MeiraGTx Holdings (MGTX) Fair Value & Analysis
Healthcare · US · Market cap $1.0B
Analysis
MeiraGTx Holdings (MGTX) currently trades at $11.48, while our model-based Fair Value estimate is $3.08 — implying the stock looks roughly 73.2% 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
MeiraGTx Holdings plc, a clinical-stage genetic medicines company, focusing on developing treatments for patients with serious diseases. The company develops various therapies for ocular diseases, including inherited retinal diseases and large degenerative ocular diseases; neurodegenerative diseases; and xerostomia. It is also develops AAV-AQP1 for radiation-induced grade 2/3 radiation-induced xerostomia, as well as for Sjogren's syndrome; AAV-GAD in Phase 2 trial for Parkinson's disease; AAV-RPE65 in Phase 2 trial for RPE65-associated retinal dystrophy; and AAV-CNGB3 and AAV-CNGA3, which are both in Phase ½ clinical trial for achromatopsia, as well as offers AAV-AIPL1 for Leber congenital amaurosis (LCA) 4. In addition, the company's products under preclinical development include AAV-RDH12 for retinol dehydrogenase 12 mutation-associated retinal dystrophy; AAV-BBS10 for Bardet-Biedl syndrome (BBS) due to BBS10 mutations; AAV-RetGC for LCA type 1; and AAV-UPF1 for amyotrophic latera…
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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.