2024 Q1 Form 10-Q Financial Statement

#000155837024000934 Filed on February 09, 2024

View on sec.gov

Income Statement

Concept 2024 Q1 2023 Q4
Revenue $0.00 $0.00
YoY Change
Cost Of Revenue
YoY Change
Gross Profit
YoY Change
Gross Profit Margin
Selling, General & Admin $2.722M $2.961M
YoY Change -22.78% -59.04%
% of Gross Profit
Research & Development $904.0K $1.535M
YoY Change -65.81% -44.76%
% of Gross Profit
Depreciation & Amortization $235.0K $235.0K
YoY Change 21.76% -2.49%
% of Gross Profit
Operating Expenses $3.626M $4.496M
YoY Change -41.22% -57.48%
Operating Profit -$3.626M -$4.496M
YoY Change -41.22% -57.48%
Interest Expense $52.00K $34.00K
YoY Change 48.57% 9.68%
% of Operating Profit
Other Income/Expense, Net $991.0K $8.000K
YoY Change -1000.91% -20.0%
Pretax Income -$2.635M -$4.488M
YoY Change -58.03% -57.51%
Income Tax $0.00 $0.00
% Of Pretax Income
Net Earnings -$3.172M -$8.211M
YoY Change -56.51% -75.53%
Net Earnings / Revenue
Basic Earnings Per Share -$0.85 -$4.42
Diluted Earnings Per Share -$0.85 -$4.42
COMMON SHARES
Basic Shares Outstanding 3.484M 28.10M
Diluted Shares Outstanding 3.713M 1.856M

Balance Sheet

Concept 2024 Q1 2023 Q4
SHORT-TERM ASSETS
Cash & Short-Term Investments $5.302M $2.788M
YoY Change -19.2% -71.03%
Cash & Equivalents $5.302M $2.788M
Short-Term Investments
Other Short-Term Assets $16.73M $16.91M
YoY Change -13.25% -18.97%
Inventory $0.00 $0.00
Prepaid Expenses
Receivables
Other Receivables
Total Short-Term Assets $36.14M $19.70M
YoY Change 33.39% -48.48%
LONG-TERM ASSETS
Property, Plant & Equipment $3.726M $3.890M
YoY Change -14.5% -8.36%
Goodwill
YoY Change
Intangibles $5.373M $5.378M
YoY Change -0.37% -0.37%
Long-Term Investments
YoY Change
Other Assets $265.0K $265.0K
YoY Change -91.98% -12.54%
Total Long-Term Assets $14.02M $14.32M
YoY Change -18.96% 5.59%
TOTAL ASSETS
Total Short-Term Assets $36.14M $19.70M
Total Long-Term Assets $14.02M $14.32M
Total Assets $50.15M $34.02M
YoY Change 13.0% -34.32%
SHORT-TERM LIABILITIES
YoY Change
Accounts Payable $1.228M $1.859M
YoY Change -39.0% -53.55%
Accrued Expenses $3.998M $3.757M
YoY Change 4.63% -24.88%
Deferred Revenue $175.0K
YoY Change
Short-Term Debt $12.66M $12.66M
YoY Change -7.63% -20.96%
Long-Term Debt Due $673.0K $453.0K
YoY Change 59.86% 10.22%
Total Short-Term Liabilities $21.43M $21.55M
YoY Change -3.82% -22.4%
LONG-TERM LIABILITIES
Long-Term Debt $1.064M $360.0K
YoY Change -28.88% -80.83%
Other Long-Term Liabilities $2.801M $2.912M
YoY Change -13.15% -12.39%
Total Long-Term Liabilities $3.865M $3.272M
YoY Change -18.13% -37.1%
TOTAL LIABILITIES
Total Short-Term Liabilities $21.43M $21.55M
Total Long-Term Liabilities $3.865M $3.272M
Total Liabilities $25.29M $24.83M
YoY Change -6.32% -24.72%
SHAREHOLDERS EQUITY
Retained Earnings -$306.1M -$302.9M
YoY Change 8.19% 9.9%
Common Stock $330.9M $312.1M
YoY Change 10.2% 5.94%
Preferred Stock
YoY Change
Treasury Stock (at cost)
YoY Change
Treasury Stock Shares
Shareholders Equity $24.86M $9.197M
YoY Change
Total Liabilities & Shareholders Equity $50.15M $34.02M
YoY Change 13.0% -34.32%

Cashflow Statement

Concept 2024 Q1 2023 Q4
OPERATING ACTIVITIES
Net Income -$3.172M -$8.211M
YoY Change -56.51% -75.53%
Depreciation, Depletion And Amortization $235.0K $235.0K
YoY Change 21.76% -2.49%
Cash From Operating Activities -$3.654M -$4.706M
YoY Change -5.63% -38.36%
INVESTING ACTIVITIES
Capital Expenditures $0.00
YoY Change -100.0%
Acquisitions
YoY Change
Other Investing Activities $1.000M $0.00
YoY Change -87.56% -100.0%
Cash From Investing Activities $1.000M $0.00
YoY Change -87.87% -100.0%
FINANCING ACTIVITIES
Cash Dividend Paid
YoY Change
Common Stock Issuance & Retirement, Net
YoY Change
Debt Paid & Issued, Net
YoY Change
Cash From Financing Activities 5.025M 4.007M
YoY Change 243.24% -231.64%
NET CHANGE
Cash From Operating Activities -3.654M -4.706M
Cash From Investing Activities 1.000M 0.000
Cash From Financing Activities 5.025M 4.007M
Net Change In Cash 2.371M -699.0K
YoY Change -59.35% -94.14%
FREE CASH FLOW
Cash From Operating Activities -$3.654M -$4.706M
Capital Expenditures $0.00
Free Cash Flow -$4.706M
YoY Change -55.56%

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<p style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-weight:bold;margin:0pt 0pt 10pt 0pt;">1.   Nature of Business</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">iBio, Inc. (the "Company" or “iBio”) is a preclinical stage biotechnology company that leverages the power of Artificial Intelligence (“AI”) for the development of precision antibodies. The Company’s proprietary technology stack is designed to minimize downstream development risks by employing AI-guided epitope-steering and monoclonal antibody (“mAb’) optimization.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">In September 2022, the Company made a strategic pivot by acquiring substantially all of the assets of RubrYc Therapeutics, Inc. ("RubrYc"). This acquisition commenced the Company’s transition to an AI-enabled biotech company and led to the divestiture of its Contract Development and Manufacturing Organization (“CDMO”) business. This strategic decision allowed the Company to focus resources on the development of AI-powered precision antibodies, positioning iBio at the forefront of this exciting field.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">One of the key features of the Company’s technology stack is the patented epitope-steering AI-engine. This advanced technology allows the Company to target specific regions of proteins with precision enabling the creation of antibodies highly specific to therapeutically relevant regions within large target proteins, potentially improving their efficacy and safety profile.  Another integral part of the Company’s technology stack is the machine learning (“ML”) based antibody-optimizing StableHu™ technology. When integrated with the Company's mammalian display technology, StableHu has demonstrated its ability to expedite the Lead Optimization process. This integration not only potentially reduces downstream risks but also streamlines the overall development process, making it faster, more efficient, and cost-effective. As a result, optimization can be achieved in less than four weeks.