Quarterly Report for Quarter Ending September 30, 2025 (Form 10-Q)

Management's Discussion and Analysis of Financial Condition and Results of Operations.

The following information should be read together with the consolidated financial statements and the notes thereto and other information included elsewhere in this Quarterly Report on Form 10-Q for the quarterly period ended September 30, 2025 (this "Quarterly Report") and in our Annual Report on Form 10-K for the year ended June 30, 2025, as filed with the Securities and Exchange Commission (the "SEC") on September 5, 2025. Unless the context requires otherwise, references in this Quarterly Report to "iBio," the "Company," "we," "us," or "our" and similar terms mean iBio, Inc.

Forward-Looking Statements

This Quarterly Report contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended (the "Securities Act"), and Section 21E of the Securities Exchange Act of 1934, as amended (the "Exchange Act"). For this purpose, any statements contained herein regarding our strategy, future operations, financial position, future revenues, projected costs and expenses, prospects, plans and objectives of management, other than statements of historical facts, are forward-looking statements. The words "anticipate," "believe," "estimate," "may," "plan," "will," "would" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Such statements reflect our current views with respect to future events. Because these forward-looking statements involve known and unknown risks and uncertainties, actual results, performance or achievements could differ materially from those expressed or implied by these forward-looking statements for a number of important reasons, including those discussed in this "Management's Discussion and Analysis of Financial Condition and Results of Operations" and elsewhere in this Quarterly Report, as well as in the section titled "Risk Factors" in our Annual Report. We cannot guarantee any future results, levels of activity, performance or achievements. Should one or more of these risks or uncertainties materialize, or should underlying assumptions prove incorrect, actual results may vary materially from those described in this Quarterly Report as anticipated, believed, estimated or expected. The forward-looking statements contained in this Quarterly Report represent our estimates as of the date of this Quarterly Report (unless another date is indicated) and should not be relied upon as representing our expectations as of any other date. While we may elect to update these forward-looking statements, we specifically disclaim any obligation to do so unless otherwise required by securities laws.

Overview

iBio, Inc. (the "Company" or "iBio") is a preclinical stage biotechnology company leveraging the power of Artificial Intelligence ("AI") for the development of hard-to-drug precision antibodies in the cardiometabolic and obesity space. Our core mission is to harness the potential of AI and machine learning ("ML") to unveil novel biologics which other scientists have been unable to develop. Through our innovative AI Drug Discovery Platform, it has been able to identify differentiated molecules aimed to address unmet needs by current approved interverional therapies.

We believe the future treatment for obesity lies not just in overall weight loss-but in targeted weight loss. Current interventional therapies, such as glucagon-like peptide-1 ("GLP-1") receptor agonists have ushered in a breakthrough era, yet challenges remain: muscle loss, fat regain after treatment cessation, and long-term tolerability. We are developing second-generation therapies to meet these unmet needs, using the power of AI-guided antibody design and advanced screening technologies.

Our obesity strategy is built on three key principles. First, we aim to develop next-generation antibody therapeutics addressing limitations of currently approved treatments, offering options with a goal to preserve muscle mass, target fat selectively, and provide durable weight loss with improved tolerability. Second, we are focusing on targets with strong human validation, which we believe both helps reduce development risk and increase the likelihood of clinical success. Lastly, we are applying our integrated AI Drug Discovery Platform and deep scientific expertise to rapidly generate development-ready biologics, enabling it to move with speed and precision in a competitive and fast-evolving field. Our current therapeutics are all in preclinical development and we have not completed any clinical trials in humans for any therapeutic protein product candidate produced using our technology and there is a risk we will be unsuccessful in developing or commercializing any product candidates. With shifting our focus to IBIO-610, potentially the first antibody inhibiting Activin E, we anticipate the commencement of our first human clinical trials in early 2027.

Our discovery and development work is conducted at our San Diego research and development ("R&D") laboratory space, where our AI and ML scientists and biopharma researchers operate side by side. This close integration of disciplines enables rapid iteration between in silico design and wet-lab validation, compressing the timeline from hypothesis to lead selection. With our robust platform, focused pre-clinical pipeline, and growing scientific and leadership team, we are building a durable and differentiated position in obesity therapeutics-one designed to outlast the first wave and define what comes next.

