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Metagenomi Therapeutics (MGX)


Market Price (3/2/2026): $1.53 | Market Cap: $57.1 Mil
Sector: Health Care | Industry: Biotechnology

Metagenomi Therapeutics (MGX)


Market Price (3/2/2026): $1.53
Market Cap: $57.1 Mil
Sector: Health Care
Industry: Biotechnology

Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.

0 Cash is significant % of market cap
Net D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -251%
Weak multi-year price returns
2Y Excs Rtn is -122%, 3Y Excs Rtn is -158%
Not profitable at operating income level
Op Inc LTMOperating Income, Last Twelve Months is -92 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -298%
1 Valuation becoming less expensive
P/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -30%
  Weak revenue growth
Rev Chg LTMRevenue Change % Last Twelve Months (LTM) is -44%, Rev Chg QQuarterly Revenue Change % is -25%
2 Megatrend and thematic drivers
Megatrends include Biotechnology & Genomics, and Precision Medicine. Themes include Gene Editing & Therapy, Targeted Therapies, Show more.
  Significant share based compensation
SBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 41%
3   Not cash flow generative
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -296%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -299%
4   Yield minus risk free rate is negative
ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -161%
5   Key risks
MGX key risks include [1] its entirely preclinical pipeline with a distant IND filing anticipated in late 2026 for its lead candidate, Show more.
0 Cash is significant % of market cap
Net D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -251%
1 Valuation becoming less expensive
P/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -30%
2 Megatrend and thematic drivers
Megatrends include Biotechnology & Genomics, and Precision Medicine. Themes include Gene Editing & Therapy, Targeted Therapies, Show more.
3 Weak multi-year price returns
2Y Excs Rtn is -122%, 3Y Excs Rtn is -158%
4 Not profitable at operating income level
Op Inc LTMOperating Income, Last Twelve Months is -92 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -298%
5 Weak revenue growth
Rev Chg LTMRevenue Change % Last Twelve Months (LTM) is -44%, Rev Chg QQuarterly Revenue Change % is -25%
6 Significant share based compensation
SBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 41%
7 Not cash flow generative
CFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -296%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -299%
8 Yield minus risk free rate is negative
ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -161%
9 Key risks
MGX key risks include [1] its entirely preclinical pipeline with a distant IND filing anticipated in late 2026 for its lead candidate, Show more.

Valuation, Metrics & Events

Price Chart

Why The Stock Moved

Qualitative Assessment

AI Analysis | Feedback

Stock Movement Drivers

Fundamental Drivers

The -13.1% change in MGX stock from 11/30/2025 to 3/1/2026 was primarily driven by a -13.1% change in the company's P/S Multiple.
(LTM values as of)113020253012026Change
Stock Price ($)1.751.52-13.1%
Change Contribution By: 
Total Revenues ($ Mil)31310.0%
P/S Multiple2.11.8-13.1%
Shares Outstanding (Mil)37370.0%
Cumulative Contribution-13.1%

LTM = Last Twelve Months as of date shown

Market Drivers

11/30/2025 to 3/1/2026
ReturnCorrelation
MGX-13.1% 
Market (SPY)0.4%48.1%
Sector (XLV)1.6%10.1%

Fundamental Drivers

The -12.6% change in MGX stock from 8/31/2025 to 3/1/2026 was primarily driven by a -8.5% change in the company's Total Revenues ($ Mil).
(LTM values as of)83120253012026Change
Stock Price ($)1.741.52-12.6%
Change Contribution By: 
Total Revenues ($ Mil)3431-8.5%
P/S Multiple1.91.8-4.1%
Shares Outstanding (Mil)3737-0.5%
Cumulative Contribution-12.6%

LTM = Last Twelve Months as of date shown

Market Drivers

8/31/2025 to 3/1/2026
ReturnCorrelation
MGX-12.6% 
Market (SPY)6.6%35.2%
Sector (XLV)17.1%12.7%

Fundamental Drivers

The -25.9% change in MGX stock from 2/28/2025 to 3/1/2026 was primarily driven by a -43.9% change in the company's Total Revenues ($ Mil).
(LTM values as of)22820253012026Change
Stock Price ($)2.051.52-25.9%
Change Contribution By: 
Total Revenues ($ Mil)5531-43.9%
P/S Multiple1.41.834.2%
Shares Outstanding (Mil)3737-1.6%
Cumulative Contribution-25.9%

LTM = Last Twelve Months as of date shown

Market Drivers

2/28/2025 to 3/1/2026
ReturnCorrelation
MGX-25.9% 
Market (SPY)16.5%25.5%
Sector (XLV)9.0%17.8%

Fundamental Drivers

null
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Market Drivers

2/28/2023 to 3/1/2026
ReturnCorrelation
MGX  
Market (SPY)79.6%14.2%
Sector (XLV)31.8%10.2%

Return vs. Risk

Price Returns Compared

 202120222023202420252026Total [1]
Returns
MGX Return----65%-55%-1%-84%
Peers Return-26%-13%-15%-50%-32%4%-81%
S&P 500 Return27%-19%24%23%16%1%84%

Monthly Win Rates [3]
MGX Win Rate---27%33%50% 
Peers Win Rate33%58%54%38%56%60% 
S&P 500 Win Rate75%42%67%75%67%50% 

Max Drawdowns [4]
MGX Max Drawdown----84%-65%-13% 
Peers Max Drawdown-37%-32%-42%-51%-49%-7% 
S&P 500 Max Drawdown-1%-25%-1%-2%-15%-1% 


[1] Cumulative total returns since the beginning of 2021
[2] Peers: VRTX, AKTS, ALPS, DCOY, DFTX.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 2/27/2026 (YTD)

How Low Can It Go

MGX has limited trading history. Below is the Health Care sector ETF (XLV) in its place.

