Fairvalue-Calculator Fairvalue-Calculator
EN DE

AgomAb Therapeutics NV (AGMB) Fair Value & Analysis

Healthcare · US · Market cap $492M

Price$11.94
Fair Value$9.06
Upside-24.1%
Quality91/100
Evidence: Low Range $6.79 – $11.32

Analysis

AgomAb Therapeutics NV (AGMB) currently trades at $11.94, while our model-based Fair Value estimate is $9.06 — implying the stock looks roughly 24.1% 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

AgomAb Therapeutics NV, a clinical-stage biopharmaceutical company, develops novel disease-modifying therapies for immunology and inflammatory diseases in the United States. The company's product pipeline includes Ontunisertib (AGMB-129), an oral gastrointestinal-restricted small molecule inhibitor of ALK5 or TGFßR1 for the treatment of Fibrostenosing Crohn's disease, which is in Phase 2a clinical trials; and AGMB-447, an inhaled small molecule inhibitor of ALK5 or TGFßR1 for the treatment of idiopathic pulmonary fibrosis that is in Phase 1 clinical trials. It also develops AGMB-101, a HGF-mimetic monoclonal antibody that acts through agonism or stimulation of the MET receptor and has demonstrated antifibrotic and regenerative activity in preclinical models. The company was incorporated in 2017 and is headquartered in Antwerp, Belgium.

Open the full interactive analysis →

Similar stocks

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.