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Nanjing Hicin Pharmaceutical Co (300584) Fair Value & Analysis

Healthcare · CN · Market cap 3.8B CNY

Price¥40.62
Fair Value¥6.98
Upside-82.8%
Quality91/100
Evidence: High Range ¥4.63 – ¥11.04

Analysis

Nanjing Hicin Pharmaceutical Co (300584) currently trades at ¥40.62, while our model-based Fair Value estimate is ¥6.98 — implying the stock looks roughly 82.8% overvalued today. We read business quality at 91/100 (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

Nanjing Hicin Pharmaceutical Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of chemical preparations, APIs, and intermediates. The company's products include landiolol hydrochloride, rivaroxaban, tigecycline, torasemide, cefuroxime sodium, ceftriaxone hydrochloride, ganciclovir sodium, adenosine monophosphate, and adenosine monophosphate for injection; voglibose tablets, lansoprazole enteric-coated tablets, amlodipine besylate tablets, and glucosamine sulfate effervescent tablets/granules; and raw materials, intermediates, and other products. Its products are used in cardiovascular and cerebrovascular, diuretic, anti-infection, digestive system, immune regulation, hypoglycemic, orthopedics, and other treatment areas. Nanjing Hicin Pharmaceutical Co., Ltd. was founded in 2003 and is headquartered in Nanjing, China.

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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.