Unique KeyEventXLVS&P 500
2022 Inflation Shock2022 Inflation Shock  
2022 Inflation Shock% Loss% Loss-16.1%-25.4%
2022 Inflation Shock% Gain to Breakeven% Gain to Breakeven19.1%34.1%
2022 Inflation ShockTime to BreakevenTime to Breakeven599 days464 days
2020 Covid Pandemic2020 Covid Pandemic  
2020 Covid Pandemic% Loss% Loss-28.8%-33.9%
2020 Covid Pandemic% Gain to Breakeven% Gain to Breakeven40.4%51.3%
2020 Covid PandemicTime to BreakevenTime to Breakeven116 days148 days
2018 Correction2018 Correction  
2018 Correction% Loss% Loss-15.8%-19.8%
2018 Correction% Gain to Breakeven% Gain to Breakeven18.8%24.7%
2018 CorrectionTime to BreakevenTime to Breakeven326 days120 days
2008 Global Financial Crisis2008 Global Financial Crisis  
2008 Global Financial Crisis% Loss% Loss-40.6%-56.8%
2008 Global Financial Crisis% Gain to Breakeven% Gain to Breakeven68.3%131.3%
2008 Global Financial CrisisTime to BreakevenTime to Breakeven1,100 days1,480 days

Compare to VRTX, AKTS, ALPS, DCOY, DFTX

In The Past

SPDR Select Sector Fund's stock fell -16.1% during the 2022 Inflation Shock from a high on 4/8/2022. A -16.1% loss requires a 19.1% gain to breakeven.

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Asset Allocation

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About Metagenomi Therapeutics (MGX)

