iBio, Inc.

iBio, Inc. is a U.S.-based preclinical biotechnology company focused on discovering and developing precision antibodies for cardiometabolic and obesity-related diseases. The company uses an AI and machine learning drug discovery platform, and it also develops and licenses early-stage biologic candidates and related intellectual property.

−34 583,0 %

−33 044,0 %

−75,0 %

7.85

— iBio, Inc.
%
AI Drug Discovery Platform10% Computational platform used to identify and optimize novel biologics and precision antibodies.
Preclinical Antibody Programs55% Early-stage therapeutic candidates such as IBIO-600 and IBIO-610 aimed at cardiometabolic and obesity targets.
Licensing and Collaboration Revenue20% Revenue from research services, licenses, and partner collaborations tied to discovery assets.
Intellectual Property and Platform Assets15% Owned patents, know-how, and related assets that support development and partnering.

iBio’s direct customers are typically pharmaceutical and biotechnology partners that license programs, fund...

  • Pharmaceutical licensing partnersprimary

    Large or mid-sized drug companies that may license iBio candidates or IP to advance development and commercialization.

  • Biotechnology collaboratorsprimary

    Smaller biotech firms or research groups that collaborate on discovery, validation, or target-specific programs.

  • Research services customerssecondary

    Counterparties that pay for collaborative research, assay work, or related services tied to platform capabilities.

  • Future therapeutic end usersemerging

    Patients and clinicians in cardiometabolic and obesity indications who would use approved products if programs succeed.

iBio is headquartered in the United States and conducts its research and development primarily in San Diego...

  • United States is the operational base and primary R&D location
  • San Diego facilities house core research and lab activity
  • Worldwide licensing rights support global partnering potential
  • Third-party suppliers include U.S. and non-U.S. vendors
  • No meaningful country revenue disclosure was provided

iBio’s strategy is to advance a small number of preclinical antibody programs while using its AI platform to generate...

01
Advance preclinical pipeline assetsshort-term

Pipeline programs are the main source of future value and partnering leverage.

02
Expand AI-driven discovery outputmedium-term

The platform is intended to generate novel biologics that can be licensed or developed.

03
Secure collaborations and licensesmedium-term

Partnerships can fund development and create non-dilutive value from early assets.

iBio faces the typical risks of an early-stage biotech company: clinical and preclinical failure, regulatory...

critical

Development-stage program failure

The company is still preclinical, so scientific or translational setbacks could eliminate asset value.

Scope
IBIO-600, IBIO-610 and other pipeline assets
Materiality
high
high

Capital access and dilution

Long-duration R&D requires external funding before product revenue is available.

Scope
Equity issuance, warrants, and other financing sources
Materiality
high
high

Partner and collaborator dependence

Some programs rely on licensees or collaborators to advance development and commercialization.

Scope
Collaborative research and licensing arrangements
Materiality
medium
high

Competitive and regulatory pressure

Larger biotech and pharma firms have more resources for R&D, trials, and approvals.

Scope
AI drug discovery and precision antibody markets
Materiality
high
medium

Supplier and outsourcing concentration

Key materials and services are outsourced and may have long lead times or limited alternatives.

Scope
Lonza Sales AG, Twist Bioscience and other third parties
Materiality
medium
Indefinite-lived intangible asset impairment
Could create non-cash impairment charges and affect equity value
Collaboration and license revenue recognition
Can cause uneven quarterly revenue
Fair value estimates and WACC
Affects asset carrying values and impairment conclusions
R&D expense classification
Influences operating loss and comparability across periods

: 29/04/2026