debit cards, as well as financial services and investments, such as mutual funds, guarantees, and benefit payments for senior citizens. The company also provides foreign trade and cash management; advisory services; treasury services; insurance products comprising life, home, personal accidents, technology, ATMs, protected bag and content, and i…

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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.