Our approach to the evolving needs in obesity treatment is facilitiated on a fully integrated antibody discovery platform, designed from the ground up for precision, speed and developability. At the core of our AI Drug Discovery Platform is an AI-enabled epitope steering engine enabling us to precisely direct antibodies to functional hotspots on even the most challenging targets-often considered "undruggable." When combined with our antibody optimization platform, which deeply integrates generative AI tools with mammalian display technology, we can progress from concept to development-ready antibody in as little as seven months.

Our strategic approach to fulfilling our mission is outlined as follows:

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In essence, we believe we are 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.

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The Company's current pre-clinical product candidate pipeline is set forth below.

IBIO-610

By leveraging our AI Drug Discovery Platform, we believe we have successfully identified the first long-acting antibody inhibiting Activin E. Preclinical data from multiple in vitro cell-based assays, including one on a human adipocyte cell line, demonstrated robust blockade of Activin E-mediated signaling. The antibody has been evaluated in multiple pre-clinical studies in a model of diet-induced obesity (DIO) in mice, both alone with biweekly dosing and in combination with semaglutide dosed daily. These results suggest IBIO-610 may induce fat-selective weight loss.

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In a DIO mouse model, IBIO-610 was administered biweekly at 10 mg/kg for four weeks to evaluate its effects as a monotherapy. Treated mice were observed to have a 8.9% reduction in body weight compared to baseline and placebo, with body composition analysis revealing a 26% reduction in fat mass and no measurable loss of lean mass. Outlier non-responder mice were excluded.

To test potential combination therapy with incretin treatments, IBIO-610 was dosed biweekly alongside daily semaglutide. While semaglutide alone produced a 27.8% reduction in body weight (baseline and placebo adjusted), the combination resulted in a more pronounced 35.3% weight loss, without any additive effect on food intake. The combination also led to a greater reduction in visceral fat compared to semaglutide alone, suggesting complementary mechanisms that enhance metabolic benefit.

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IBIO-610 was also tested as a maintenance therapy following cessation of semaglutide treatment. In this model, DIO mice were first dosed with semaglutide for two weeks, leading to approximately 18% weight loss. Upon stopping semaglutide, control mice regained 71% of the lost weight within three weeks, with fat mass levels returning to those of untreated animals. In contrast, mice receiving IBIO-610 at the time of semaglutide discontinuation regained only 28% of the lost weight and retained significantly lower fat mass at study termination, highlighting the potential of IBIO-610 to prevent rebound weight gain.

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IBIO-610 was evaluated in a pharmacokinetic ("PK") preclinical study in obese, mature non-human primates ("NHPs") to characterize systemic exposure and clearance following a single intravenous administration. Serum concentrations were measured at defined intervals post-dose to generate a time-concentration profile. PK analysis demonstrated IBIO-610 exhibited a terminal half-life of approximately 33.2 days in NHPs, consistent with expectations for a half-life extended antibody of this class. Using multiple allometric scaling approaches, the projected half-life in humans is estimated to fall within a range of 47 to 100 days, supporting the potential for infrequent, long-acting dosing in clinical settings. Following the completion of NHP PK study, we will initiate Chemistry, Manufacturing, and Controls ("CMC") and nonclinical toxicology activities to support the advancement of IBIO-610 toward clinical development.

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Myostatin x Activin A Bispecific Antibody

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We initiated a program to develop a bispecific antibody targeting both myostatin and Activin A. Leveraging our StableHu™ platform and mammalian display, this program is in late discovery, where multiple parameters, such as binding affinity, expression levels, and stability, are being optimized. Early in vitro findings in human muscle progenitor cells suggest that the bispecific candidate induces a stronger differentiation of progenitor cells into mature muscle cells compared to antibodies targeting only myostatin or Activin A alone.

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IBIO-600

In April 2024, as result of the collaboration with AstralBio, we initiated a program to discover and develop a long-acting anti-myostatin antibody. Using our StableHu platform coupled with mammalian display, we optimized hit antibodies across multiple parameters, including affinity for myostatin, binding to the FcRn receptor, expression levels in mammalian cells, and resistance to poly-reactivity and aggregation. The final candidate, IBIO-600, was also observed to have a beneficial profile between thermostability and resistance to stress conditions during initial testing.