We are a precision genetic medicines company committed to developing curative therapeutics for patients using our proprietary, comprehensive metagenomics-derived genome editing toolbox. Genetic diseases are caused by a diverse set of mutations that have been largely inaccessible by genome engineering approaches to date. Genetic mutations are seen in a variety of forms, including deletions, insertions, single-base-pair changes and sequence repeats, and are found throughout the genome and across a variety of different cell types, tissues, and organ systems. Additionally, many diseases lack a genetic origin but have the potential to be effectively and permanently addressed through genome editing. We are harnessing the power of metagenomics, the study of genetic material recovered from the natural environment, to unlock four billion years of microbial evolution to discover and develop a suite of novel editing tools capable of correcting any type of genetic mutation found anywhere in the genome. Our comprehensive genome editing toolbox includes programmable nucleases, base editors, and RNA and DNA-mediated integration systems (including prime editing systems and clustered regularly interspaced short palindromic repeat (“CRISPR”)-associated transposases (“CASTs”)). We believe our diverse and modular toolbox positions us to access the entire genome and select the optimal tool to unlock the full potential of genome editing for patients. The company was founded by pioneers in the field of metagenomics, a powerful science that allows us to tap into the diversity of microbial life on this planet. The metagenomics process starts by collecting samples from microbe-rich ecosystems ranging from simple home gardens to extreme locations such as hydrothermal vents below the ocean. We then extract the DNA from these environmental samples and deeply sequence them to fully reconstruct the genomes of the resident microbes. Each sample may include thousands of distinct genomes from previously unknown organisms revealing novel cellular machinery that we utilize as building blocks for our editing systems. Using high-throughput screening, artificial intelligence (“AI”), and proprietary algorithms, we rapidly mine through billions of novel proteins from our genome-resolved metagenomics database to create genome editing tools. To date, we have analyzed over 460 trillion base pairs, predicted over 7.4 billion proteins, including over 322 million CRISPR-associated (“Cas”) proteins and over 1.75 million CRISPRs, which we estimate has resulted in the identification of over 20,000 novel genome editing systems. Simultaneously, we have assembled extensive libraries of millions of nucleases, deaminases, reverse transcriptases (“RTs”) and over one thousand CASTs. Our platform is designed to enable us to rapidly and effectively find, screen, and select tools with the highest potential targetability, specificity, and efficiency in order to develop them into genetic medicines. The iterative nature of our process, underpinned by AI, allows us to continuously push the boundaries of innovation. Our proprietary toolbox of editing systems We have developed an expansive and modular toolbox of next-generation genome editing systems that will allow us to interact with the human genome in a site-specific manner, where each tool can be matched to specific disease targets. --- Our programmable nucleases are the backbone of our broad set of genome editing tools. These novel nucleases including type II and type V Cas nucleases, of which some are ultra-small systems that we call SMall Arginine-Rich sysTems (“SMART”) nucleases, have unique targeting abilities and can be programmed by guide RNAs (“gRNA”) to target and cut at specific locations in any genome sequence. Targeted genomic breaks trigger DNA repair pathways that can be used for genome editing, for example, to integrate a gene at a target site (knock-in) or for gene inactivation (knockdown). Our toolbox contains thousands of CRISPR nucleases with diverse abilities to target different parts of the genome, allowing us to select the ideal nuclease for targeting any given gene in a site-specific manner and potentially overcome a major limitation of first-generation CRISPR/Cas9 systems. We also modify our nucleases to either nick the genome (i.e., a nickase that cuts one strand of the DNA) or to simply bind to target sites (i.e., a nuclease dead variant). These capabilities (e.g., searching, cutting, nicking, and binding) can be leveraged as a chassis by adding on additional effector enzymes to create base editors for single nucleotide changes and RNA-mediated integration systems (“RIGS”) for both small and large genomic integrations using “Little RIGS” for prime editing and “Big RIGS” for large integrations. Using modular engineering, we match nickases with deaminases and RTs for base editing and RIGS, respectively. Furthermore, nucleases can be engineered by swapping the search modules of the enzyme to expand the targetability of the chassis, which is critical for site-specific genomic modifications. Given the measured targeting density of our toolbox, we believe that essentially any codon in the human genome could be addressed with our gene editing systems. Our highly active nucleases have gone through extensive preclinical evaluation for both in vivo and ex vivo applications, with demonstration of broad potency of these systems across human primary cells, mouse, and nonhuman primate (“NHP”) models. Our base editors, RIGS, and CAST systems have demonstrated activity across various cell-based models. In addition to evaluating system activity, we have undertaken detailed characterization of guide-specific on- and off-target effects. We routinely identify guides that have no or minimal verifiable off-target editing, thus overcoming another limitation of first-generation CRISPR/Cas9 systems. In addition to overcoming the activity, targetability, and specificity limitations of first-generation systems, our nuclease toolbox was designed to have broad compatibility with viral and nonviral delivery technologies. This compatibility is accomplished by having a variety of nuclease and gRNA structures, which range in terms of their size and biochemistry. For example, small guides for some type V Cas systems streamline manufacturing for delivery by lipid nanoparticle (“LNP”) approaches, and SMART nickases can be used to construct base editors that are small enough to fit within the packaging limitations of adeno-associated viruses (“AAV”). SpCas9, which is currently used in most base editing applications, is roughly three times the size of some of our smallest SMART nickases and cannot be efficiently packaged into a single AAV. Combined, we believe these features will facilitate delivery of our genome editing tools to previously inaccessible tissue types and organ systems. While nucleases, base editors, and prime editors can precisely address a wide variety of genomic modifications required to treat disease, the fact that many diseases are caused by a multitude of mutations across a gene means that a diverse set of editing tools are required to fully address these patient populations. The integration of a complete and functional gene through targeted genome editing may provide a way in which every patient with a given disease could potentially be treated by a single genetic medicine. Big RIGS and CASTs are novel genome editing systems that are under development to achieve what has been a major challenge for the genome editing field—large, targeted genomic integrations. Initial preclinical readouts conducted in mammalian cells indicate that these systems could potentially have a major impact on how diseases caused by loss-of-function mutations, the most common cause of genetic diseases, can be addressed through genome editing. Therapeutic translation roadmap and initial programs We are taking a stepwise approach deploying our genome editing toolbox to develop potentially curative therapies for patients. Our lead programs are selected to both address important diseases and to establish new standards in targetability, precision, efficiency, and scope of editing capabilities. Each of these indications were chosen based on our conviction in the underlying biology, existence of validating preclinical and clinical data, availability of pharmacodynamic and translational tools to assess early proof-of-concept, relevant value supporting outcome measures, and ongoing clinical unmet need. While we do not currently have any approved products and all of our product candidates are preclinical, our lead programs capture an ever-growing set of translational learnings and insights that will inform and accelerate future programs. --- Hemophilia A—novel, durable, knock-in approach for expression of Factor VIII Hemophilia A is the most common X-linked inherited bleeding disorder and is caused by mutations in the Factor VIII (“FVIII”) gene leading to loss of functional FVIII protein that impacts the body’s ability to form normal clots in response to injury. FVIII is normally produced in the liver within sinusoidal endothelial cells and is then secreted into the bloodstream where it acts as a cofactor for the catalytic activation of Factor X in the clotting pathway. The lack of functional FVIII disrupts the normal clotting cascade and predisposes patients to increased risk of bleeding, either spontaneously or in response to injury or surgery. Repeated bleeding episodes in joints