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company also developed the EngageTx™ platform, which provides an optimized next-generation CD3 T-cell engager antibody panel. This panel is characterized by a wide spectrum of potencies, Non-Human Primate (“NHP”) cross-reactivity, enhanced humanness of the antibodies, and a maintained tumor cell killing capacity, all while reducing cytokine release. These attributes are meticulously designed to fine-tune the efficacy, safety, and tolerability of the Company’s antibody products. By incorporating EngageTx into the Company’s own development initiatives, the Company’s internal pre-clinical pipeline reaps the benefits of the same cutting-edge technology extended to its potential partners. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company recently announced the expansion of its AI-powered technology stack with the launch of ShieldTx™, a patent-pending antibody masking technology designed to enable specific, highly targeted antibody delivery to diseased tissue without harming healthy tissue. By adding ShieldTx to the Company’s technology stack, iBio uniquely integrates antibody engineering and masking in one accelerated process to potentially overcome the challenges of complex targets, safety, and developability in next-generation antibody discovery and development.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;">iBio’s scientific team, composed of experienced AI/ML scientists and biopharmaceutical scientists, located side-by-side in its San Diego laboratory, possess the skills and capabilities to rapidly advance antibodies in-house from concept to in vivo proof-of-concept (“POC’). This multidisciplinary expertise allows the Company to quickly translate scientific discoveries into potential therapeutic applications.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;margin:0pt 0pt 12pt 0pt;"><b style="font-weight:bold;">Artificial Intelligence in Antibody Discovery and Development</b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The potential of AI in antibody discovery is immense and is being increasingly recognized in the biopharmaceutical industry. The mAbs market has seen impressive growth in recent years, with mAbs increasingly the top-selling drugs in the United States. This success has driven the industry to seek innovative methods for refining and improving their antibody pipelines. AI and deep learning, which have already revolutionized small molecule drug design, are now making significant strides in the development and optimization of antibodies. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company is leveraging its AI-powered technology stack to enhance the success rate of identifying antibodies for challenging target proteins, expedite the process of antibody optimization, improve developability, and engineer finely calibrated bi-specifics. By continually refining the Company’s AI algorithms, incorporating new data sources, and developing robust experimental validation processes, iBio is paving the way for groundbreaking advancements in antibody design and drug discovery.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;margin:0pt 0pt 12pt 0pt;"><b style="font-weight:bold;">Strategy</b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company is a pioneering biotechnology company at the intersection of AI and biologics, committed to reshaping the landscape of discovery. The Company’s core mission is to harness the potential of AI and machine learning to unveil elusive biologics that stand out and have evaded other scientists. Through the Company’s innovative platform, it champions a culture of innovation by identifying novel targets, forging strategic collaborations to enhance efficiency, diversify pipelines, with the goal of accelerating preclinical processes.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">Additionally, the Company’s groundbreaking EngageTx™ technology enables the Company to target bi-specific molecules. With the ability to navigate sequence diversity and promote Human-Cyno cross reactivity while mitigating cytokine release, the Company’s goal is to enhance agility and bolster preclinical safety assessments.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company’s strategic approach to fulfilling its mission is outlined as follows:</p><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:12pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;">Elevate Epitope Discovery:</b><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;"> The Company believes it leads the field with its patented AI-engine uncovering "hard to develop" molecules. The Company’s unparalleled epitope engine stands out by allowing the ability to target select regions of a protein, potentially removing the lengthy trial and error out of mAb discovery.  This capability is expected to improve probability of success while at the same time, reduces costs commonly caused by having an iterative process. The Company’s epitope engine is engineered to match its target, refined for stability and optimized for water solubility, allowing the Company to identify new drug candidates that have failed or have been abandoned due to their complexity. </span></td></tr></table><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:12pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;">Capital Efficient Business Approach:</b><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;"> The Company’s strategic business approach is structured around the following pillars of value creation:</span></td></tr></table><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:12pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:54pt;"></td><td style="font-family:'Courier New';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">o</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;">Strategic Partnerships</b><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;">: The Company is leveraging its platform and pipeline by forming strategic partnerships. The Company’s aim is to become the preferred partner for major pharmaceutical and biotechnology companies seeking rapid and cost-effective integration of complex molecules into their portfolios, de-risking their early-stage pre-clinical work. Additionally, a rich array of fast follower molecules within the Company’s pre-clinical pipeline holds the potential to drive substantial partnerships, opening doors to innovative projects. By tapping into the Company’s platform, infrastructure, and expertise, partners have the potential to streamline timelines, reduce costs tied to biologic drug discovery applications and cell line process development, and expedite preclinical programs with efficiency.