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Genfit S.A (GNFT) Fair Value & Analysis

Healthcare · FR · Market cap €441M

Price€10.72
Fair Value€4.57
Upside-57.4%
Quality95/100
Evidence: Low Range €3.43 – €5.71

Analysis

Genfit S.A (GNFT) currently trades at €10.72, while our model-based Fair Value estimate is €4.57 — implying the stock looks roughly 57.4% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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

Genfit S.A., a late-stage biopharmaceutical company, discovers and develops drug candidates and diagnostic solutions for metabolic and liver-related diseases. The company develops Elafibranor, which is in Phase III clinical trial to treat patients with primary biliary cholangitis. It also engages in the development of NIS4 technology for the diagnosis of nonalcoholic steatohepatitis (NASH) and fibrosis; VS-01 for the treatment of Urea Cycle Disorder (UCD) and Organic Acidemia Disorder (OAD); GNS561, which is in Phase 1b/2a trial to treat patients with cholangiocarcinoma (CCA); VS-01-ACLF and Nitazoxanide (NTZ), which is in Phase 1 trial to treat acute-on-chronic liver failure, as well as VS-02-HE, which is in preclinical trial for the treatment of Reduction of Hyperammonemia and the Stabilization of Blood Ammonia; CML-022; SRT-015, an ASK1 inhibitor targets the inhibition of cellular apoptosis, inflammation, and fibrosis. The company has a licensing agreement with Labcorp for the co…

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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.