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Shenyang Xingqi Pharmaceutical Co (300573) Fair Value & Analysis

Healthcare · CN · Market cap 13.2B CNY

Price¥37.06
Fair Value¥37.93
Upside+2.3%
Quality95/100
Evidence: High Range ¥28.56 – ¥82.30

Analysis

Shenyang Xingqi Pharmaceutical Co (300573) currently trades at ¥37.06, while our model-based Fair Value estimate is ¥37.93 — implying the stock looks roughly 2.3% 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

Shenyang Xingqi Pharmaceutical Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of ophthalmic drugs in the People's Republic of China. The company offers myopia prevention and control medications, nutrition and corneal repair drugs, ophthalmic anti-inflammatory and anti-infective drugs, artificial tears and eye lubricants, ophthalmic non-steroidal anti-inflammatory drugs, intraocular rinsing fluids, pupil dilatant and ciliary muscle paralyzers, anti-fatigue medicines, dry eye treatment medicines, mydriatics and cycloplegia drugs, miotics and anti-glaucoma drugs, and intraoperative intraocular irrigation fluids. It also engages in technology development, technical advice, eye hospital, and research and experimental development activities. Shenyang Xingqi Pharmaceutical Co.,Ltd. was founded in 1977 and is based in Shenyang, the People's Republic of 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.