In vitro, IBIO-600 was evaluated in human muscle progenitor cells, where it potently inhibited myostatin. This inhibition facilitated the differentiation of progenitor cells into mature human muscle cells. In interim data from a preclinical study in obese mice, we observed that IBIO-600 dose-dependently prevented lean mass loss when administered in combination with a GLP-1 receptor agonist.

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In November 2024, we initiated a study in obese and elderly NHP for IBIO-600. The primary goal of the study was to assess the PK profile of IBIO-600. The study consisted of two dose levels, a low dose of 5 mg/kg and a high dose of 50 mg/kg, with a single subcutaneous injection in each case. In addition to monitoring PK in serum, the study analyzed body composition changes over time by employing DEXA scans, measuring lean and fat mass.

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The study consisted of six NHPs, sorted randomly into the low and high dose groups. IBIO-600 promoted an increase in lean mass and a reduction in fat mass from baseline values. Standard PK calculations indicated the half-life of IBIO-600 in NHPs was approximately 40 to 52 days. By using multiple allometric scaling approaches, we estimated the half-life in humans of IBIO-600 as falling with a range of 57-147 days.

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Following the NHP pharmacokinetic study, we initiated CMC and nonclinical toxicology activities to support the advancement of IBIO-600 toward clinical development. We have now established a stable cell line, completed process and formulation development, and manufactured a Good Laboratory Practice ("GLP") toxicology batch at 200 L scale. In parallel, we launched a nonclinical toxicology program, initiating both rat and NHP dose range-finding studies, as well as rat and NHP GLP studies. All studies are progressing as planned.

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As we continue advancing IBIO-600 through IND-enabling studies, we are actively seeking a development partner to help accelerate its clinical progression in sarcopenia, muscle loss disorders, and obesity, maximizing the therapeutic and commercial potential of this unique, long-acting anti-myostatin/GDF11 antibody.

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Partnered Programs

Amylin Receptor Agonist Engineered Antibody

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In collaboration with AstralBio, we are working to develop an amylin receptor antibody, a potentially highly promising mechanism in obesity treatment. Along with AstralBio, we are discovering and optimizing both dual amylin and calcitonin receptor (DACRA)-like engineered antibodies, and selective amylin receptor agonist antibodies while avoiding engagement of the calcitonin receptor. Improved selectivity may translate into tolerability and efficacy advantages. Leveraging the AI Drug Discovery Platform, combining soluble G protein-coupled receptor ("GPCR") analogues with mammalian display, we have engineered agonists with tailored activity across specific amylin receptor subtypes, showcasing the ability to address complex membrane protein targets with precision.

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Early preclinical results to date show the promise of the approach. In a proof-of-concept study in DIO mice, an early DACRA-like agonist antibody delivered approximately a ~60% reduction in acute food intake (p<0.05), nearly matching the 67% reduction seen with a benchmark DACRA peptide. These data affirm that antibody-based approaches targeting amylin receptor are promising and can access the parts of the brain containing amylin receptor. As the third obesity program from our AstralBio partnership, this achievement marks a significant validation of our integrated AI Drug Discovery Platform and sets the stage for advancing this differentiated modality into the next stages of development.

AI Drug Discovery Platform

Overview

Our technology stack is a multi-layered, AI-powered system designed to significantly enhance the probability of success in discovering and developing antibodies against hard-to-drug, pathophysiologically relevant proteins. The platform comprises four integrated layers, each contributing a distinct capability to the discovery, engineering, and optimization of precision antibodies. By seamlessly combining advanced computational design with cutting-edge biological technologies, iBio's AI-driven discovery platform enables the rapid generation of antibody therapeutics characterized by high specificity, optimized developability, and accelerated progression from concept to clinic.

The first layer, epitope engineering, leverages the patented AI-engine to target specific regions of proteins, allowing us to engineer antibodies with high specificity and efficacy. Pursuing specific epitopes that elicit a specific biological function allows us to create antibodies with complex modes of action, like agonistic or cell activating antibodies. 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. This combination has been shown to speed up the Lead Optimization process and potentially minimizes downstream risks, with the goal of making the overall development process more efficient and cost-effective.

