Pyxis Oncology, Inc (PYXS) Fair Value & Analysis
Healthcare · US · Market cap $129M
Fair value as of: Jun 24, 2026
Analysis
Pyxis Oncology, Inc (PYXS) currently trades at $2.10, while our model-based Fair Value estimate is $3.79 — implying the stock looks roughly 80.5% undervalued today. We read business quality at 95/100 (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
Pyxis Oncology, Inc., a clinical stage company, engages in the development of therapeutics to treat solid tumors. Its lead antibody-drug conjugates (ADC) product candidate is PYX-201, an investigational novel ADC consisting of human immunoglobulin G1 (IgG1), which is in Phase 1 clinical trial to treat patients with relapsed or refractory solid tumors; PYX-102, an investigational immunotherapeutic targeting KLRG1, an inhibitory receptor on T cells and NK cells, with potential for use as monotherapy or in combination treatments; and lead immuno-oncology (IO) product candidate is PYX-106, an investigational fully human IgG1 Siglec-15-targeting antibody that is in Phase 1 clinical trial to treat patients with advanced solid tumors. The company is also developing PYX-107, a CD40 agonist with demonstrated anti-cancer activity in patients with several cancer indications, which is in Phase 2 clinical trial for the treatment of tumors, such as soft tissue sarcomas, esophageal and gastroesoph…
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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.