</span></td></tr></table><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:12pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:54pt;"></td><td style="font-family:'Courier New';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">o</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;">Tech Licensing in Diverse Therapeutic Areas:</b><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;"> In pursuit of adding value, the Company is exploring partnerships in diverse therapeutic domains such as CNS or vaccines. The Company’s intention is to license the AI tech stack, extending its benefits to the Company’s partners and amplifying its biological impact and insights. </span><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;"> </span><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;">This strategic approach enables the Company to capitalize on the value of its meticulously curated data while empowering collaborations and innovations, while at the same time allowing the Company to focus on both the platform and its core therapeutic area, oncology.</span></td></tr></table><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:54pt;"></td><td style="font-family:'Courier New';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">o</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;">Developing and Advancing the Company’s In-house Programs Cost Effectively</b><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;">: Clinical advancement is crucial for drug discovery. The Company is actively looking for opportunities to progress its internal pre-clinical programs, with a focal point on oncology, steadily reinforcing its pre-clinical pipeline.</span><span style="color:#374151;font-family:'Segoe UI';font-size:10pt;font-style:normal;font-weight:normal;background:#f7f7f8;">  </span></td></tr></table><div style="margin-top:12pt;"></div><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;">Unwavering Investment in Advancing the Platform:</b><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;"> The Company maintains an unwavering commitment to invest in its platform, continually unlocking the potential of biology through AI and machine learning </span><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;">–</span><span style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:normal;"> the pinnacle of being on the forefront of machine learning advancing algorithms and models in order to improve its predictive power and reduce the time it takes to find a viable molecule.</span></td></tr></table><div style="margin-top:12pt;"></div><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">In essence, the Company is sculpting a future where cutting-edge AI-driven biotechnology propels the discovery of intricate biologics, fostering partnerships, accelerating innovation, and propelling the advancement of science.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><b style="font-weight:bold;">AI Drug Discovery Platform</b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;"><b style="font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">Overview</b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company’s platform comprises five key components, each playing a crucial role in the discovery and optimization of precision antibodies.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">The first layer, epitope engineering, leverages the patented AI-engine to target specific regions of proteins, allowing the Company to engineer antibodies with high specificity and efficacy. The second layer involves the proprietary antibody library, which is built on clinically validated frameworks and offers a rich diversity of human antibodies. The third layer of the technology stack is the antibody optimizing StableHu AI technology, coupled with mammalian display technology. Next, the Company uses its EngageTx T-cell engager platform to create bispecific antibodies. Finally, antibodies are transformed into conditionally activated antibodies by ShieldTx, the Company’s antibody masking technology.  Each layer of the tech stack is designed to work synergistically, enabling the Company to rapidly advance antibodies from concept to in vivo proof-of-concept (POC).</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><img alt="Graphic" src="ibio-20231231x10q001.jpg" style="display:inline-block;height:206.15pt;width:540pt;"/></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">AI Epitope Steering Technology</b></td></tr></table><div style="margin-top:12pt;"></div><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 36pt;">The Company’s epitope steering technology is designed to address these issues by guiding antibodies exclusively against the desired regions of the target protein. By focusing on these specific regions, the Company can overcome the limitations of traditional methods and significantly improve the efficiency and effectiveness of its antibody discovery process.  The Company’s AI engine creates engineered epitopes, which are small embodiments of epitopes on the target protein. The engine is trained to match the epitope structure as closely as possible and refine the designs for greater stability and water solubility, which are critically important factors. The optimized engineered epitope is then used to identify antibodies from naïve or immunized libraries.</p><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">Naïve Human Antibody Library</b></td></tr></table><div style="margin-top:12pt;"></div><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 36pt;">The fully human antibody library is built upon clinically validated, entirely human antibody frameworks. By leveraging public databases, the Company has extracted a diverse array of Complementarity-Determining Region (“CDR”) sequences. Subsequently, it has meticulously eliminated a range of sequence liabilities. Such careful curation process could potentially significantly reduce the development risk for antibodies identified from the Company’s library.