UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
Washington, D.C. 20549
FORM
QUARTERLY REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 |
For the quarterly period ended
OR
TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 |
For the transition period from ___ to ___
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Securities registered pursuant to Section 12(b) of the Act:
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Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days.
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If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ◻
Indicate by check mark whether the registrant is a shell company (as defined in Rule 12b-2 of the Exchange Act).
Yes
Shares of Common Stock outstanding as of November 9, 2023:
iBio, Inc.
TABLE OF CONTENTS
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Management’s Discussion and Analysis of Financial Condition and Results of Operations | 38 | |
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PART I - FINANCIAL INFORMATION
Item 1. Consolidated Financial Statements (Unaudited).
iBio, Inc. and Subsidiaries
Condensed Consolidated Balance Sheets
(In thousands, except share and per share amounts)
September 30, | June 30, | |||||
2023 | 2023 | |||||
(Unaudited) | (See Note 2) | |||||
Assets | ||||||
Current assets: | ||||||
Cash and cash equivalents | $ | | $ | | ||
Restricted cash | | | ||||
Subscription receivable | — | | ||||
Prepaid expenses and other current assets |
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Total Current Assets |
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Restricted cash | | | ||||
Promissory note receivable and accrued interest | | | ||||
Finance lease right-of-use assets, net of accumulated amortization |
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Operating lease right-of-use asset | | | ||||
Fixed assets, net of accumulated depreciation |
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Intangible assets, net of accumulated amortization | | | ||||
Security deposits | | | ||||
Total Assets | $ | | $ | | ||
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Liabilities and Stockholders' Equity |
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Current liabilities: |
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Accounts payable | $ | | $ | | ||
Accrued expenses |
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Finance lease obligations - current portion | | | ||||
Operating lease obligation - current portion | | | ||||
Equipment financing payable - current portion | | | ||||
Term note payable - net of deferred financing costs | | | ||||
Current liabilities related to assets held for sale |
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Total Current Liabilities |
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Finance lease obligations - net of current portion | | | ||||
Operating lease obligation - net of current portion | | | ||||
Equipment financing payable - net of current portion | | | ||||
Accrued expenses - noncurrent | | | ||||
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Total Liabilities |
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Stockholders' Equity |
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Series 2022 Convertible Preferred Stock - $ |
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Common Stock - $ |
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Additional paid-in capital |
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Accumulated deficit | ( | ( | ||||
Total Stockholders’ Equity |
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Total Liabilities and Stockholders' Equity | $ | | $ | |
The accompanying notes are an integral part of these unaudited condensed consolidated financial statements.
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iBio, Inc. and Subsidiaries
Condensed Consolidated Statements of Operations and Comprehensive Loss
(Unaudited; in thousands, except per share amounts)
| Three Months Ended | |||||
| September 30, | |||||
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Revenues | $ | | $ | — | ||
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Operating expenses: |
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Research and development |
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General and administrative |
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Total operating expenses |
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Operating loss |
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Other income (expense): |
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Interest expense | ( | — | ||||
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Total other income |
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Net loss available to iBio, Inc. stockholders from continuing operations | ( | ( | ||||
Loss from discontinued operations | ( | ( | ||||
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Net loss available to iBio, Inc. stockholders | $ | ( | $ | ( | ||
Comprehensive loss: |
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Consolidated net loss | $ | ( | $ | ( | ||
Other comprehensive loss - unrealized loss on debt securities | — | ( | ||||
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Comprehensive loss | $ | ( | $ | ( | ||
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Loss per common share attributable to iBio, Inc. stockholders - basic and diluted - continuing operations | ( | ( | ||||
Loss per common share attributable to iBio, Inc. stockholders - basic and diluted - discontinued operations | ( | ( | ||||
Loss per common share attributable to iBio, Inc. stockholders - basic and diluted - total | ( | ( | ||||
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Weighted-average common shares outstanding - basic and diluted |
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The accompanying notes are an integral part of these unaudited condensed consolidated financial statements.
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iBio, Inc. and Subsidiaries
Condensed Consolidated Statements of Equity
(Unaudited; in thousands)
Three Months Ended September 30, 2023
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| Deficit |
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Balance as of July 1, 2023 | — | $ | — | | $ | | $ | | $ | ( | $ | | ||||||||
Capital raise | — | — | | | | — | | |||||||||||||
Costs to raise capital | — | — | | | ( | — | ( | |||||||||||||
Vesting of RSUs | — | — | | — | — | — | — | |||||||||||||
Share-based compensation | — | — | — | — | | — | | |||||||||||||
Net loss | — | — | — |
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Balance as of September 30, 2023 | — | $ | — | | $ | | $ | | $ | ( | $ | |
Three Months Ended September 30, 2022
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Balance as of July 1, 2022 | | $ | — | | $ | | $ | | $ | ( | $ | ( | $ | | |||||||||
Capital raises | — | — | | — | | — | — | | |||||||||||||||
Conversion of preferred stock to common stock | ( | — | — | — | — | — | — | — | |||||||||||||||
Common stock issued - RubrYc transaction | — | — | | — | | — | — | | |||||||||||||||
Vesting of RSUs | — | — | | — | — | — | — | — | |||||||||||||||
Share-based compensation |
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Unrealized gain on available-for-sale debt securities | — | — | — | — | — | ( | — | ( | |||||||||||||||
Net loss | — | — | — |
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Balance as of September 30, 2022 |
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The accompanying notes are an integral part of these unaudited condensed consolidated financial statements.