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Building on this foundation, the fourth layer is our EngageTx™ and ShieldTx™ technologies expanding the platform's reach into multi-specific and conditionally active antibody formats. EngageTx delivers an optimized, next-generation CD3 T-cell engager antibody panel with a wide range of potencies, NHP cross-reactivity, enhanced humanness, and strong tumor-killing activity with reduced cytokine release. In parallel, ShieldTx provides an antibody masking technology that enables the creation of conditionally activated antibodies. These conditionally activated antibodies can broaden the therapeutic window by improving efficacy and safety, enable drug

combinations that would otherwise be too toxic, and open the door to pursuing targets whose expression across multiple tissues would normally raise safety concerns.

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AI Epitope Steering Technology

Epitopes-the small regions on large target proteins-are critical to eliciting desired biological effects when targeted with antibodies. Traditional epitope-specific discovery methods often struggle with dominant-epitope antibodies that lack efficacy yet overwhelm screening, obscuring antibodies against more therapeutically valuable sites. These approaches also tend to yield few or no hits against complex, hard-to-drug epitopes due to structural challenges and the limited availability of stable scaffolds needed to maintain epitope integrity during discovery.

Our Epitope Steering technology directly addresses these limitations by guiding antibody generation toward predefined regions of a target protein. Using AI, we design engineered epitopes-precisely modeled and optimized fragments of the target-to improve structural fidelity, solubility, and stability. These engineered epitopes enable efficient antibody selection from naïve or immunized libraries, significantly increasing discovery success, especially for agonistic or functionally active antibodies.

This approach is broadly applicable across complex protein classes and holds promise in unlocking new targets in cardiometabolic disease, immuno-oncology, immunology, and pain. Moreover, it has potential applications in vaccine design, offering new opportunities for disease prevention.

Naïve Human Antibody Library

The fully human antibody library is built upon clinically validated, entirely human antibody frameworks. By leveraging public databases, we have extracted a diverse array of Complementarity-Determining Region (CDR) sequences. Subsequently, we have meticulously eliminated a range of sequence liabilities. Such careful curation process could potentially significantly reduce the development risk for antibodies identified from our library.

StableHu AI Antibody-Optimizing Technology

Antibody optimization is a pivotal step in the development of therapeutic antibodies. It refines an antibody's properties to enhance its efficacy, safety, and manufacturability. This process includes humanization, which alters non-human antibodies to mimic human antibodies, thereby reducing the risk of immune reactions when used in therapy.

Our proprietary StableHu technology is instrumental in this 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.

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.

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.

When paired with mammalian display technology, StableHu enables antibody optimization with fewer iterative optimization steps, lower immunogenicity risk, and improved developability.

EngageTx CD3-Based T-Cell Engager Panel

CD3-based T-cell engagers can drive powerful anti-tumor responses by recruiting and activating the body's own T cells. However, first-generation bispecifics have faced major challenges-namely, cytokine release syndrome, limited specificity, and poor non-human primate (NHP) cross-reactivity, which complicates safety testing.

To address these limitations, we applied StableHu technology to antibodies derived from an epitope steering campaign and a first-generation T-cell engager. This approach generated a diverse CD3 antibody panel with a wide potency range, enabling flexible pairing with various tumor-targeting antibodies. The resulting molecules retained potent tumor-killing activity while significantly reducing cytokine release, potentially lowering the risk of cytokine release syndrome.

StableHu also increased antibody humanness, reducing immunogenicity risk, and introduced NHP cross-reactivity-allowing for robust preclinical safety assessments ahead of clinical trials.

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ShieldTx Antibody Masking Technology

Many potential drug targets are expressed across both healthy and diseased tissues, making selective targeting a major safety challenge. Antibodies that kill target-expressing cells can damage healthy tissues if the target is not disease-restricted.

Antibody masking offers a solution. Masked, or conditionally activated, antibodies remain inactive in circulation through a temporary "mask" linked to the binding site. Once the antibody reaches diseased tissue, disease-specific enzymes cleave the linker, removing the mask and activating the antibody precisely where it is needed. This targeted activation broadens the therapeutic window, improves safety, and enables the pursuit of targets and drug combinations otherwise considered too toxic.

