Jiangsu Yahong Meditech Co (688176) Fair Value & Analysis
Healthcare · CN · Market cap 5.9B CNY
Analysis
Jiangsu Yahong Meditech Co (688176) currently trades at ¥9.99, while our model-based Fair Value estimate is ¥12.42 — implying the stock looks roughly 24.3% undervalued today. We read business quality at 94/100 (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: low) — always confirm before acting.
About the company
Jiangsu Yahong Meditech Co., Ltd., a pharmaceutical company, focuses on urogenital tumors and women's health in China and internationally. It develops APL-1702, a photodynamic therapy product for the treatment of high-grade squamous intraepithelial lesions of the cervix, as well as for HPV virus clearance indication; APL-1706 and APLD-2304 for non-muscle invasive bladder cancer (NMIBC) diagnosis and surgery indication; APL-1202, an oral reversible MetAP2 inhibitor for untreated intermediate-risk NMIBC and neoadjuvant therapy before muscle-invasive bladder cancer indication, as well as for free-living amoeba infection indication; APL-1501 and APL-2401 to treat urinary system tumors. The company also develops product candidates for the treatment of breast cancer and gynecological tumors under the APL-2302, APL-2501, AT-018, and AT-021 names. In addition, it develops APL-1401, a dopamine ß- hydroxylase inhibitor to treat moderate to severe active ulcerative colitis; and APL-2301 for tr…
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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.