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iBio, Inc. and Subsidiaries
Condensed Consolidated Statements of Cash Flows
(Unaudited; in Thousands)
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Cash flows from operating activities: | ||||||
Consolidated net loss | $ | ( | $ | ( | ||
Adjustments to reconcile consolidated net loss to net cash used in operating activities: |
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Share-based compensation |
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Amortization of intangible assets |
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Amortization of finance lease right-of-use assets | | | ||||
Amortization of operating lease right-of-use assets | | | ||||
Depreciation of fixed assets |
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Gain on sale of fixed assets | ( | | ||||
Accrued interest receivable on promissory note receivable | ( | ( | ||||
Amortization of premiums on debt securities | — | | ||||
Amortization of deferred financing costs | | | ||||
Inventory reserve | — | | ||||
Changes in operating assets and liabilities: |
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Accounts receivable - trade |
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Inventory |
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Prepaid expenses and other current assets |
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Prepaid expenses - noncurrent | — | | ||||
Accounts payable |
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Accrued expenses |
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Accrued expenses - noncurrent | ( | | ||||
Operating lease obligations |
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Contract liabilities |
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Net cash used in operating activities |
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Cash flows from investing activities: |
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Redemption of debt securities | — | | ||||
Purchases of fixed assets |
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Sales proceeds for fixed assets | | | ||||
Payment for RubrYc asset acquisition | — | ( | ||||
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Cash flows from financing activities: |
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Proceeds from sales of common stock | | | ||||
Cost to acquire capital |
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Subscription receivable | | | ||||
Payment of equipment financing loan | ( | | ||||
Payment of term note payable | ( | | ||||
Payment of finance lease obligation |
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Net cash provided by financing activities |
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Net decrease in cash, cash equivalents and restricted cash |
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Cash, cash equivalents and restricted cash - beginning |
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Cash, cash equivalents and restricted cash - end | $ | | $ | |
The accompanying notes are an integral part of these unaudited condensed consolidated financial statements.
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iBio, Inc. and Subsidiaries
Condensed Consolidated Statements of Cash Flows
(Unaudited; in Thousands)
| Three Months Ended | |||||
September 30, | ||||||
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Schedule of non-cash activities: |
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Fixed assets included in accounts payable in prior period, paid in current period | $ | $ | | |||
Increase in finance lease right-of-use assets for new leases | $ | $ | | |||
Increase in finance lease obligation for new leases | $ | | $ | | ||
RubrYc asset acquisition by issuance of common stock | $ | | $ | | ||
Unpaid fixed assets included in accounts payable | $ | | $ | | ||
Unrealized (gain) loss on available-for-sale debt securities | $ | | $ | | ||
Supplemental cash flow information: |
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Cash paid during the period for interest | $ | | $ | |
The accompanying notes are an integral part of these unaudited condensed consolidated financial statements.
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iBio, Inc. and Subsidiaries
Notes to Condensed Consolidated Financial Statements
(Unaudited)
1. Nature of Business
iBio, Inc. (the "Company") 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.
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.
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 coupled with the Company’s mammalian display technology, StableHu has been shown to accelerate the Lead Optimization process and potentially reduces downstream risks, making the overall development process faster, more efficient and cost-effective.
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.
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.
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.
Artificial Intelligence in Antibody Discovery and Development
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.
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.
Strategy
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.
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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.
The Company’s strategic approach to fulfilling its mission is outlined as follows:
● | Elevate Epitope Discovery: 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. |
● | Capital efficient business approach: The Company’s strategic business approach is structured around the following pillars of value creation: |
o | Strategic Collaborations: 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. |
o | Developing and advancing the Company’s in-house programs cost effectively: 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. |
o | Tech Licensing in Diverse Therapeutic Areas: 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 our partners and amplifying its biological impact and insights. 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. |
● | Unwavering Investment in advancing the platform: The Company maintains an unwavering commitment to invest in its platform, continually unlocking the potential of biology through AI and machine learning. 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. |
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.
AI Drug Discovery Platform
Overview
The Company’s platform comprises five key components, each playing a crucial role in the discovery and optimization of precision antibodies.
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. 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 us to rapidly advance antibodies from concept to in vivo proof-of-concept (POC).
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● | AI Epitope Steering Technology |
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.
● | Naïve Human Antibody Library |
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.
