iBio, Inc (IBIO) Fair Value & Analysis
Healthcare · US · Market cap $84.0M
Fair value as of: Jun 24, 2026
Analysis
iBio, Inc (IBIO) currently trades at $1.65, while our model-based Fair Value estimate is $1.35 — implying the stock looks roughly 18.2% overvalued today. We read business quality at 95/100 (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
iBio, Inc., a preclinical stage biotechnology company, engages in the development of artificial intelligence (AI) antibodies solutions for cardiometabolic and obesity space. The company's technology platforms include EngageTx that provides improved CD3 T-cell engager antibody panel; ShieldTx, an antibody masking technology that enables the creation of conditionally activated antibodies; StableHu, an AI antibody-optimizing technology; and AI epitope steering technology that guides antibodies against the desired regions of the target protein. Its product pipelines for cardiometabolic disease area include IBIO-101, an anti-CD25 Mab that binds and depletes immunosuppressive regulatory treg cells to inhibit the growth of solid tumors; CCR8, an antibody that enhance the body's immune response against cancer cells; and MUC16 antibodies. In addition, the company is developing EGFRvIII, an antibody therapeutics that targets EGFRvIII protein with the aim to address these cancer types without …
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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.