Peijia Medical Limited (PEJMF) Fair Value & Analysis
Healthcare · US · Market cap $928M
Analysis
Peijia Medical Limited (PEJMF) currently trades at $1.39, while our model-based Fair Value estimate is $1.82 — implying the stock looks roughly 31.2% undervalued today. We read business quality at 94/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Peijia Medical Limited, together with its subsidiaries, engages in the research, development, manufacturing, and sales of transcatheter valve therapeutic and neurointerventional procedural medical devices in the People's Republic of China. It operates through Transcatheter Valve Therapeutic Business, Neurointerventional Business, and Future Technology Business segments. The company's products include transcatheter aortic valve replacement (TAVR) systems, crosslinked dry-tissue and polymeric tri leaflet TAVR systems, transcatheter aortic valve systems, lithotripsy valvuloplasty technology and interventional robotics technology, transseptal mitral valve replacement systems, transfemoral balloon catheter, introducer sheath, pre-shaped guidewire, detachable coils, balloon guide catheter, aspiration catheter, stent retriever, delivery balloon dilatation catheter, balloon dilatation catheter, microcatheter, micro guidewire, micro guidewire, guide catheter, distal access guide catheter, in…
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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.