● | StableHuTM AI Antibody-Optimizing Technology |
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.
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 |
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 us to pair the panel with a wide variety of tumor-targeting antibodies. Importantly, we were 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, reduces the risk of immunogenicity.
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.
● | ShieldTx |
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
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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. 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.
Modalities
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.
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.
Pipeline
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.
Therapeutics
Immuno-Oncology
IBIO-101
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 monoclonal antibody [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.
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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.
Unfortunately, while first-generation mAbs successfully bound CD25+ 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.
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.
The Company continues to advance its IL-2 sparing anti-CD25 antibody, IBIO-101, and anticipate moving the program from IND-enabling stage to an IND filing during the calendar year 2025.
TROP-2 x CD3 Bispecific
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.
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.
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.
MUC16
MUC16 is a well-known cancer target often overexpressed in several types of solid tumors, including ovarian, lung, and pancreas 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.
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, we 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.
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EGFRvIII
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.
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.
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.
CCR8
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.
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.
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's 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.
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.
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. We have specifically engineered the anti-CCR8 molecule as a high Antibody-Dependent Cellular Cytotoxicity (ADCC) antibody to enhance its ability to attack cancer cells.
Autoimmune
PD-1 Agonist
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's 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.
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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 in vitro characterization, and we anticipate it will be advanced into in vivo models as IBIO-102, in the near future.
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.
2. Basis of Presentation
Interim Consolidated Financial Statements
The accompanying unaudited condensed consolidated financial statements have been prepared from the books and records of the Company and include all normal and recurring adjustments which, in the opinion of management, are necessary for a fair presentation in accordance with accounting principles generally accepted in the United States (“U.S. GAAP”) for interim consolidated financial information and Rule 8-03 of Regulation S-X promulgated by the U.S. Securities and Exchange Commission (the “SEC”). Accordingly, these interim financial statements do not include all of the information and footnotes required for complete annual consolidated financial statements. Interim results are not necessarily indicative of the results that may be expected for the full year. Interim unaudited condensed consolidated financial statements should be read in conjunction with the audited financial statements and the notes thereto included in the Company’s Annual Report on Form 10-K for the prior year ended June 30, 2023, filed with the SEC on September 27, 2023 (the “Annual Report”), from which the accompanying condensed consolidated balance sheet dated June 30, 2023 was derived.
Principles of Consolidation
The condensed consolidated financial statements include the accounts of the Company and its wholly-owned subsidiaries. All intercompany balances and transactions have been eliminated as part of the consolidation. Non-controlling interest in the consolidated financial statements represented the share of the loss in iBio CDMO, LLC (“iBio CDMO”) for an affiliate of Eastern Capital Limited (“Eastern Capital”) through November 1, 2021, the date the Company acquired the remaining interest in iBio CDMO. See Note 6 – Significant Transactions.
Going Concern
The history of significant losses, the negative cash flow from operations, the limited cash resources on hand and the dependence by the Company on obtaining additional financing to fund its operations after the current cash resources are exhausted raise substantial doubt about the Company's ability to continue as a going concern. Management’s current financing and business plans have not mitigated such substantial doubt about the Company’s ability to continue as a going concern for at least 12 months from the date of filing this Quarterly Report on Form 10-Q for the quarterly period ended September 30, 2023. In an effort to mitigate the substantial doubt about continuing as a going concern and increase cash reserves, the Company has raised funds from time to time through equity offerings or other financing alternatives, reduced its work force by approximately
Furthermore, on September 15, 2023, iBio CDMO LLC, or iBio CDMO, the Company’s subsidiary, entered into a purchase and sale agreement, dated as of September 15, 2023 (the “Purchase and Sale Agreement”), with Majestic Realty Co., a California corporation, (“Majestic Realty”), which sale if consummated would have allowed the Company to pay all outstanding amounts under the Term Loan. On November 7, 2023, the Company received written notice from Majestic Realty of its election to terminate the Purchase and Sale Agreement, dated as of September 15, 2023, between Majestic Realty and iBio CDMO LLC, pursuant to which iBio CDMO had agreed to sell to Majestic Realty the Property. Although the CDMO Facility has been listed for sale, we do not currently have a buyer for the Property. If a sale of the Facility is not consummated prior to the December 31, 2023 maturity date of the Term Loan it is unlikely the Company will have sufficient funds to repay the Term Loan on its maturity date, which Term Loan has an outstanding balance of $
Additionally, in July 2022, the Company initiated the selling of the CDMO assets and facility, and since then has sold a substantial portion of the CDMO assets. (See Note 3 – Discontinued Operations for more information.)
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During the first quarter ended on September 30, 2023, the Company completed at-the-market offerings and sold
The Company’s cash, cash equivalents and restricted cash of approximately $
The accompanying consolidated financial statements do not include any adjustments related to the recoverability and classification of assets or the amounts and classification of liabilities that may result from the substantial doubt about the Company’s ability to continue as a going concern.
