Meiwu Technology Company (WNW) Fair Value & Analysis
Consumer Cyclical · US · Market cap $5.0M
Fair value as of: Jun 25, 2026
Analysis
Meiwu Technology Company (WNW) currently trades at $3.76, while our model-based Fair Value estimate is $3.33 — implying the stock looks roughly 11.4% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: low).
About the company
Meiwu Technology Company Limited, through its subsidiaries, engages in online and mobile commerce business in the People's Republic of China. It operates in three segments: Quality Food Products Platform, Skincare Products & Service, and Technical Service. The company sells skin care products, including essence, serum, collagen, and prebiotics solid beverage; provides skin care training services; and operates an electronic online platform designed to provide primarily clean food to customers. It also provides communication platform-as-a-service (CPaaS), that allows customers to send text messages using its cloud-based platform; and technical and maintenance services. In addition, the company offers grains, oil, and spices; fresh fruits and vegetables; meat, poultry, and eggs; dried seafood; beverages, alcohol, and tea; groceries; and other food. It sells its products through its e-commerce website and offline sale. The company was formerly known as Wunong Net Technology Company Limi…
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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.