TransMedics Group (TMDX) Fair Value & Analysis
Healthcare · US · Market cap $2.5B
Fair value as of: Jun 24, 2026
Analysis
TransMedics Group (TMDX) currently trades at $73.83, while our model-based Fair Value estimate is $61.32 — implying the stock looks roughly 16.9% 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: high).
About the company
TransMedics Group, Inc., a commercial-stage medical technology company, engages in transforming organ transplant therapy for end-stage organ failure patients in the United States and internationally. The company provides Organ Care System (OCS), a portable organ perfusion, optimization, and monitoring system that utilizes its proprietary and customized technology to replicate near-physiologic conditions for donor organs outside of the human body. Its OCS includes OCS LUNG for the preservation of standard criteria donor lungs for double-lung transplantation; OCS Heart, a technology for preservation of DBD donor hearts deemed unsuitable due to limitations of cold storage and for ex vivo reanimation, functional monitoring, and beating-heart preservation of donation-after-circulatory-death hearts; and OCS Liver for the preservation of DBD and DCD of donor livers. The company also developed national OCS program, a turnkey solution for outsourced organ retrieval; and provides OCS organ ma…
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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.