Reverse Stock Split
On September 22, 2022, the Company's Board of Directors approved the implementation of a reverse stock split (the “Reverse Split”) at a ratio of one-for-twenty-five (1:
3. Discontinued Operations
On November 3, 2022, the Company announced it was seeking to divest its contract development and manufacturing organization (iBio CDMO, LLC) in order to complete its transformation into an antibody discovery and development company. In conjunction with the divestment, the Company commenced a workforce reduction of approximately
Through the process of seeking to divest its contract development and manufacturing organization, the Company entered into a Purchase and Sale Agreement Majestic Realty to sell to Majestic Realty for a purchase price of $
Additionally, on February 10, 2023, the Company, entered into an Auction Sale Agreement (the “Auction Sale Agreement”) with Holland Industrial Group, together with Federal Equipment Company and Capital Recovery Group LLC (collectively, the “Auctioneers”) for the sale at public auction of equipment and other tangible personal property (the “Equipment”) located at the Facility. The Auctioneer guaranteed an amount of gross proceeds from the sale of the equipment of $
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The Company incurred pre-tax charges of approximately $
The results of iBio CDMO's operations are reported as discontinued operations for three months ended September 30, 2023 and for the three months ended September 30, 2022. In addition, those assets and liabilities associated with the discontinued operations of the CDMO that the Company intends to sell have been classified as “held for sale” on the consolidated balance sheet at September 30, 2023 and as of June 30, 2023. The Company has chosen not to segregate the cash flows of iBio CDMO in the consolidated statement of cash flows. Supplemental disclosures related to discontinued operations for the statements of cash flows have been provided below. Unless noted otherwise, discussion in the Notes to the Condensed Consolidated Financial Statements refers to the Company's continuing operations.
The following table presents a reconciliation of the major financial lines constituting the results of operations for discontinued operations to the loss from discontinued operations presented separately in the condensed consolidated statements of operations (in thousands):
Three Months Ended | Three Months Ended | |||||
September 30, | September 30, | |||||
2023 | 2022 | |||||
Revenues | | $ | — | $ | | |
Cost of goods sold | — | | ||||
Gross profit | — | | ||||
Operating expenses: | ||||||
Research and development | — | | ||||
General and administrative | | | ||||
Gain on sale of fixed assets | ( | — | ||||
Total operating expenses | | | ||||
Other expenses: | ||||||
Interest expense - term note payable | ( | ( | ||||
Other | — | ( | ||||
Total other expenses | | ( | ( | |||
Loss from discontinued operations | | $ | ( | $ | ( |
The following table presents net carrying values related to the major classes of assets that were classified as held for sale at September 30, 2023 and June 30, 2023 (in thousands):
September 30, | June 30, | |||||
2023 | 2023 | |||||
Current assets: | ||||||
Operating lease right-of-use assets | $ | | $ | | ||
Property and equipment, net | | | ||||
Total current assets | $ | | $ | | ||
Current liabilities: | ||||||
Operating lease obligation | $ | | $ | | ||
Total current liabilities | $ | | $ | | ||
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The following table presents the supplemental disclosures related to discontinued operations for the statements of cash flows (in thousands):
Three Months Ended September 30, | ||||||
2023 | 2022 | |||||
Depreciation expense | | $ | — | $ | | |
Amortization of finance lease right-of-use assets | | | ||||
Purchase of fixed assets | — | | ||||
Investing non-cash transactions: | ||||||
Fixed assets included in accounts payable in prior period, paid in current period | — | | ||||
Unpaid fixed assets included in accounts payable | — | | ||||
Supplemental cash flow information: | ||||||
Cash paid during the period for interest | | |
4. Summary of Significant Accounting Policies
The Company’s significant accounting policies are described in Note 4 of the Notes to Consolidated Financial Statements in the Annual Report on Form 10-K for the year ended June 30, 2023.
Use of Estimates
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.
Accounts Receivable
Accounts receivable are reported at their outstanding unpaid principal balances net of allowances for uncollectible accounts. The Company provides for allowances for uncollectible receivables based on its estimate of uncollectible amounts considering age, collection history, and other factors considered appropriate. Management’s policy is to write off accounts receivable against the allowance for doubtful accounts when a balance is determined to be uncollectible. The Company held
Revenue Recognition
The Company accounts for its revenue recognition under Accounting Standards Codification (“ASC”) 606, Revenue from Contracts with Customers. Under this standard, the Company recognizes revenue when a customer obtains control of promised services or goods in an amount that reflects the consideration to which the Company expects to receive in exchange for those goods or services. In addition, the standard requires disclosure of the nature, amount, timing, and uncertainty of revenue and cash flows arising from customer contracts.
