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JNBY Design Limited (JNBBY) Fair Value & Analysis

Consumer Cyclical · US · Market cap $937M

Price$8.86
Fair Value$24.87
Upside+180.7%
Quality95/100
Evidence: High Range $15.16 – $31.09

Analysis

JNBY Design Limited (JNBBY) currently trades at $8.86, while our model-based Fair Value estimate is $24.87 — implying the stock looks roughly 180.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

JNBY Design Limited, together with its subsidiaries, engages in the design, marketing, retail, and sale of fashion apparels, accessory products, and household goods in the People's Republic of China and internationally. It operates through three segments: Mature Brand, Younger Brands, and Emerging Brands. The company offers contemporary apparel, footwear, and accessories for women, men, and children, as well as household products under the JNBY, CROQUIS, jnby by JNBY, LESS, POMME DE TERRE, JNBYHOME, onmygame, and B1OCK brands. It sells its products through offline retail stores comprising self-operated stores and distributor-operated stores, as well as online channels. The company was formerly known as Croquis Investment Limited and changed its name to JNBY Design Limited in June 2016. JNBY Design Limited was founded in 1994 and is headquartered in Hangzhou, 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.