</p><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">StableHu</b><sup style="font-family:'Times New Roman','Times','serif';font-size:7.5pt;font-style:normal;font-weight:bold;line-height:100%;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;top:0pt;vertical-align:top;">TM</sup><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;"> AI Antibody-Optimizing Technology</b></td></tr></table><div style="margin-top:12pt;"></div><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 36pt;">The Company’s proprietary StableHu technology is instrumental in the optimization process. StableHu is an AI-powered tool designed to predict a library of antibodies with fully human CDR variants based on an input antibody. This input can range from an early, unoptimized molecule to an approved drug. The model has been trained utilizing a set of over 1 billion human antibodies, progressively masking known amino acids within CDRs until the algorithm could predict the correct human sequence.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 36pt;">While phage display libraries are often used in antibody optimization due to their vast diversity, they can increase developability risks such as low expression, instability, or aggregation of antibodies. Mammalian display libraries, on the other hand, offer significantly improved developability but reduced diversity due to the smaller library size they can handle. StableHu overcomes this limitation by utilizing a machine learning algorithm generating focused library diversity within the capacity of mammalian display.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 36pt;">Mammalian display is a technology that presents antibodies on the surface of mammalian cells, allowing for the direct screening and selection of antibodies in a mammalian cell environment. This approach is advantageous as antibodies that express well on the mammalian cells used in the display are more likely to express well in the production cell line. Moreover, single-cell sorting of antibody-displaying cells allows rapid selection of desired antibodies based on multiple dimensions, such as potency, selectivity, and cross-species selectivity.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 36pt;">When paired with mammalian display technology, StableHu enables antibody optimization with fewer iterative optimization steps, lower immunogenicity risk, and improved developability.</p><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">EngageTx CD3-Based T-Cell Engager Panel</b></td></tr></table><div style="margin-top:12pt;"></div><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 36pt;">The Company has used antibodies from an epitope steering campaign as well as a first-generation T-cell engager as input and utilized its StableHu technology to identify a next-generation CD3 antibody panel. The sequence diversity generated by StableHu led to an antibody panel with a wide range of potencies, which allows the Company to pair the panel with a wide variety of tumor-targeting antibodies.  Importantly, the Company was able to retain T-cell activation and tumor cell killing capacity with significantly reduced cytokine release. This reduction is believed to lower the risk of cytokine release syndrome. Additionally, the increased humanness of the predicted antibodies, thanks to the Company’s StableHu technology, has the ability to reduce the risk of immunogenicity.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:12pt 0pt 10pt 36pt;">Furthermore, the Company’s StableHu technology enabled it to engineer NHP cross-reactivity into EngageTx. This allows for advanced safety assessment in NHP ahead of clinical trials, providing another layer of safety assurance.</p><table style="border-collapse:collapse;font-family:'Times New Roman','Times','serif';font-size:10pt;margin-bottom:0pt;margin-top:0pt;table-layout:fixed;text-align:justify;width:100%;border:0pt;"><tr><td style="width:18pt;"></td><td style="font-family:'Times New Roman','Times','serif';font-size:10pt;vertical-align:text-top;white-space:nowrap;width:18pt;padding:0pt;">●</td><td style="padding:0pt;"><b style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:normal;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">ShieldTx</b></td></tr></table><div style="margin-top:10pt;"></div><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:12pt 0pt 10pt 36pt;">The Company has enhanced its proprietary technology with the introduction of ShieldTx, a patent-pending innovative antibody masking technique. ShieldTx leverages the Company's engineered epitope technology, which is utilized not only for the identification of antibodies against complex drug targets but also for concealing the antibodies' active sites. A significant hurdle in therapeutic antibody development is the expression of drug target on both healthy and diseased tissues, leading to adverse effects on non-targeted tissues. ShieldTx is designed to address this challenge by rendering antibodies inactive until they reach a specific environment unique to diseased tissues. Upon contact with this environment, the masking element is detached, activating the antibody. In the tumor microenvironment this is achieved by a highly expressed matrix metalloproteinase. This strategy aims to minimize or eliminate unintended effects on healthy tissues, thereby improving the safety profile and reducing the immunogenicity risks associated with bispecific antibodies. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;margin:0pt 0pt 12pt 0pt;"><b style="font-weight:bold;">Modalities</b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 12pt 0pt;">Epitope steering, a technology the Company is pioneering, has the potential to positively impact various areas of medicine. In the field of immuno-oncology, it can be used to develop antibodies targeting specific cancer antigens, potentially enhancing the efficacy of treatments like checkpoint inhibitors and CAR-T therapies.