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Pharma Foods International Co (PMDSF) Fair Value & Analysis

Healthcare · US · Market cap $186M

Price$6.40
Fair Value$11.84
Upside+85.0%
Quality87/100
Evidence: Medium Range $9.65 – $14.54

Fair value as of: Jun 24, 2026

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Analysis

Pharma Foods International Co (PMDSF) currently trades at $6.40, while our model-based Fair Value estimate is $11.84 — implying the stock looks roughly 85.0% undervalued today. We read business quality at 87/100 (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

Pharma Foods International Co., Ltd. engages in the development and sale of functional food ingredients in Japan. It also focuses on biomedical drug discovery of antibody and peptide drugs targeting diseases, including autoimmune, cancer, and inflammatory. The company was founded in 1997 and is headquartered in Kyoto, Japan.

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Frequently asked questions

Is Pharma Foods International Co (PMDSF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $11.84 versus a price of $6.40 — about +85% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PMDSF?
Our 21-model fair value for Pharma Foods International Co is $11.84 (as of Jun 24, 2026), built from audited fundamentals. The current price is $6.40.
What is the quality score of PMDSF?
Pharma Foods International Co has a Quality Score of 87/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.