The Company applies the following steps when recognizing revenue from contracts with customers: (i) identify the contract, (ii) identify the performance obligations, (iii) determine the transaction price, (iv) allocate the transaction price to the performance obligations and (v) recognize revenue when a performance obligation is satisfied. The Company only applies the five-step model to contracts when it is probable that the Company will collect the consideration the Company is entitled to in exchange for the goods or services the Company transfers to the customers. The Company analyzes its agreements to determine whether the elements can be separated and accounted for individually or as a single unit of accounting. Allocation of revenue to individual elements that qualify for separate accounting is based on the separate selling prices determined for each component, and total contract consideration is then allocated pro rata across the components of the arrangement. If separate selling prices are not available, the Company will use its best estimate of such selling prices, consistent with the overall pricing strategy and after consideration of relevant market factors.
If a loss on a contract is anticipated, such loss is recognized in its entirety when the loss becomes evident. When the current estimates of the amount of consideration that is expected to be received in exchange for transferring promised goods or services to the customer
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indicates a loss will be incurred, a provision for the entire loss on the contract is made. At September 30, 2023 and June 30, 2023, the Company had
The Company generates (or may generate in the future) contract revenue under the following types of contracts:
Fixed-Fee
Under a fixed-fee contract, the Company charges a fixed agreed upon amount for a deliverable. Fixed-fee contracts have fixed deliverables upon completion of the project. Typically, the Company recognizes revenue for fixed-fee contracts after projects are completed, delivery is made and title transfers to the customer, and collection is reasonably assured.
Revenue can be recognized either 1) over time or 2) at a point in time. Revenue reported in discontinued operation was recognized at a point in time for all periods presented.
Collaborations/Partnerships
The Company may enter into research and discovery collaborations with third parties that involve a joint operating activity, typically a research and/or development effort, where both parties are active participants in the activity and are exposed to the significant risks and rewards of the activity. The Company’s rights and obligations under its collaboration agreements vary and typically include milestone payments, contingent upon the occurrence of certain future events linked to the success of the asset in development, as well as expense reimbursements from or payments to the collaboration partner.
The Company considers the nature and contractual terms of agreements and assesses whether an agreement involves a joint operating activity pursuant to which the Company is an active participant and is exposed to significant risks and rewards dependent on the commercial success of the activity as described under ASC 808, Collaborative Arrangements (ASC 808). For arrangements determined to be within the scope of ASC 808 where a collaborative partner is not a customer for certain research and development activities, the Company accounts for payments received for the reimbursement of research and development costs as a contra-expense in the period such expenses are incurred. If payments from the collaborative partner to the Company represent consideration from a customer in exchange for distinct goods and services provided, then the Company accounts for those payments within the scope of ASC 606, Revenue from Contracts with Customers (ASC 606).
Collaborative revenues generated typically include payment to the Company related to one or more of the following: non-refundable upfront license fees, development and commercial milestones, and partial or complete reimbursement of research and development costs.
For the three months ended September 30, 2023, revenue in the amount of $
Contract Assets
A contract asset is an entity’s right to payment for goods and services already transferred to a customer if that right to payment is conditional on something other than the passage of time. Generally, an entity will recognize a contract asset when it has fulfilled a contract obligation but must perform other obligations before being entitled to payment.
Contract assets consist primarily of the cost of project contract work performed by third parties for which the Company expects to recognize any related revenue at a later date, upon satisfaction of the contract obligations. At September 30, 2023 and June 30, 2023, contract assets were $
Contract Liabilities
A contract liability is an entity’s obligation to transfer goods or services to a customer at the earlier of (1) when the customer prepays consideration or (2) the time that the customer’s consideration is due for goods and services the entity will yet provide. Generally, an entity will recognize a contract liability when it receives a prepayment.
Contract liabilities consist primarily of consideration received, usually in the form of payment, on project work to be performed whereby the Company expects to recognize any related revenue at a later date, upon satisfaction of the contract obligations. At both September 30, 2023 and June 30, 2023, contract liabilities were $
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Leases
The Company accounts for leases under the guidance of ASC 842, Leases ("ASC 842"). The standard established a right-of-use (“ROU”) model requiring a lessee to record a ROU asset and a lease liability on the balance sheet for all leases with terms longer than 12 months and classified as either an operating or finance lease. The adoption of ASC 842 had a significant effect on the Company’s balance sheet, resulting in an increase in non-current assets and both current and non-current liabilities.
In accordance with ASC 842, at the inception of an arrangement, the Company determines whether the arrangement is or contains a lease based on the unique facts and circumstances present and the classification of the lease including whether the contract involves the use of a distinct identified asset, whether the Company obtains the right to substantially all the economic benefit from the use of the asset, and whether the Company has the right to direct the use of the asset. Leases with a term greater than one year are recognized on the balance sheet as ROU assets, lease liabilities and, if applicable, long-term lease liabilities. The Company has elected not to recognize on the balance sheet leases with terms of one year or less under practical expedient in paragraph ASC 842-20-25-2. For contracts with lease and non-lease components,
.The lease liabilities and the corresponding ROU assets are recorded based on the present value of lease payments over the expected remaining lease term. The implicit rate within the Company’s existing finance (capital) lease was determinable and, therefore, used at the adoption date of ASC 842 to determine the present value of lease payments under the finance lease. The implicit rate within the Company’s operating lease was not determinable and, therefore, the Company used the incremental borrowing rate at the lease commencement date to determine the present value of lease payments. The determination of the Company’s incremental borrowing rate requires judgment. The Company will determine the incremental borrowing rate for each new lease using its estimated borrowing rate.