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;">The technology also holds promise in the realm of systemic secreted and cell-surface therapeutics. Epitope steering can be applied to the development of antibodies, circulating immune modulation factors, secreted enzymes, and transmembrane proteins. This could be particularly beneficial in treating diseases such as heart failure, infectious diseases, and rare genetic conditions.  In the context of localized regenerative therapeutics, epitope steering could potentially be used to develop treatments that target specific damaged or diseased tissues. This approach could be particularly beneficial in the treatment of cardiovascular diseases.  Intratumoral immuno-oncology is another area where epitope steering could make a significant impact. It could potentially be used to develop treatments that alter the tumor microenvironment to favor an immune response against tumors, potentially enhancing the efficacy of treatments that use immune-stimulatory proteins.  The potential of epitope steering extends to cancer vaccine development as well. The ability to target specific epitopes could be beneficial in the development of vaccines, particularly those that aim to increase the number and antitumor activity of a patient's T cells.  Finally, epitope steering could be used to develop treatments for a wide range of diseases, including those in the immune-oncology space, immunology, pain, and potentially in vaccine development. This is particularly relevant for complex and hard-to-drug protein structures.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><b style="font-weight:bold;">Partnerships</b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">As noted above, one of the three pillars of value creation that structures the Company’s strategic business approach are strategic partnerships.  At the center of such pillar is the Company’s AI Discovery Platform.  In June 2023, the Company entered into a research collaboration with the National Institute of Allergy and Infectious Diseases (“NIAID”), a component of the National Institutes of Health (“NIH”), to investigate the potential of the Company’s patented AI-driven epitope steering platform for the development of a vaccine for Lassa fever, a sometimes fatal viral disease endemic to parts of West Africa.  During the first quarter FY 2024, the Company entered into a collaboration with a partner to license the use of the Company’s AI Discovery Platform to assist such partner with two targets of interest.  During the second quarter FY 2024, the Company entered into a collaboration with a large pharmaceutical company to assist </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;">such partner by using the Company’s patented AI-driven epitope steering platform to assist with one "hard to develop" molecule.  The Company continues to seek out opportunities for future collaborations using the Company’s AI Discovery Platform.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><b style="font-weight:bold;">Pipeline </b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;">The Company is currently in the process of building and advancing its pipeline. The focus of the Company’s pipeline is primarily on immuno-oncology, with one program also dedicated to the immunology space. By leveraging its technology stack, the pipeline is geared towards hard-to-drug targets and molecules offering differentiation. To mitigate target risk and capitalize on the learnings of competitors, the Company’s programs are primarily adopting a fast follower strategy. This approach allows the Company to focus on targets that have to some extent been validated and learn from the advancements of those ahead in the field.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;margin:0pt;"><img alt="Graphic" src="ibio-20231231x10q002.jpg" style="display:inline-block;height:261.95pt;left:0%;padding-bottom:0.55pt;position:relative;top:0pt;width:540pt;"/></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><span style="font-weight:bold;margin-bottom:12pt;visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><b style="font-weight:bold;">Therapeutics </b></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;margin:0pt 0pt 10pt 0pt;"><span style="font-style:italic;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">Immuno-Oncology</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;padding-bottom:10pt;margin:0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">IBIO-101</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;">In August 2021, the Company signed a worldwide exclusive licensing agreement with RubrYc to develop and commercialize RTX-003 (now referred to as IBIO-101), an anti-CD25 mAb. In September 2022, the Company acquired exclusive ownership rights to IBIO-101.  IBIO-101 is a second-generation anti-CD25 mAb that has demonstrated in preclinical models of disease the ability to bind and deplete immunosuppressive regulatory T (“Treg”) cells to inhibit the growth of solid tumors. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt 0pt 0pt 72pt;"><span style="margin-left:0pt;visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;">Targeting depletion of Treg cells to control tumors emerged as an area of interest in oncology over the past several years. Since Treg cells express interleukin-2 Rα (“IL-2Rα” or “CD25”), it was envisioned mAbs could be developed that bind CD25 and thereby trigger depletion by Natural Killer cells, resulting in stimulation of anti-tumor immunity.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt 0pt 0pt 72pt;"><span style="margin-left:0pt;visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">Unfortunately, while first-generation mAbs successfully bound CD25<sup style="font-size:7.5pt;line-height:100%;top:0pt;vertical-align:top;">+</sup> cells, they also interfered with interleukin-2 [“IL-2”] signaling to T effector (“Teff”) cells to activate their cancer cell killing effects. The result was a failure of first-gen anti-CD25 mAbs as cancer immunotherapies, since their favorable anti-Treg effects were negated by their unfavorable impact on Teff cells.