or soft tissues can lead to progressive joint damage, inflammation, pain, and mobility impairment. Intracranial bleeding is of greatest concern as this can be rapidly fatal or lead to major morbidity. Rather than provide the FVIII gene in an episomal location, which risks dilution from cell division or cell death as well as episomal transcriptional silencing, our approach is to insert a FVIII DNA cassette into a "safe harbor location," within an intron of the albumin gene that is not expected to have deleterious effects. FVIII expression is then driven by the strong native albumin promoter. This approach has previously been demonstrated in preclinical studies to lead to therapeutically relevant expression of a different clotting factor (Factor IX) with negligible impact to systemic circulating albumin levels. Our FVIII knock-in approach is designed to provide stable expression and clinically relevant circulating levels of FVIII, even at low integration rates because of the strength of the albumin promoter. We have demonstrated the feasibility of the FVIII gene knock-in approach in mice with several mouse specific guides and different FVIII DNA donor cassettes, with integration of the FVIII gene leading to FVIII mRNA expression and therapeutically relevant levels of FVIII protein in the blood. In an ongoing NHP study we demonstrated integration of a surrogate cynomolgus-FVIII cassette (used to avoid immune response that would occur with a foreign human FVIII protein) and observed therapeutically relevant levels of the cyno-FVIII protein encoded by the integrated cassette in all 3 treated animals that has extended for 4.5 months following a single dose of the AAV-cFVIII virus followed five weeks later by a liver trophic LNP encapsulating the mRNA encoding MG29-1 and guide 2 at a dose of 1mg/kg body weight. We intend to continue measuring FVIII levels in these monkeys up to the 12 month time point to generate a robust data set on durability. Evaluation of different human FVIII donor DNA cassettes has been completed in mice resulting in the selection of 2 lead cassettes that will be compared in another NHP study, potentially leading to a development candidate selection anticipated in Q2 2024. In parallel, we are manufacturing mRNA, gRNA, AAV and LNP to support future investigational new drug (“IND”) enabling studies. Primary Hyperoxaluria, Type 1 (“PH1”)—a durable knockdown of HAO1 for substrate reduction therapy PH1 is a rare autosomal recessive metabolic disease arising from loss of function mutations in the alanine-glyoxylate aminotransferase (“AGXT”) gene that encodes alanine glyoxylate aminotransferase. This enzyme is found in peroxisomes of the liver where it catalyzes the conversion of glyoxylate to glycine and pyruvate. Lack of functional AGXT leads to an accumulation of glyoxylate substrate, which is then converted to oxalate and excreted in the kidney. The excess urinary oxalate forms an insoluble complex with urinary calcium that leads to the production of calcium oxalate crystal precipitates. This pathologic process results in the formation of repeated calcium oxalate urolithiasis and nephrolithiasis, which in turn leads to obstructive uropathy, inflammation, fibrosis, tubular toxicity, and progressive loss of kidney function. PH1 is a serious disease that causes kidney failure. More than 70% of individuals with PH1 mutations will develop end-stage renal disease, with a median age in young adulthood. The goal of our genome editing approach is to durably knock down HAO1 resulting in stable and permanent reduction of oxalate levels to effect a lifelong benefit. We have performed nuclease and guide screening to select an optimal nuclease and gRNA combination. Along with our partner ModernaTX, Inc. (“Moderna”), we have achieved preclinical proof-of-concept in an AGXT knock-out mouse which is an accepted disease model of PH1. We are in the final stages of confirming the candidate to take into NHP studies and expect to have NHP data in 2024 to support final development candidate selection. Transthyretin Amyloidosis—a single treatment to knockdown TTR gene expression Transthyretin amyloidosis is a disease of misfolded and aggregated transthyretin (“TTR”) protein that can deposit in tissues causing organ dysfunction, primarily in the heart and/or peripheral nerves. The TTR protein is normally produced in the liver and circulates in a homotetramer (four copies of the same TTR protein bound together) where it serves as a carrier protein for vitamin A and thyroxine. Certain mutations have been identified that can cause TTR homotetramers to fall apart, misfold, and aggregate into insoluble fibrils that deposit in cardiac tissue and peripheral nerves. However, more commonly, the normal aging process is associated with an increased propensity for TTR misfolding and aggregation in the heart without any known genetic sequence variation. These distinctions lead to TTR amyloidosis being characterized as either hereditary transthyretin amyloidosis (“ATTRv”) caused by mutations in TTR, or wild-type ATTR amyloidosis (“ATTRwt”). It is estimated that globally there are approximately 50,000 patients with ATTRv and between 300,000 and 500,000 patients with ATTRwt. Among the larger ATTRwt patient population, the most common presentation is a rapidly progressive, restrictive, and hypertrophic cardiomyopathy due to progressive deposition of insoluble TTR fibrils, which result in thickening of the myocardium and stiffening of the ventricles. These pathologic processes lead to impaired diastolic function and progressive cardiomyopathy that typically leads to progressive heart failure and often death within three to five years from disease onset. Although cardiac manifestations are more common and severe, patients with neurologic manifestations also experience significant morbidity, loss of functionality, and impaired quality of life. Using our novel nucleases, we aim to provide efficient TTR knockdown and halt further deposition of amyloid fibrils. Previous experience suggests a clinical correlation between the degree of TTR knockdown and potential for benefit in familial forms of the disease, which are expected to translate similarly to wild type forms. The high degree of in vivo editing efficiency and specificity of our nuclease platform suggest the potential for a single treatment to knockdown TTR gene expression and remove the requirement for life-long therapy. Along with our partner Ionis Pharmaceuticals, Inc. (“Ionis”), we are currently in advanced stages of nuclease and guide selection, having achieved more than 90% knockdown of human TTR protein after a single dose in a humanized TTR mouse model, and expect to move into NHP studies in 2024. Further areas of therapeutic activity and interest In parallel with our translation efforts in our lead programs using our novel programmable nucleases to knock-in or knockdown gene expression in liver-associated targets, we are developing more complex editing systems for liver associated targets as well as moving beyond the liver. Given that our genome editing toolbox contains small editing systems designed to be amenable to viral vector delivery, and given the progress established in targeting the central nervous system and muscle with established AAV capsids, our first extrahepatic indications will be neurodegenerative and neuromuscular diseases. Building on our experience delivering our nucleases to the liver via LNP systems, we are extending that experience delivering novel RIGS to the liver to potentially correct ATP7B mutations in Wilson’s disease and PiZ mutations in alpha-1-antitrypsin deficiency (“A1AT deficiency”). We are also exploring addressing A1AT deficiency via a base editor approach given the predominant mutation involves a single base pair. Both of these liver diseases have well-defined biology, readily available translational biomarkers for early proof-of-concept, established development pathways based on prior drug approvals, and important unmet medical needs. Building on our experience with our novel type II and type V programmable nucleases, we are extending that experience by working to deliver these nucleases via AAV to the central nervous system to potentially knockdown genetic targets important for both spontaneous and familial amyotrophic lateral sclerosis (SOD1, ATXN2) and Charcot-Marie-Tooth Type 1a (PMP22). In addition, we are working to address a series of mutations common in Duchenne Muscular Dystrophy with our programmable nucleases through exon skipping approaches. In diseases outside of the liver, we intend to initially leverage known biology and clinical validation achieved with RNA-targeted approaches like antisense and small interfering RNA (“siRNA”) to advance more potent and definitive one-time genome editing treatments. Building on our experience with both knock-in gene expression and smaller gene corrections with RIGS, we are progressing our larger RNA- and DNA-mediated integration systems to potentially provide a single curative approach to cystic fibrosis. As opposed to currently-available therapies limited to subsets of patients with individual mutations, we intend to deliver a full copy of a functional cystic fibrosis transmembrane conductance regulator (“CFTR”) gene. This approach can similarly be pursued across many other diseases characterized by loss of function mutations. Our principal executive offices are located 5959 Horton Street, 7th Floor, Emeryville, California.