Our ShieldTx platform integrates antibody masking directly into the antibody discovery process, increasing the probability of success. Using our epitope engineering engine, we design small, accurate replicas of target epitopes to raise antibodies; these same engineered epitopes can then serve as optimized masks-making mask design an inherent part of discovery.

Through StableHu multi-dimensional optimization, we simultaneously refine the antibody, mask, and linker components-reducing development time compared to traditional sequential approaches. The result is a faster, more integrated path to conditionally active antibodies with enhanced efficacy and safety potential.

Programs Available for Partnering Outside the Cardiometabolic Area

There have been notable advances in the field of oncology in recent years, and arguably none more important than the advent of immunotherapies. We have a pipeline of pre-clinical programs with differentiated profiles and high potential impact, including IBIO-101, our second-generation anti-CD25 monoclonal antibody, a TROP-2 x CD3 bispecific antibody, an antibody that binds to a non-shed, non-glycosylated region of MUC16, an antibody that binds to an epitope on EGFRvIII without binding wildtype EGFR, and an anti-CCR8 antibody. With our therapeutic focus shifting to precision antibodies in the cardiometabolic and obesity space, we are exploring the best path forward for our immune-oncology programs, with a focus on identifying partners who bring complementary capabilities and a shared vision for patient impact.

Collaborations and Partnerships

As noted above, one of the three pillars of value creation that structures of our strategic business approach are strategic collaborations and partnerships. At the center of such pillar is our AI Drug Discovery Platform.

In March 2024, we entered into a collaboration with AstralBio to discover and develop novel antibodies for obesity and other cardiometabolic diseases. As part of the collaboration, we granted an exclusive license to AstralBio of our AI-powered technology to identify and engineer four (4) targets for the treatment of obesity and cardiometabolic diseases, of which AstralBio may continue the pre-clinical development and deploy its proven drug development expertise to advance candidates to an IND application. We have the exclusive option to license three (3) obesity and cardiometabolic targets from AstralBio and as a result, we will receive the right to develop, manufacture and commercialize those targets upon exercise. Upon mutual consent with AstralBio, we may also expand the collaboration to include additional targets in other fields.

As a result of this collaboration with AstralBio, we exercised our first option and entered into an exclusive agreement related to myostatin (the "Myostatin License Agreement") with AstralBio, pursuant to which AstralBio licensed to us, on an worldwide exclusive basis and with the right to grant sublicenses, under the AstralBio Licensed Patents (as defined in the Myostatin License Agreement) and AstralBio Licensed Know-How (as defined in the Myostatin License Agreement) to develop, manufacture and commercialize and otherwise exploit IBIO-600 for research, diagnosis, treatment, prevention, or management of any disease or medical condition. We are solely responsible for all decisions related to the launch, sales and marketing and promotion of IBIO-600 in our discretion, subject to the terms of the License Agreement, and for all costs for all activities related to the development, manufacture and commercialization of IBIO-600 worldwide. IBIO-600 was identified by AstralBio using our proprietary technology stack and was designed for subcutaneous administration with the potential for an extended half-life. In parallel, we initiated a bispecific antibody program targeting myostatin/activin A to treat obesity and cardiometabolic disorders, leveraging our proprietary technology stack as well as the technology

of IBIO-600.

In April 2025, we exercised our second option and entered into an exclusive agreement related to Activin E (the "Activin E License Agreement") with AstralBio, pursuant to which AstralBio licensed to us, on an worldwide exclusive basis and with the right to grant sublicenses, under the AstralBio Licensed Patents (as defined in the Activin E License Agreement) and AstralBio Licensed Know-How (as defined in the Activin E License Agreement) to develop, manufacture and commercialize and otherwise exploit IBIO-610 for research, diagnosis, treatment, prevention, or management of any disease or medical condition. We are solely responsible for all decisions related to the launch, sales and marketing and promotion of IBIO-610 in our discretion, subject to the terms of the Activin E License Agreement, and for all costs for all activities related to, the development, manufacture and commercialization of IBIO-610 worldwide.

We continue to seek to advance of our preclinical immune-oncology candidates with potential as standalone or combination therapies while seeking partnerships for IBIO-600 in the most competitive areas that will likely require combination therapy. Further, we continue to seek out opportunities for future collaborations using our AI Drug Discovery Platform.