An option to extend the lease is considered in connection with determining the ROU asset and lease liability when it is reasonably certain the Company will exercise that option. An option to terminate is considered unless it is reasonably certain the Company will not exercise the option.
Cash, Cash Equivalents and Restricted Cash
The Company considers all highly-liquid instruments purchased with an original maturity of three months or less to be cash equivalents. Cash equivalents at September 30, 2023 and June 30, 2023 consisted of money market accounts. Restricted cash consisted of $
The following table summarizes the components of total cash, cash equivalents and restricted cash in the condensed consolidated statements of cash flows (in thousands):
September 30, | June 30, | |||||
2023 | 2023 | |||||
Cash and equivalents | | $ | | $ | | |
Collateral held for letter of credit - term note payable | | | ||||
Collateral held for letter of credit - San Diego lease | | | ||||
Collateral held for Company purchasing card | | | | |||
Total cash, cash equivalents and restricted cash | | $ | | $ | |
The collateral held for the letters of credit for the San Diego lease and the Company purchasing card are classified as long-term on the balance sheet at September 30, 2023 and June 30, 2023.
Investments in Debt Securities
Debt investments were classified as available-for-sale. Changes in fair value were recorded in other comprehensive income (loss). Fair value was calculated based on publicly available market information. Discounts and/or premiums paid when the debt securities were acquired are amortized to interest income over the terms of the debt securities. The Company held
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Inventory
Inventory is stated at the lower of cost or net realizable value on the first-in, first-out basis. The Company held
Research and Development
The Company accounts for research and development costs in accordance with the Financial Accounting Standards Board (“FASB”) ASC 730-10, Research and Development (“ASC 730-10”). Under ASC 730-10, all research and development costs must be charged to expense as incurred. Accordingly, internal research and development costs are expensed as incurred. Third-party research and development costs are expensed when the contracted work has been performed or as milestone results have been achieved. Research and development expense was reported in continuing operations for the three months ended September 30. 2023.
Right-of-Use Assets
Assets held under the terms of finance (capital) leases are amortized on a straight-line basis over the terms of the leases or the economic lives of the assets. Obligations for future lease payments under finance (capital) leases are shown within liabilities and are analyzed between amounts falling due within and after one year. See Note 9 – Finance Lease ROU Assets and Note 14 – Finance Lease Obligations for additional information.
Fixed Assets
Fixed assets are stated at cost net of accumulated depreciation. Depreciation is calculated using the straight-line method over the estimated useful lives of the assets ranging from
The Company monitors fixed assets for impairment indicators throughout the year. When necessary, charges for impairments of long-lived assets are recorded for the amount by which the fair value is less than the carrying value of these assets. Changes in the Company’s business strategy or adverse changes in market conditions could impact impairment analyses and require the recognition of an impairment charge. 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.
See Note 11 – Fixed Assets for additional information.
Intangible Assets
Identifiable intangible assets are comprised of definite life intangible assets and indefinite life intangible assets.
The Company accounts for definite life intangible assets at either their historical cost or allocated purchase price at asset acquisition and records amortization utilizing the straight-line method based upon their estimated useful lives. Intellectual property is amortized over
. The Company reviews the carrying value of its definite life intangible assets for impairment whenever events or changes in business circumstances indicate the carrying amount of such assets may not be fully recoverable. The carrying value is not recoverable if it exceeds the sum of the undiscounted cash flows expected to result from the use and eventual disposition of the asset. An impairment loss is measured as the amount by which the carrying amount exceeds it fair value.For indefinite life intangible assets, the Company performs an impairment test annually and whenever events or changes in circumstances indicate the carrying value of an asset may not be recoverable. The Company determines the fair value of the asset annually or when triggering events are present, based on discounted cash flows and records an impairment loss if book value exceeds fair value.
Evaluating for 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 the Company’s business strategy or adverse changes in market conditions could impact impairment analyses and require the recognition of an impairment charge. 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.
See Note 12 – Intangible Assets for additional information.
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Share-based Compensation
The Company recognizes the cost of all share-based payment transactions at fair value. Compensation cost, measured by the fair value of the equity instruments issued, adjusted for estimated forfeitures, is recognized in the financial statements as the respective awards are earned over the performance or service period. The Company uses historical data to estimate forfeiture rates.