AI Analysis | Feedback

Metagenomi Therapeutics is like a **CRISPR Therapeutics**, but with a potentially broader and more advanced gene-editing toolkit.

Alternatively, think of them as a **Moderna** for gene editing, building a versatile platform of diverse genetic tools to treat diseases.

AI Analysis | Feedback

  • Novel Gene Editing Systems: Discovery and development of diverse and compact CRISPR-based gene editing technologies for precision genomic modifications.
  • Therapeutic Gene Editing Programs: Application of proprietary gene editing platforms to create *in vivo* and *ex vivo* therapeutic candidates for genetic diseases.

AI Analysis | Feedback

Metagenomi Therapeutics (MGX) Major Customers

Metagenomi Therapeutics (MGX) is a clinical-stage genetic medicines company focused on developing gene editing therapies. Its business model primarily involves leveraging its gene editing platforms and therapeutic candidates through strategic collaborations and licensing agreements with other pharmaceutical and biotechnology companies. Therefore, Metagenomi Therapeutics primarily sells to other companies.

Its major customers and partners include:

  • Moderna, Inc. (Symbol: MRNA) - A strategic research and development collaboration to discover and develop in vivo gene editing therapies.
  • Genentech (a member of the Roche Group, Symbol for Roche Group: RHHBY) - A non-exclusive license agreement for the research, development, and commercialization of in vivo gene editing therapeutics for certain undisclosed targets.

AI Analysis | Feedback

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AI Analysis | Feedback

The management team members of Metagenomi Therapeutics (MGX) include the following individuals:

Jian Irish, PhD, MBA President and Chief Executive Officer

Dr. Jian Irish has over 25 years of leadership experience in biopharma operations, encompassing drug development and commercialization, organization building, and global business operations. She previously served as President and Chief Operating Officer of Metagenomi. Prior to Metagenomi, she held executive leadership roles at Kite Pharma, including Senior Vice President, Global Head of Manufacturing, and Senior Vice President of Supply Chain, where she was involved in launching one of the first approved CAR-T cell therapy products and scaling cell therapy operations. Kite Pharma was later acquired by Gilead Sciences. Dr. Irish also served as Vice President for biologics product development, supply, and partnerships at Sanofi and held executive leadership roles at Amgen for 15 years, contributing to the launch of numerous innovative medicines.

Pamela Wapnick, MBA Chief Financial Officer

Pamela Wapnick brings over 20 years of diversified financial leadership experience, with roles in strategic and operational finance. Before joining Metagenomi, she was Chief Financial Officer at several biotech and medical technology companies, including Diality, Capsida Biotherapeutics, and Graybug Vision, where she developed finance functions and managed financial planning and strategy. As CFO at True North Therapeutics, she oversaw preparations for an initial public offering before the company's acquisition by Bioverativ. Her experience also includes executive leadership positions at Amgen, where she served as Corporate Treasurer and Vice President R&D Finance.

Matthew Wein, JD General Counsel, Compliance Officer and Corporate Secretary

Alan Brooks, PhD SVP, Research

Katalin Kauser, PhD, MD, Sc.D. SVP, Translational Biology

AI Analysis | Feedback

The key risks to Metagenomi Therapeutics (MGX) include:

  1. Scientific, Regulatory, and Clinical Development Risk: As an early-stage genetic medicines company, Metagenomi Therapeutics faces significant challenges in advancing its preclinical projects, such as MGX-001 for hemophilia A, through the necessary studies and regulatory hurdles. There is a substantial risk that these product candidates may not achieve positive results in studies, gain the required regulatory approvals (e.g., Investigational New Drug (IND) or Clinical Trial Applications (CTA) submissions and subsequent FDA approval), or demonstrate the desired safety and efficacy in clinical trials. The process of drug development is lengthy, expensive, and has a high failure rate, particularly for novel genome editing technologies.
  2. Cash Burn and Financing Risk: Metagenomi Therapeutics has a history of negative free cash flow and high research and development expenditures, resulting in persistent operating losses. While the company has implemented strategic pipeline prioritization and workforce reductions to extend its cash runway, there remains a risk of needing to raise substantial additional capital in the future. Such financing, if required, could lead to dilution for existing shareholders, especially if key milestones or new collaboration agreements are not secured. The company's financial health indicators, including negative operating and net margins and an Altman Z-Score in the distress zone, underscore these financial challenges.
  3. Competitive Landscape and Intellectual Property Challenges: The genome editing sector is highly competitive and rapidly evolving, with several larger, well-funded companies already possessing approved or advanced clinical-stage assets. Metagenomi Therapeutics competes with companies such as CRISPR Therapeutics, Intellia Therapeutics, and Editas Medicine, which could have advantages in market penetration, partnerships, and R&D spending. Furthermore, the broader CRISPR gene-editing field is subject to ongoing legal disputes over patents and potential safety concerns regarding off-target edits, which could impact all participants in the industry, including Metagenomi Therapeutics.

AI Analysis | Feedback

The emergence and maturation of alternative gene editing technologies, such as base editing and prime editing, which offer enhanced precision, safety, or versatility over traditional CRISPR-Cas systems. If these technologies demonstrate superior therapeutic profiles or expand the range of addressable diseases more effectively, they could diminish the competitive advantage of Metagenomi's compact Cas systems.

Simultaneously, significant advancements in *in vivo* delivery methods, including improved adeno-associated virus (AAV) vectors with larger packaging capacities or novel non-viral delivery systems (e.g., advanced lipid nanoparticles), could allow competing gene editing platforms to effectively deliver their larger or more complex components to target tissues. This would erode Metagenomi's key differentiator based on the compactness of its proprietary gene editing systems for AAV delivery.

AI Analysis | Feedback

Metagenomi Therapeutics (MGX) is developing gene-editing therapies for several key indications, with varying addressable market sizes:

Hemophilia A (MGX-001)

The global addressable market for Hemophilia A treatments is substantial and projected to grow. Estimates indicate the global market size was valued at approximately USD 12.8 billion in 2021 and is projected to reach USD 26.9 billion by 2031, with a compound annual growth rate (CAGR) of 7.5% from 2022 to 2031. Another projection shows the global Hemophilia A treatment market size is expected to reach USD 19.86 billion by 2034. Within the 7 Major Markets (7MM), the Hemophilia A market size was USD 12,918 million in 2025 and is projected to reach USD 16,756 million by 2034. North America is a dominant region in this market, holding approximately 50% of the market share in 2024.

Secreted Protein Disorders

Metagenomi's approach for other secreted protein disorders leverages its MGX-001 gene-editing platform. While a specific market size for "secreted protein disorders" is not readily available, the broader "Protein Therapeutics Market" serves as a relevant proxy. The global protein therapeutics market size was estimated at USD 375.26 billion in 2024 and is predicted to increase to approximately USD 741.16 billion by 2034, expanding at a CAGR of 7.04% from 2025 to 2034. Another report indicates a market size of USD 367.0 billion in 2024, projected to reach USD 617.5 billion by 2033, at a CAGR of 6% during 2025-2033. North America holds a significant share, accounting for over 45% of the protein therapeutics market in 2024.

Cardiometabolic Indications

Metagenomi is collaborating with Ionis Pharmaceuticals on cardiometabolic indications, including targets like APOC3. The overall cardiometabolic medicine market is a very large addressable market, with Morgan Stanley projecting it to reach USD 150 billion globally by 2035. For gene therapy specifically within this and other therapeutic areas, the global gene therapy market size was valued at USD 11.07 billion in 2025 and is predicted to reach approximately USD 55.43 billion by 2034, with a CAGR of 19.60% between 2025 and 2034. North America accounted for approximately 54% of the gene therapy market share in 2024.

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Metagenomi Therapeutics (NASDAQ: MGX) anticipates future revenue growth over the next 2-3 years to be driven primarily by the advancement of its gene-editing pipeline and strategic collaborations. While the company is currently in early-stage development and analysts project a decline in revenue for the near term, the following represent key potential drivers for future growth:

  1. Advancement of MGX-001 for Hemophilia A: As Metagenomi's lead wholly-owned program, the progression of MGX-001 for Hemophilia A is a critical future revenue driver. The company expects to submit an Investigational New Drug (IND) or Clinical Trial Application (CTA) in the fourth quarter of 2026 and initiate first-in-human studies in 2027. Successful clinical development and eventual commercialization of this potentially curative, one-time treatment could generate substantial revenue.
  2. Expansion into Other Secreted Protein Deficiencies: Metagenomi is leveraging the MGX-001 gene integration system to develop therapies for other secreted protein disorders. The company demonstrated in vivo proof-of-concept in non-human primates for Antithrombin Deficiency in 2025 and plans to nominate a development candidate for its lead secreted protein deficiency target in 2026. This strategic expansion of its proprietary technology could open up new therapeutic areas and revenue streams.
  3. Collaboration with Ionis Pharmaceuticals for Cardiometabolic Indications: The partnership with Ionis Pharmaceuticals targets significant cardiometabolic diseases. Metagenomi anticipates nominating one to two development candidates from the Wave 1 Ionis collaboration programs in 2025 and initiating IND-enabling activities for these candidates in 2026. This collaboration is expected to contribute to revenue through milestone payments as programs advance towards clinical development.
  4. Leveraging Proprietary Gene-Editing Platform for New Discoveries and Partnerships: Metagenomi's core strength lies in its AI-powered metagenomics platform, which is used to discover novel CRISPR tools and base editors. This broad and proprietary genetic editing toolbox enables the company to identify and develop new therapeutic targets. Future revenue growth could be fueled by new collaborations, licensing agreements, and the expansion into additional therapeutic indications as a result of its platform's capabilities.