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Recent Developments

Underwritten Public Offering

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On August 19, 2025, we entered into an Underwriting Agreement with Leerink, as representative of the underwriters, relating to the offering, issuance and sale of 2025 Pre-Funded Warrants to purchase an aggregate of 71,540,000 shares of Common Stock and accompanying Series G Warrants to purchase (i) an aggregate of up to 35,770,000 shares of Common Stock (or, for those investors who so choose, pre-funded warrants to purchase up to 35,770,000 shares of Common Stock in lieu thereof) and (ii) Series H Warrants to purchase an aggregate of up to 35,770,000 shares of Common Stock (or, for those investors who so choose, pre-funded warrants to purchase up to 35,770,000 shares of Common Stock in lieu thereof) (the "2025 Offering"). The combined public offering price per 2025 Pre-Funded Warrant and accompanying Series G Warrant was $0.699. The closing of the 2025 Offering took place on August 22, 2025. We received net proceeds from the 2025 Offering of approximately $46.5 million after deducting underwriting discounts and commissions and offering expenses payable by us in connection with the 2025 Offering. We may also receive up to an aggregate of $50 million of additional gross proceeds if the Series G Warrants and Series H Warrants are exercised in full for cash.

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Each 2025 Pre-Funded Warrant and the pre-funded warrants issuable upon exercise of the Series G Warrants or Series H Warrants have an exercise price per share of Common Stock equal to $0.001 and are immediately exercisable from their date of issuance for one share of Common Stock, subject to certain beneficial ownership and other limitations. The Series G Warrants and Series H Warrants will each be exercisable from their date of issuance and will have an exercise price equal to $0.70 per whole share of Common Stock (or $0.699 per pre-funded warrant) and in the case of the Series G Warrants, the accompanying Series H Warrant. The Series G Warrants will expire on the date that is the earlier of (i) 30 trading days following our public announcement of a Trial Initiation Milestone and (ii) five years from the date of issuance. In addition, to the extent the proportion of the unexercised portion of the Series G Warrant relative to the originally issued Series G Warrant is greater than the proportion of the unexercised portion of the originally issued 2025 Pre-Funded Warrant relative to the originally issued 2025 Pre-Funded Warrant, each Series G Warrant will immediately expire in proportion to the extent that the corresponding 2025 Pre-Funded Warrant held by a holder is exercised prior to the occurrence of the Trial Initiation Milestone. When issued upon exercise of the Series G Warrants, the Series H Warrants will expire on the four-year anniversary of the closing date of the 2025 Offering.

Liquidity and Capital Resources

We have incurred net losses and generated negative cash flows from operations for many years. For the three months ended September 30, 2025, we incurred a net loss of approximately $5.7 million and had negative cash flows from operations of approximately $5.7 million. Historically, our liquidity needs have been met by the sale and issuances of common shares including the issuances of common shares through the exercise of warrants. As of September 30, 2025, we had total current assets of approximately $50.8 million, of which approximately $28.1 million was cash and cash equivalents and approximately $21.5 million was investments in debt securities. For the three months ended September 30, 2025, we had an operating capital deficit of $5.7 million which compares to the $3.7 million operating capital deficit it maintained for the three months ended September 30, 2024.

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Based on the total cash and cash equivalents, and investments in debt securities of approximately $49.6 million at September 30, 2025, we believe that our current cash position is sufficient to fund our operations for at least 12 months from the date of filing this Quarterly Report.

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Despite this liquidity position, the history of significant losses, the negative cash flow from operations, and the dependence by us on our ability to obtain additional financing to fund our operations raised substantial doubt about our ability to continue as a going concern. In

August 2025, we closed on an underwritten public offering raising gross proceeds of approximately $50 million. Our ability to generate future revenue is dependent on the successful development, regulatory approval, and commercialization of our product candidates, which are subject to significant risks and uncertainties, including clinical trial outcomes, FDA review timelines, and market acceptance.

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Results of Operations - Comparison of the three months ended September 30, 2025 and 2024

Revenue

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Our ongoing business is primarily focused on i) development of our pipeline for which we do not expect revenue for many years, if at all, and ii) on advancing our AI-driven discovery platform to develop molecules against hard to drug targets. To date this platform has not generated any material revenue, though we may realize revenue from it in the future. Revenue in the amount of $0.1 million was recognized for services provided to a collaborative partner during the three months ended September 30, 2025. No revenue was recognized for the three months ended September 30, 2024.

