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GNI Group (GNIIF) Fair Value & Analysis

Healthcare · US · Market cap $864M

Price$15.50
Fair Value$16.73
Upside+7.9%
Quality92/100
Evidence: Low Range $12.55 – $20.91

Analysis

GNI Group (GNIIF) currently trades at $15.50, while our model-based Fair Value estimate is $16.73 — implying the stock looks roughly 7.9% undervalued today. We read business quality at 92/100 (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

GNI Group Ltd., together with its subsidiaries, engages in the research, development, manufacturing, and sale of pharmaceuticals and biomaterials in Japan, China, and the United States. It operates in two segments, Pharmaceutical Business and Medical Equipment Business. The company offers ETUARY for the treatment of idiopathic pulmonary fibrosis; H-GENIN Crush-Mix for the treatment of bone defects; AltiPly for the treatment of acute and chronic wounds; and orthobiologics products. It also develops ETUARY which is in Phase III clinical trial for the treatment of pneumoconiosis, dermatomyositis interstitial lung disease, and systemic sclerosis-associated interstitial lung disease; and F351 which is in Phase III clinical trial for the treatment of chronic hepatitis B liver fibrosis. In addition, the company is involved in the development of ETUARY which is in Phase II clinical trial for the treatment of radiation-induced lung injury with or without immune-related pneumonitis; F573 whic…

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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.