111, Inc (YI) Fair Value & Analysis
Healthcare · US · Market cap $35.3M
Fair value as of: Jun 25, 2026
Analysis
111, Inc (YI) currently trades at $4.01, while our model-based Fair Value estimate is $5.05 — implying the stock looks roughly 26.0% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
111, Inc., together with its subsidiaries, operates an integrated online and offline platform in the healthcare market in the People's Republic of China. It operates through two segments, B2C and B2B. The company offers supply chain integration services that help pharmaceutical companies manage products through online and offline channels; product promotion, customer analytics, patient education, and brand awareness services; and marketing and channel data services. It also provides 1 Pharmacy online wholesale pharmacy that offers pharmaceutical and other health and wellness products; and 1 Medicine Marketplace online retail pharmacy that provides drugs, nutritional supplements, medical supplies and devices, personal care, and baby products. In addition, the company offers online loan application services; cloud-based inventory management services; smart procurement services, which collect pharmacies' historical purchase orders and inventory data; and Hawkeye automated salesforce to…
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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.