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Share Repurchases

  • Metagenomi's annual shares outstanding decreased from 37.53 million in December 2023 to 37.42 million in December 2024, indicating share repurchases during this period.

Share Issuance

  • The company completed its Initial Public Offering (IPO) in February 2024, issuing 6,250,000 shares of common stock at $15.00 per share, resulting in gross proceeds of $93,750,000.
  • Metagenomi granted underwriters a 30-day option to purchase an additional 937,500 shares of common stock at the IPO price.
  • The number of quarterly shares outstanding increased from 37.53 million in June 2025 to 37.55 million in September 2025, indicating new share issuances.

Inbound Investments

  • Metagenomi has raised a total of $376 million across six funding rounds, including a $100 million Series B round in December 2022.
  • The company has formed strategic collaborations to advance its programs, including a partnership with Ionis Pharmaceuticals for cardiometabolic indications.
  • A collaboration and license agreement with Moderna, initiated in October 2021, was terminated in May 2024.

Outbound Investments

  • Metagenomi has not made any reported investments or acquisitions.

Latest Trefis Analyses

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Select ideas related to MGX.

Unique KeyDateTickerCompanyCategoryTrade Strategy6M Fwd Rtn12M Fwd Rtn12M Max DD
QDEL_2282026_Insider_Buying_45D_2Buy_200K02282026QDELQuidelOrthoInsiderInsider Buys 45DStrong Insider Buying
Companies with multiple insider buys in the last 45 days
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CHE_2272026_Dip_Buyer_FCFYield02272026CHEChemedDip BuyDB | FCFY OPMDip Buy with High FCF Yield and High Margin
Buying dips for companies with high FCF yield and meaningfully high operating margin
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Large cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple
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3.5%3.5%0.0%
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Buying dips for companies with tame PE and meaningfully high operating margin
7.1%7.1%-3.0%

Recent Active Movers

Peer Comparisons

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Financials

MGXVRTXAKTSALPSDCOYDFTXMedian
NameMetageno.Vertex P.Aktis On.ALPS Decoy Th.Definium. 
Mkt Price1.52496.8320.130.960.6817.459.48
Mkt Cap0.1126.0----63.0
Rev LTM3112,001--0015
Op Inc LTM-924,554---6-104-49
FCF LTM-923,194---5-79-42
FCF 3Y Avg-721,832---12-65-38
CFO LTM-923,631---5-79-42
CFO 3Y Avg-662,225---12-65-38

Growth & Margins

MGXVRTXAKTSALPSDCOYDFTXMedian
NameMetageno.Vertex P.Aktis On.ALPS Decoy Th.Definium. 
Rev Chg LTM-43.9%8.9%-----17.5%
Rev Chg 3Y Avg-10.4%----10.4%
Rev Chg Q-24.8%9.5%-----7.6%
QoQ Delta Rev Chg LTM-8.5%2.4%-----3.0%
Op Mgn LTM-298.5%37.9%-----130.3%
Op Mgn 3Y Avg-218.1%24.7%-----96.7%
QoQ Delta Op Mgn LTM-26.6%38.7%----6.1%
CFO/Rev LTM-296.4%30.3%-----133.1%
CFO/Rev 3Y Avg-164.1%20.5%-----71.8%
FCF/Rev LTM-299.0%26.6%-----136.2%
FCF/Rev 3Y Avg-177.9%17.0%-----80.4%

Valuation

MGXVRTXAKTSALPSDCOYDFTXMedian
NameMetageno.Vertex P.Aktis On.ALPS Decoy Th.Definium. 
Mkt Cap0.1126.0----63.0
P/S1.810.5----6.2
P/EBIT-0.627.1----13.2
P/E-0.631.9----15.6
P/CFO-0.634.7----17.0
Total Yield-156.3%3.1%-----76.6%
Dividend Yield0.0%0.0%----0.0%
FCF Yield 3Y Avg-1.7%----1.7%
D/E0.70.0----0.4
Net D/E-2.5-0.0-----1.3

Returns

MGXVRTXAKTSALPSDCOYDFTXMedian
NameMetageno.Vertex P.Aktis On.ALPS Decoy Th.Definium. 
1M Rtn-1.3%5.7%-0.6%-1.0%-11.7%3.4%-0.8%
3M Rtn-13.1%14.6%∞%-37.7%-16.9%15.9%-13.1%
6M Rtn-12.6%27.1%∞%1.1%-16.9%15.9%1.1%
12M Rtn-25.9%3.6%167,650.0%1.1%-16.9%15.9%2.3%
3Y Rtn-85.3%70.9%478.4%1.1%-16.9%15.9%8.5%
1M Excs Rtn-3.6%5.4%-0.4%1.4%-19.7%5.0%0.5%
3M Excs Rtn-10.7%13.9%∞%-26.1%-18.6%14.3%-10.7%
6M Excs Rtn-24.4%21.6%∞%-5.0%-23.1%9.8%-5.0%
12M Excs Rtn-45.4%-11.8%129,755.5%-14.4%-32.4%0.5%-13.1%
3Y Excs Rtn-157.6%-3.6%383.7%-71.3%-89.3%-56.4%-63.8%

