Shanghai MicroPort Endovascular MedTech Co (688016) Fair Value & Analysis
Healthcare · CN · Market cap 11.2B CNY
Analysis
Shanghai MicroPort Endovascular MedTech Co (688016) currently trades at ¥88.48, while our model-based Fair Value estimate is ¥100.52 — implying the stock looks roughly 13.6% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Shanghai MicroPort Endovascular MedTech Co., Ltd. engages in the research and development, manufacturing, sale, and services of aortic, peripheral vascular, and tumor intervention devices in China and internationally. The company offers Fontus, a branched stent graft system in surgical operation; CRONUS, a stent graft system in surgical operation; Hector, a multi-branch thoracic stent graft system; Cratos and Castor, a branched aortic stent graft system; Talos, a thoracic stent graft system; and Hercules, a thoracic stent graft system with low profile delivery system. It also provides Minos, an abdominal aortic stent graft and delivery System; Aorfix, an endovascular device designed for treating abdominal aortic aneurysms; Altura, a device designed for the endovascular repair of abdominal aortic aneurysms; Aegis, a bifurcated aortic stent graft system; and L-REBOA, an aortic occlusion balloon catheter. In addition, the company offers Reewarm PTX, a drug coated balloon PTA catheter; …
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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.