The impact that share-based payment awards will have on the Company’s results of operations is a function of the number of shares awarded, the trading price of the Company’s stock at the date of grant or modification, the vesting schedule and forfeitures. Furthermore, the application of the Black-Scholes option pricing model employs weighted-average assumptions for expected volatility of the Company’s stock, expected term until exercise of the options, the risk-free interest rate, and dividends, if any, to determine fair value.
Expected volatility is based on historical volatility of the Common Stock; the expected term until exercise represents the weighted-average period of time that options granted are expected to be outstanding giving consideration to vesting schedules and the Company’s historical exercise patterns; and the risk-free interest rate is based on the U.S. Treasury yield curve in effect at the time of grant for periods corresponding with the expected life of the option. The Company has not paid any dividends since its inception and does not anticipate paying any dividends for the foreseeable future, so the dividend yield is assumed to be
Concentrations of Credit Risk
Cash
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 September 30, 2023 and June 30, 2023, amounts in excess of insured limits were approximately $
Revenue
During the three months ended September 30, 2023, the Company reported license revenue from
Recently Issued Accounting Pronouncements
In June 2016, the FASB issued ASU 2016-13, Financial Instruments - Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments (“ASU 2016-13”), which requires an entity to assess impairment of its financial instruments based on its estimate of expected credit losses. Since the issuance of ASU 2016-13, the FASB released several amendments to improve and clarify the implementation guidance. In November 2019, the FASB issued ASU 2019-10, Financial Instruments - Credit Losses (Topic 326), Derivatives and Hedging (Topic 815), and Leases (Topic 842): Effective Dates, which amended the effective date of the various topics. As the Company is a smaller reporting company, the provisions of ASU 2016-13 and the related amendments are effective for fiscal years, and interim periods within those fiscal years, beginning after December 15, 2022 (quarter ending September 30, 2023, for the Company). Entities are required to apply these changes through a cumulative-effect adjustment to retained earnings as of the beginning of the first reporting period in which the guidance is effective. The adoption of ASU 2016-13 did not impact the Company’s consolidated financial statements.
Management does not believe that any other recently issued, but not yet effective, accounting standard if currently adopted would have a material effect on the accompanying condensed consolidated financial statements. Most of the newer standards issued represent technical corrections to the accounting literature or application to specific industries which have no effect on the Company’s condensed consolidated financial statements.
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5. Financial Instruments and Fair Value Measurement
The carrying values of cash and cash equivalents, restricted cash, accounts receivable, accounts payable and term note payable in the Company’s condensed consolidated balance sheets approximated their fair values as of September 30, 2023 and June 30, 2023 due to their short-term nature. The carrying value of the promissory note receivable, the term note payable and finance lease obligation approximated to fair value as of September 30, 2023 and June 30, 2023 as the interest rates related to the financial instruments approximated market.
The Company accounts for its investments in debt securities at fair value. The following provides a description of the three levels of inputs that may be used to measure fair value under the standard, the types of investments that fall under each category, and the valuation methodologies used to measure these investments at fair value:
• | Level 1 – Inputs are based upon unadjusted quoted prices for identical instruments in active markets. |
• | Level 2 – Inputs to the valuation include quoted prices for similar assets and liabilities in active markets, quoted prices for identical or similar assets or liabilities in inactive markets, inputs other than quoted prices that are observable for the asset or liability, and inputs that are derived principally from or corroborated by observable market data by correlation or other means. If the asset or liability has a specified (contractual) term, the Level 2 input must be observable for substantially the full term of the asset or liability. All debt securities were valued using Level 2 inputs. |
• | Level 3 – Inputs to the valuation methodology are unobservable and significant to the fair value measurement. |
The Company’s fixed assets and amortizable intangible assets are measured at fair value on a nonrecurring basis; that is, these assets are not measured at fair value on an ongoing basis, but are subject to fair value adjustments in certain circumstances, such as when there is evidence of impairment.
The Company initially marketed the CDMO business and during the second quarter of Fiscal 2023, changed its strategy to selling the stand-alone CDMO assets. These assets were assessed for impairment and the analysis resulted in the expected future cash flows from the sale of the Facility and equipment falling below its carrying value. The Company utilized a market approach, using independent third-party appraisals, including comparable assets, in addition to bids received from prospective buyers, to estimate the fair value of the Facility and equipment. As a result, the carrying value of the Facility and equipment was reduced to their estimated fair values of $
The following table shows the fair value of the Company's fixed assets included in Current Assets Held For Sale measured at fair value on a non-recurring basis as of September 30, 2023 (amounts in thousands):
September 30, 2023 | |||||||||||||||
Fair Value Hierarchy | |||||||||||||||
Quoted Prices in Active Markets for Identical Assets (Level 1) | Significant Other Observable Inputs (Level 2) | Significant Unobservable Inputs (Level 3) | Total Fair Value | Total Impairments | |||||||||||
Building in Bryan, Texas | $ | — | $ | — | $ | | $ | | $ | |
During the second quarter of Fiscal 2023, the Company re-evaluated its business strategy and reviewed its product portfolio. After such review, the Company identified intellectual property, patent and licenses that would no longer be utilized and therefore were fully impaired (Level 3). See Note 12 – Intangible Assets for additional information.