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">In a humanized mouse disease model, IBIO-101, when used as a monotherapy, effectively demonstrated its mechanism of action by significantly enhancing the Treg/Teff ratio, resulting in the suppression of tumor growth. When paired with an anti-PD-1 checkpoint inhibitor in the same model, the combined treatment of IBIO-101 and anti-PD-1 exhibited superior tumor inhibition compared to either anti-PD-1 or IBIO-101 used independently.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">The Company continues to advance its IL-2 sparing anti-CD25 antibody, IBIO-101, and intend moving the program from IND-enabling stage to an IND filing during the calendar year 2025, subject to funding availability. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;margin:0pt 0pt 10pt 0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">TROP-2 x CD3 Bispecific</span> </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;">The Company has identified highly potent, fully human TROP-2 (Trophoblast Cell Surface Antigen 2) monoclonal antibodies, which have been formatted into bispecific TROP-2 x CD3 molecules using its T-cell engager antibody panel, EngageTx. TROP-2 is highly expressed in multiple solid tumors, including breast, lung, colorectal, and pancreatic cancers and is closely linked to metastasis and tumor growth. TROP-2 antibody drug conjugates have been developed to deliver toxic payloads to these cancer cells but could risk harming healthy cells and cause adverse effects. The Company’s bispecific approach has the potential to increase the therapeutic window, while promoting a robust and long-lasting anti-tumor response. Combining the bispecific TROP-2 approach with immunotherapies like checkpoint inhibitors can potentially lead to improved clinical outcomes.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;">Using EngageTx, the Company’s lead TROP-2 x CD3 bispecific antibody was engineered to potently kill tumor cells while limiting the release of cytokines, like Interferon Gamma (“IFNg’), Interleukin 2 (IL-2) and Tumor Necrosis Factor Alpha (“TNFa”), all of which have the potential to cause cytokine release syndrome. When compared to a bispecific molecule engineered with the Company’s TROP-2 binding arm and a first generation CD3 engager, SP34, its lead TROP-2 x CD3 bispecific antibody showed a markedly reduced cytokine release profile, potentially indicating a decreased risk for cytokine release syndrome. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;">When tested in a humanized mouse model of squamous cell carcinoma, the Company’s lead TROP-2 x CD3 bi-specific antibody demonstrated a significant 36 percent reduction in tumor size within just 14 days after tumor implantation, and after only a single dose.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;padding-bottom:10pt;text-align:justify;margin:0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">MUC16</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;">MUC16 is a well-known cancer target often overexpressed in several types of solid tumors, including ovarian, lung, and pancreatic cancers. Specifically, MUC16 is a large extracellular protein expressed on more than 80% of ovarian tumors. Tumor cells can evade immune attack by shedding or glycosylating MUC16, making it difficult for traditional antibody therapies to effectively target and destroy the cancer cells.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;">The Company’s patented epitope steering AI platform, its innovative approach to this challenge allows its new mAbs to bind to a specific region of MUC16 that is not shed or glycosylated, circumventing both tumor evasion mechanisms and potentially providing a powerful tool in the fight against cancer.  During its immunization and screening campaign, the Company identified several hits that specifically bound to the non-shed region of MUC16 while no binding to the shed fragment of MUC16 was observed.  During pre-clinical studies, the Company’s MUC16 molecule has demonstrated binding to MUC16 on OVCAR-3 ovarian cancer cells.  After engineering the leading MUC16 molecule with a fully human framework, the MUC16 molecule retained potent binding to the engineered epitope and maintained binding to human OVCAR-3 ovarian cancer cells. The Company has utilized its EngageTx platform to engineer MUC16 x CD3 bispecific antibodies and has further optimized the molecules to be double-masked on the MUC16 and the CD3 binding arms of the antibody. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 10pt 0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">EGFRvIII</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;padding-bottom:12pt;text-align:justify;margin:0pt;">EGFRvIII is a specific variant of the EGFR protein, unique to tumor cells. Unlike the more common EGFR, EGFRvIII is not found in healthy cells, making it an attractive target for therapeutic interventions. This variant is most prominently associated with glioblastoma, a type of brain cancer and head and neck cancer but can also be present in certain cases of breast, lung, and ovarian cancers, among others. In the Company’s pursuit of innovative treatments, iBio is exploring antibody therapeutics that specifically target EGFRvIII, aiming to address these cancer types without affecting healthy cells.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;">Leveraging the Company’s patented AI-enabled epitope steering engine, it has specifically directed antibodies to target a unique epitope found exclusively on EGFRvIII, and not on the wildtype receptor, EGFR. Through this precision approach, iBio has designed tumor-specific molecules aimed at selectively targeting cancer cells while preserving healthy ones, potentially offering patients a more focused and safer therapeutic solution.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;">The Company’s hit molecules have demonstrated strong binding to the tumor-specific EGFRvIII protein without targeting the wildtype EGFR.  Additionally, these molecules have effectively eliminated tumor cells, while sparing healthy ones, in in vitro cell killing tests.  The Company’s lead anti-EGFRvIII antibody was specially engineered to enhance its ability to attack cancer cells and has proven effective in a mouse model for head and neck cancer. In preclinical studies, its anti-EGFRvIII antibody demonstrated a 43 percent reduction in tumor growth compared to untreated animals. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;background:#ffffff;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 10pt 0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">CCR8</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;">GPCRs are one of the most successful therapeutic target classes, with approximately one-third of all approved drugs targeting these proteins. Compared to small molecule-based GPCR drugs, antibody-based GPCR therapeutics potentially offer several potential advantages, including superior selectivity, extended mechanisms of action, and longer half-life. However, GPCRs are intricate, multi-membrane spanning receptors, making clinically relevant regions difficult to identify and target.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 10pt 0pt;">The chemokine receptor CCR8 is a GPCR which is predominantly expressed on Tregs, which play a role in suppressing immune responses. In the context of cancer, Tregs can inhibit the body's natural immune response against tumor cells, promoting cancer progression. Anti-CCR8 antibodies are being explored as a therapeutic strategy to deplete these Tregs in the tumor environment. By targeting and reducing Tregs using anti-CCR8 antibodies, the hope is to enhance the body's immune response against cancer cells, offering a promising avenue for cancer treatment.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;">Aiming directly at CCR8 is believed to be a safer approach because it focuses on specific suppressive Treg cells in the tumor environment without affecting other immune cells and functions. It is important to make sure antibodies are fine-tuned to CCR8 and don't mistakenly target a similar receptor, CCR4. This is because CCR4 is found in many immune cells, and accidentally targeting it could potentially lead to unwanted side effects.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;text-align:justify;margin:0pt 0pt 12pt 0pt;">Using the Company’s unique AI-driven technology, it has successfully identified molecules targeting CCR8, addressing some of the hurdles often faced when creating therapies that target GPCR with antibodies. The Company’s specialized anti-CCR8 antibody has shown strong attachment to cells expressing CCR8 and effectively disrupted the CCR8 signaling process, resulting in the efficient elimination of Tregs derived from primary human immune cells. Notably, the Company’s CCR8-focused molecule did not attach to cells overproducing CCR4, highlighting its precision in targeting only CCR8.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 10pt 0pt;">The Company’s CCR8 antibody has proven effective in a mouse model for colon cancer. Preclinical studies show its anti-CCR8 molecule inhibited tumor growth and achieved a 22 percent reduction in tumor size compared to its pre-treatment dimensions.  The Company has specifically engineered the anti-CCR8 molecule as a high Antibody-Dependent Cellular Cytotoxicity (ADCC) antibody to enhance its ability to attack cancer cells. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;margin:0pt 0pt 12pt 0pt;"><span style="font-style:italic;font-weight:bold;text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">Autoimmune</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.25;margin:0pt 0pt 10pt 0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">PD-1 Agonist</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 12pt 0pt;">Programmed cell death protein 1 (“PD-1”) is a pivotal player in the immune system, acting as a type of "off switch" that helps keep the cells from attacking other cells in the body. By agonizing or enhancing the signaling of PD-1, it is possible to temper the immune response, making it particularly valuable in the treatment of autoimmune diseases. In conditions where the immune system mistakenly wages war on the body's own cells, such as in autoimmune diabetes or lupus, therapies that target PD-1 can potentially reduce the severity of these autoimmune reactions. This approach offers a promising avenue for providing relief to patients suffering from these debilitating conditions. The figures below depict the mechanism of action of antagonistic and agonistic PD-1 antibodies.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 12pt 0pt;">iBio purchased the global rights to a partnership-ready PD-1 agonistic mAb intended to treat serious autoimmune disorders. While the goal in immuno-oncology is to remove immune tolerance towards cancer cells, in autoimmune diseases the opposite is the case, because autoimmune diseases can result from deficits in peripheral and/or central tolerance mechanisms which presents an opportunity for therapeutic intervention. Specifically, agonism or stimulation of inhibitory receptors like PD-1 or CTLA4, which mediate peripheral tolerance is a promising approach to treat autoimmune diseases. Unlike PD-1 antagonists used in immuno-oncology, PD-1 agonists are difficult to find. RubrYc used its AI Discovery Platform to discover PD-1. PD-1 is currently in the late-discovery stage, having undergone extensive screening and <i style="font-style:italic;">in vitro</i> characterization, and the Company anticipates it will be advanced into <i style="font-style:italic;">in vivo</i> models as IBIO-102, in the near future.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 12pt 0pt;">In preclinical studies, the Company’s PD-1 agonists have been evaluated using a primary T-cell assay. Its top-performing molecules showed a significant decrease in the proinflammatory cytokine IL-2 and reduced expression of the T-cell activation marker CD96. Both of these outcomes are indicative of the desired dampening of T-cell activation. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;line-height:1.26;text-align:justify;margin:0pt 0pt 12pt 0pt;"><span style="font-size:1pt;visibility:hidden;">​</span></p>
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CY2022Q4 ibio Tangible Asset Impairment Charges Discontinued Operations
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CY2022Q4 us-gaap Disposal Group Including Discontinued Operation Operating Expense
