Beijing SL Pharmaceutical Co (002038) Fair Value & Analysis
Healthcare · CN · Market cap 5.5B CNY
Analysis
Beijing SL Pharmaceutical Co (002038) currently trades at ¥5.04, while our model-based Fair Value estimate is ¥2.64 — implying the stock looks roughly 47.6% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Beijing SL Pharmaceutical Co., Ltd., a biopharmaceutical company, research, development, and production of genetic engineering and related drugs People's Republic of China and internationally. The company's finished formulations include temozolomide; arsenic trioxide; lenalidomide capsules; pegylated human granulocyte-stimulating factor injection; human granulocyte-cell stimulating factor injection; recombinant human basic fibroblast growth factor for external use recombinant human basic fibroblast growth factor gel; human interleukin-11; arsenic trioxide; thymopentin; paclitaxel injection; docetaxel injection; vinorelbine tartrate injection; asparaginase; calcium folinate; gemcitabine hydrochloride; regorafenib tablets; oseltamivir phosphate capsules; ornidazole injection; adefovir dipivoxil capsules/adefovir dipivoxil tablets; ribavirin; valacyclovir hydrochloride; levofloxacin hydrochlorid; tenofovir disoproxil fumarate; cyclosporin injection/cyclosporin soft capsules; mycopheno…
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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.