Kaken Pharmaceutical Co (KKPCF) Fair Value & Analysis
Healthcare · US · Market cap $985M
Fair value as of: Jun 24, 2026
Analysis
Kaken Pharmaceutical Co (KKPCF) currently trades at $26.00, while our model-based Fair Value estimate is $7.77 — implying the stock looks roughly 70.1% overvalued today. We read business quality at 97/100 (high quality), in the Healthcare 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: medium).
About the company
Kaken Pharmaceutical Co., Ltd. produces, markets, and sells medical products, medical devices, and agrochemicals in Japan and internationally. The company offers pharmaceutical products and medical devices, such as Clenafin, a topical treatment for onychomycosis; Artz, an anti-osteoarthritis agent; Fiblast, a wound-healing agent; Ecclock for the treatment of primary axillary hyperhidrosis; Regroth, a periodontal regenerative agent; Hernicore for the treatment of lumbar disc herniation; and Seprafilm, an adhesion barrier used primarily in surgery and gynecology to reduce complications from post-operative adhesions. It also provides agrochemicals and animal health products, including Polyoxins, that are used as fungicides; Pentoxazone and Metamifop rice herbicides; Salinomycin, an anti-coccidial feed additive for chickens; and Uroston, a urinary stone dissolution and elimination acceleration agent for cattle. In addition, the company is developing KMW-1 for the removal of eschar; KAR,…
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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.