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Akeso, Inc (AKESF) Fair Value & Analysis

Healthcare · US · Market cap $10.5B

Price$10.71
Fair Value$4.33
Upside-59.6%
Quality94/100
Evidence: Low Range $3.25 – $5.42

Analysis

Akeso, Inc (AKESF) currently trades at $10.71, while our model-based Fair Value estimate is $4.33 — implying the stock looks roughly 59.6% overvalued today. We read business quality at 94/100 (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: low).

About the company

Akeso, Inc., a biopharmaceutical company, engages in the research, development, manufacture, and commercialization of antibody drugs worldwide. The company develops AK104, a PD-1/CTLA-4 bi-specific antibody to treat cervical cancer, gastric cancer, lung cancer, and liver cancer; and AK112, a PD-1/VEGF bi-specific antibody to treat lung cancer, biliary tract cancer, head and neck squamous cell carcinoma, breast cancer, colorectal cancer, and pancreatic cancer. It is also developing AK117, a CD47 monoclonal antibody to treat myelodysplastic syndrome, acute myeloid leukemia, and recurrent or refractory classical Hodgkin lymphoma; AK109, a PD-1 monoclonal antibody to treat G/GEJ patients; penpulimab, a PD-1 for the treatment of recurrent or metastatic nasopharyngeal carcinoma (NPC); and tagitanlimab, a PD-L1 for treating recurrent or metastatic NPC. In addition, the company develops AK102, a PCSK9 monoclonal antibody to treat hypercholesterolemia and mixed hyperlipidemia; AK101, an IL-1…

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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.