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Sionna Therapeutics, Inc (SION) Fair Value & Analysis

Healthcare · US · Market cap $1.8B

Price$39.87
Fair Value$30.58
Upside-23.3%
Quality91/100
Evidence: Low Range $22.94 – $38.23

Analysis

Sionna Therapeutics, Inc (SION) currently trades at $39.87, while our model-based Fair Value estimate is $30.58 — implying the stock looks roughly 23.3% overvalued today. We read business quality at 91/100 (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

Sionna Therapeutics, Inc., a clinical-stage biopharmaceutical company, researches and develops medicines for the treatment of cystic fibrosis (CF). It develops galicaftor (SION-2222), a transmembrane domain 1 (TMD1)-directed cystic fibrosis transmembrane conductance regulator (CFTR) that has completed Phase 2 trial; navocaftor (SION-3067), a potentiator that has completed Phase 2 trial; SION-109, an intracellular loop 4 directed CFTR corrector that has completed Phase 1 trial; SION-2851, a TMD1-directed CFTR corrector that has completed Phase 1 trial; SION-451, which is nucleotide-binding domain 1 stabilizer in Phase 1 trial; and SION-719, which is nucleotide-binding domain 1 stabilizer in Phase 2a proof-of-concept trial. The company was formerly known as Sling Therapeutics, Inc. and changed its name to Sionna Therapeutics, Inc. in July 2021. Sionna Therapeutics, Inc. was incorporated in 2019 and is headquartered in Waltham, Massachusetts.

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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.