Shenzhen Hepalink Pharmaceutical Group (SHEZF) Fair Value & Analysis
Healthcare · US · Market cap $689M
Analysis
Shenzhen Hepalink Pharmaceutical Group (SHEZF) currently trades at $0.4696, while our model-based Fair Value estimate is $0.7700 — implying the stock looks roughly 64.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Shenzhen Hepalink Pharmaceutical Group Co., Ltd. provides pharmaceutical products in Hong Kong, the United States, Europe, Mainland China, and internationally. It operates in four segments: Pharmaceutical preparations, Active Pharmaceutical Ingredients (API), Contract Development and Manufacturing Organization (CDMO), and Others. The company offers pharmaceutical preparations products, such as enoxaparin sodium injection; API products, including heparin and enoxaparin sodium APIs. It also provides molecule biologics CDMO services, which include research and development, manufacturing, quality management, and program management services, as well as technical support services. In addition, the company develops apabetalone (RVX-208), a BET bromodomain protein inhibitor in Phase 3 trial to reduce major adverse cardiovascular events, as well as in Phase 2 trial for diabetic nephropathy and fatty disease; oregovomab, a monoclonal antibody in Phase 3 trial for ovarian cancer, as well as 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.