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6. Significant Transactions
Affiliates of Eastern Capital Limited
On November 1, 2021, the Company and its subsidiary, iBio CDMO LLC (“iBio CDMO”, and collectively with the Company, the “Purchaser”) entered into a series of agreements (the “Transaction”) with College Station Investors LLC (“College Station”), and Bryan Capital Investors LLC (“Bryan Capital” and, collectively with College Station, “Seller”), each affiliates of Eastern Capital Limited (“Eastern,” a former significant stockholder of the Company) described in more detail below whereby in exchange for a certain cash payment and a warrant the Company:
(i) | acquired both the Facility where iBio CDMO at that time and currently conducts business and also the rights as the tenant in the Facility’s ground lease; |
(ii) | acquired all of the equity owned by one of the affiliates of Eastern in the Company and iBio CDMO; and |
(iii) | otherwise terminated all agreements between the Company and the affiliates of Eastern. |
The Facility is a life sciences building located on land owned by the Board of Regents of the Texas A&M University System (“Texas A&M”) and is designed and equipped for the manufacture of plant-made biopharmaceuticals. iBio CDMO had held a sublease for the Facility through 2050, subject to extension until 2060 (the “Sublease”) until the purchase of the Facility described below.
The Purchase and Sale Agreement
On November 1, 2021, the Purchaser entered into a Purchase and Sale Agreement (the “PSA”) with the Seller pursuant to which: (i) the Seller sold to Purchaser all of its rights, title and interest as the tenant in the Ground Lease Agreement (the “Ground Lease Agreement”) that it entered into with Texas A&M (the “Landlord’’) related to the land at which the Facility is located together with all improvements pertaining thereto (the “Ground Lease Property”), which previously had been the subject of the Sublease; (ii) the Seller sold to Purchaser all of its rights, title and interest to any tangible personal property owned by Seller and located on the Ground Lease Property including the Facility; (iii) the Seller sold to Purchaser all of its rights, title and interest to all licensed, permits and authorization for use of the Property; and (iv) College Station and iBio CDMO terminated the Sublease. The total purchase price for the Ground Lease Property, the termination of the Sublease and other agreements among the parties, and the equity described below was $
As discussed above, iBio CDMO is being accounted for as a discontinued operation. As such, the assets acquired and/or leased are now classified as assets held for sale on the September 30, 2023 and June 30, 2023 condensed consolidated balance sheets.
The Equity Purchase Agreement
The Company also entered into an Equity Purchase Agreement with Bryan Capital on November 1, 2021 (the “Equity Purchase Agreement”) pursuant to which the Company acquired for $
The Credit Agreement
In connection with the PSA, iBio CDMO entered into a Credit Agreement, dated November 1, 2021, with Woodforest pursuant to which Woodforest provided iBio CDMO a $
The Warrant
As part of the consideration for the purchase and sale of the rights set forth above, the Company issued to Bryan Capital a Warrant to purchase
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date the exercise price of the Warrant exceeds its fair market value as determined in accordance with the terms of the Warrant and adjustments in the case of stock dividends and stock splits. Of the shares issued under the Warrant,
RubrYc
On August 23, 2021, the Company entered into a series of agreements with RubrYc Therapeutics, Inc. (“RubrYc”) described in more detail below:
Collaboration and License Agreement
The Company entered into a collaboration and licensing agreement (the “RTX-003 License Agreement”) with RubrYc to further develop RubrYc’s immune-oncology antibodies in its RTX-003 (now referred to as IBIO-101) campaign. Under the terms of the agreement, the Company is solely responsible for worldwide research and development activities for development of the RTX-003 antibodies for use in pharmaceutical products in all fields. RubrYc was also entitled to receive royalties in the mid-single digits on net sales of RTX-003 antibodies, subject to adjustment under certain circumstances. The RTX-003 License Agreement was terminated when the Company acquired substantially all of the assets of RubrYc in September 2022.
Collaboration, Option and License Agreement
The Company entered into an agreement with RubrYc (the “Collaboration, Option and License Agreement”) to collaborate for up to
Stock Purchase Agreement
In connection with the entry into the Collaboration, Option and License Agreement and RTX-003 License Agreement, the Company also entered into a Stock Purchase Agreement (“Stock Purchase Agreement”) with RubrYc whereby the Company purchased a total of
The Company accounted for the agreements as an asset purchase and allocated the purchase price of $
Preferred stock | | $ | |
Intangible assets | | ||
Prepaid expenses | | | |
| $ | |
Subsequently after the Company acquired substantially all of the assets of RubrYc in September 2022, RubrYc ceased its operations, and completed bankruptcy proceedings in June 2023. The Company recorded an impairment of the investment in the amount of $