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Research and Development Expenses ("R&D")

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R&D expenses for the three months ended September 30, 2025 and 2024 were $3.6 million and $1.3 million, respectively, an increase of approximately $2.3 million. The increase in R&D expenses is mainly due to increased spending on consultants and outside services and an increase in people costs as a result of advancing research activities to support our IBIO-600 and IBIO-610 programs and other preclinical pipeline assets.

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General and Administrative Expenses ("G&A")

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G&A expenses for the three months ended September 30, 2025 and 2024 were approximately $2.5 million and $2.8 million, respectively, a decrease of approximately $0.3 million. The decrease is primarily attributable to a reduction in accounting fees, consulting fees and IT related expenses and legal fees.

Total Operating Expenses

Total operating expenses, consisting primarily of R&D and G&A expenses, for the three months ended September 30, 2025 were approximately $6.1 million, compared to approximately $4.1 million in the same period of fiscal year 2025.

Net Loss

Our net loss for the three months ended September 30, 2025 was $5.7 million, or $0.11 per share, compared to our net loss of approximately $4.0 million, or $0.46 per share for the three months ended September 30, 2024.

Uses of Cash and Funding Requirements

Net Cash Used in Operating Activities

Net cash used in operating activities was approximately $5.7 million for the three months ended September 30, 2025, compared to net cash used in operating activities of $3.7 million for the three months ended September 30, 2024. The use of cash was primarily attributable to funding our net loss for the period.

Net Cash (Used in) Provided by Investing Activities

Net cash used in investing activities of approximately $21.5 million for the three months ended September 30, 2025 was due to the purchase of debt securities and the purchase of fixed assets. Net cash provided by investing activities was approximately $0.7 million for the three months ended September 30, 2024.

Net Cash Provided by (Used in) Financing Activities

Net cash provided by financing activities during the three months ended September 30, 2025, was approximately $46.7 million and was attributable to the net proceeds from the sale of securities partially offset by payments towards debt, including the finance lease

obligations, term promissory note and equipment financing loan. Net cash used in financing activities was approximately $0.2 million for the three months ended September 30, 2024.

Funding Requirements

We have incurred significant losses and negative cash flows from operations since our spin-off from Integrated BioPharma in August 2008. As of September 30, 2025, our accumulated deficit was approximately $337.9 million and we used approximately $5.7 million of cash for operating activities during the three months ended September 30, 2025. As of September 30, 2024, our accumulated deficit was approximately $317.8 million and we used approximately $3.7 million of cash for operating activities during the three months ended September 30, 2024. Our current cash, cash equivalents and investments in debt securities of approximately $49.6 million as of September 30, 2025, is anticipated to be sufficient to support operations into the fourth quarter of fiscal year 2027.

We plan to fund our future business operations using cash on hand, through proceeds realized in connection with the commercialization of our technologies, through potential proceeds from the sale or out-licensing of assets, collaborations, and through proceeds from the sale of additional equity or other securities. However, there can be no assurance that we will be successful in implementing these plans, many of which will take several years before we realize proceeds. We cannot be certain that such funding will be available on favorable terms or available at all. If we are unable to raise funds when required or on favorable terms, this assumption may no longer be operative, and we may have to: a) significantly delay, scale back, or discontinue the product application and/or commercialization of our proprietary technologies; b) seek collaborators for our technology and product candidates on terms that are less favorable than might otherwise be available; c) relinquish or otherwise dispose of rights to technologies, product candidates, or products that we would otherwise seek to develop or commercialize; or d) possibly cease operations.

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Off-Balance Sheet Arrangements

As part of our ongoing business, we do not participate in transactions that generate relationships with unconsolidated entities or financial partnerships, such as entities often referred to as structured finance or special purpose entities ("SPE"s), which would have been established for the purpose of facilitating off-balance sheet arrangements or other contractually limited purposes. As of September 30, 2025, we were not involved in any SPE transactions.