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us-gaap Disposal Group Including Discontinued Operation General And Administrative Expense
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ibio Tangible Asset Impairment Charges Discontinued Operations
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ibio Tangible Asset Impairment Charges Discontinued Operations
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ibio Gain On Sale Of Fixed Assets
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us-gaap Disposal Group Including Discontinued Operation Operating Expense
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us-gaap Disposal Group Including Discontinued Operation Other Expense
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CY2023Q2 ibio Disposal Group Current Liabilities Operating Lease Obligations
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CY2023Q4 us-gaap Liabilities Of Disposal Group Including Discontinued Operation Current
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ibio Disposal Group Amortization Of Finance Lease Right Of Use Assets
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ibio Disposal Group Amortization Of Finance Lease Right Of Use Assets
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ibio Tangible Asset Impairment Charges Discontinued Operations
TangibleAssetImpairmentChargesDiscontinuedOperations
17600000
ibio Disposal Group Including Discontinued Operation Inventory Write Down
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4933000
ibio Disposal Group Fixed Assets Incurred But Not Yet Paid In Current Period
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us-gaap Interest Paid Discontinued Operations
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<p style="font-family:'Times New Roman','Times','serif';font-size:10pt;font-style:italic;margin:0pt 0pt 10pt 0pt;">Use of Estimates</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;">The preparation of the consolidated financial statements in conformity with U.S. GAAP requires management to make estimates and assumptions that affect reported amounts of assets and liabilities, disclosures of contingent assets and liabilities at the date of the consolidated financial statements, and the reported amounts of revenues and expenses during the reporting period. These estimates include liquidity assertions, the valuation of intellectual property and fixed assets held for sale, the incremental borrowing rate utilized in the finance and operating lease calculations, legal and contractual contingencies and share-based compensation. Although management bases its estimates on historical experience and various other assumptions that are believed to be reasonable under the circumstances, actual results could differ from these estimates.</p>
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CY2023 us-gaap Revenue From Contract With Customer Excluding Assessed Tax
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CY2022Q2 us-gaap Deferred Revenue Current
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CY2023Q4 us-gaap Inventory Net
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CY2023Q2 us-gaap Inventory Net
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ibio Discontinued Operations Research And Development Expenses
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<p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><i style="font-style:italic;">Concentrations of Credit Risk</i></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">Cash</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;">The Company maintains principally all cash balances in two financial institutions which, at times, may exceed the insured amounts. The exposure to the Company is solely dependent upon daily balances and the strength of the financial institutions. The Company has not incurred any losses on these accounts. At December 31, 2023 and June 30, 2023, amounts in excess of insured limits were approximately $3.2 million and $6.9 million, respectively. </p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt 0pt 10pt 0pt;"><span style="text-decoration-color:#000000;text-decoration-line:underline;text-decoration-style:solid;">Revenue</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">During the three months ended December 31, 2023, the Company reported no revenue from continuing operations and discontinued operations. During the three months ended December 31, 2022, the Company reported no revenue from continuing operations and generated 100% of its revenue reported in discontinued operations from two customers.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;">During the six months ended December 31, 2023, the Company reported license revenue from one research collaborator in continuing operations and no revenue in discontinued operations. During the six months ended December 31, 2022, the Company reported no revenue from continuing operations and generated 100% of its revenue reported in discontinued operations from three customers.</p><p style="font-family:'Times New Roman','Times','serif';font-size:10pt;text-align:justify;margin:0pt;"><span style="visibility:hidden;">​</span></p>
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us-gaap Debt Securities Available For Sale Realized Gain Loss
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4619000
CY2023Q4 us-gaap Accumulated Depreciation Depletion And Amortization Property Plant And Equipment
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729000
CY2023Q2 us-gaap Accumulated Depreciation Depletion And Amortization Property Plant And Equipment
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400000
CY2023Q4 us-gaap Property Plant And Equipment Net
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CY2023Q2 us-gaap Property Plant And Equipment Net
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4219000
CY2023Q4 ibio Fixed Assets Held For Sale
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CY2023Q2 ibio Fixed Assets Held For Sale
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us-gaap Share Based Compensation Arrangement By Share Based Payment Award Fair Value Assumptions Risk Free Interest Rate
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