Critical Accounting Estimates

Our condensed consolidated financial statements are presented in accordance with U.S. GAAP, and all applicable U.S. GAAP accounting standards effective as of September 30, 2025, have been taken into consideration in preparing the condensed consolidated financial statements. The preparation of condensed consolidated financial statements requires estimates and assumptions that affect the reported amounts of assets, liabilities, revenues, expenses and related disclosures. Some of those estimates are subjective and complex, and, consequently, actual results could differ from those estimates. We base our estimates, to the extent possible, on historical experience. Historical information is modified as appropriate based on current business factors and various assumptions that we believe are necessary to form a basis for making judgments about the carrying value of assets and liabilities. We evaluate our estimates on an ongoing basis and make changes when necessary. Actual results could differ from our estimates.

Critical accounting estimates are those estimates made in accordance with U.S. GAAP that involve a significant level of estimation uncertainty and have had or are reasonably likely to have a material impact on our financial condition or results of operations. The following accounting estimate had a material impact on our results of operations for the three months ended September 30, 2025.

Impairment of Indefinite-Lived Intangible Assets

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For indefinite life intangible assets, we perform an impairment test annually and whenever events or changes in circumstances indicate the carrying value of an asset may not be recoverable.

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Evaluating impairment requires judgment, including the estimation of future cash flows, future growth rates and profitability and the expected life over which cash flows will occur. Changes in our business strategy or adverse changes in market conditions could impact impairment analyses and require the recognition of an impairment charge. Although we base our estimates on historical experience and various other assumptions that are believed to be reasonable under the circumstances, actual results could differ from these estimates.

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During the fourth quarter of the fiscal year ended June 30, 2025, we performed our annual impairment testing of the IBIO-101 therapeutic technology (or "IP"), classified as an indefinite-lived intangible asset, which had a carrying amount of $5 million on June 30, 2025. We engaged a third party to perform valuation assistance with estimating the fair value of IBIO-101 and preparing a market capitalization reconciliation. The Multi-Period Excess Earnings Method ("MPEEM") under the income approach was utilized to value the indefinite-lived asset. The MPEEM determines the value of a specified asset by calculating the present value of future earnings attributed to the

asset. Since IBIO-101 is currently in its pre-clinical development phase, a probability of success was applied to the cash flows to account for the probability of reaching each step of development. The MPEEM requires that charges for the use of other contributory assets be subtracted under the theory that the owner of the subject asset does not own the other contributory assets and would have to rent/lease them in order to earn the cash flows related to the subject asset.

The resulting probability of success adjusted "excess earnings" were discounted to the present value using a 15% discount rate, which was based on iBio's weighted average cost of capital. The sum of the discounted excess earnings and the present value of the tax benefit related to amortization of the IBIO-101 indefinite-lived intangible indicated that the fair value was $5.9 million as of the June 30, 2025 valuation date. Given that the carrying amount of the asset was $5 million on June 30, 2025, it was concluded that no impairment existed.

No triggering events were identified during the three months ended September 30, 2025. We will continue to monitor the value of the IP as part of our annual accounting policy for impairment of long-lived assets. The primary impairment indicators that may arise in the near future are (1) any sustained decline in our common stock market price and (2) FDA decisions on similar competing technologies that are applying for Phase 1 approval.

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We continue to operate in a highly competitive environment, rising interest rates (and cost of capital) and experience liquidity challenges. Accordingly, we may have to adjust our cash flow projections and valuation assumptions in the near future to account for market trends and any changes to our research and development plans. Any such future adjustments may lead to material future impairments in the IP and other related assets.

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Our remaining critical accounting estimates remain consistent with the information disclosed in the same section in our last annual report on Form 10-K for the year ended June 30, 2025.

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In addition to the aforementioned critical accounting estimates, the following accounting policies and estimates have been highlighted as significant because changes to certain judgments and assumptions inherent in these policies could affect our consolidated financial statements:

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We base our estimates, to the extent possible, on historical experience. Historical information is modified as appropriate based on current business factors and various assumptions that we believe are necessary to form a basis for making judgments about the carrying value of assets and liabilities. We evaluate our estimates on an ongoing basis and make changes when necessary. Actual results could differ from our estimates. See Note 3 - Summary of Significant Accounting Policies - for a complete discussion of our significant accounting policies and estimates.

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