Comparison Analyses

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Financials

Segment Financials

Revenue by Segment
$ Mil20242023
Business of developing curative therapeutics for patients using the Company’s proprietary45 
Affini-T Therapeutics, Inc. (Affini-T) 0
Ionis Pharmaceuticals, Inc. (Ionis) 0
ModernaTX, Inc. (Moderna) 0
Total450


Operating Income by Segment
$ Mil20242023
Business of developing curative therapeutics for patients using the Company’s proprietary-78 
Total-78 


Net Income by Segment
$ Mil20242023
Business of developing curative therapeutics for patients using the Company’s proprietary-68 
Total-68 


Price Behavior

Price Behavior
Market Price$1.52 
Market Cap ($ Bil)0.1 
First Trading Date02/09/2024 
Distance from 52W High-54.6% 
   50 Days200 Days
DMA Price$1.61$1.92
DMA Trendindeterminatedown
Distance from DMA-5.9%-21.0%
 3M1YR
Volatility58.8%79.9%
Downside Capture325.61208.45
Upside Capture229.34146.19
Correlation (SPY)48.4%25.2%
MGX Betas & Captures as of 2/28/2026

 1M2M3M6M1Y3Y
Beta3.132.442.792.321.05-0.18
Up Beta5.214.904.553.890.93-0.09
Down Beta2.711.361.752.930.320.72
Up Capture266%208%254%130%170%10%
Bmk +ve Days9203170142431
Stock +ve Days8172554113218
Down Capture260%233%278%169%144%106%
Bmk -ve Days12213054109320
Stock -ve Days11223465129277

[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with MGX
MGX-33.4%80.1%-0.17-
Sector ETF (XLV)9.9%17.4%0.3818.2%
Equity (SPY)16.5%19.4%0.6626.0%
Gold (GLD)81.3%25.7%2.296.7%
Commodities (DBC)13.4%16.9%0.584.1%
Real Estate (VNQ)7.3%16.6%0.2517.0%
Bitcoin (BTCUSD)-22.0%44.9%-0.4227.6%

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Based On 5-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with MGX
MGX-42.7%83.0%-1.29-
Sector ETF (XLV)8.7%14.5%0.4117.4%
Equity (SPY)13.6%17.0%0.6322.7%
Gold (GLD)23.5%17.1%1.128.3%
Commodities (DBC)10.6%19.0%0.440.4%
Real Estate (VNQ)5.1%18.8%0.1813.7%
Bitcoin (BTCUSD)4.0%57.0%0.2914.4%

Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
Annualized
Return
Annualized
Volatility
Sharpe
Ratio
Correlation
with MGX
MGX-24.3%83.0%-1.29-
Sector ETF (XLV)11.1%16.5%0.5617.4%
Equity (SPY)15.4%17.9%0.7422.7%
Gold (GLD)15.3%15.6%0.828.3%
Commodities (DBC)8.7%17.6%0.410.4%
Real Estate (VNQ)6.6%20.7%0.2813.7%
Bitcoin (BTCUSD)65.8%66.8%1.0514.4%

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Short Interest

Short Interest: As Of Date2132026
Short Interest: Shares Quantity2.0 Mil
Short Interest: % Change Since 1312026-18.2%
Average Daily Volume0.3 Mil
Days-to-Cover Short Interest6.4 days
Basic Shares Quantity37.3 Mil
Short % of Basic Shares5.3%

Earnings Returns History

Expand for More
 Forward Returns
Earnings Date1D Returns5D Returns21D Returns
11/12/2025-15.5%-22.7%-25.0%
8/12/20253.2%-2.7%0.5%
3/17/2025-8.0%-12.2%-16.5%
11/13/2024-10.9%-21.8%53.6%
8/14/2024-4.6%1.5%-17.2%
3/27/2024-2.0%-7.3%-40.5%
SUMMARY STATS   
# Positive112
# Negative554
Median Positive3.2%1.5%27.0%
Median Negative-8.0%-12.2%-21.1%
Max Positive3.2%1.5%53.6%
Max Negative-15.5%-22.7%-40.5%

SEC Filings

Expand for More
Report DateFiling DateFiling
09/30/202511/12/202510-Q
06/30/202508/12/202510-Q
03/31/202505/13/202510-Q
12/31/202403/17/202510-K
09/30/202411/13/202410-Q
06/30/202408/14/202410-Q
03/31/202405/14/202410-Q
12/31/202303/27/202410-K
09/30/202302/12/2024424B4
06/30/202309/07/2023DRS/A

Insider Activity

Expand for More
#OwnerTitleHoldingActionFiling DatePriceSharesTransacted
Value
Value of
Held Shares
Form
1Thomas, Brian C DirectSell120820251.773,8306,7864,449,170Form
2Wein, MatthewSee RemarksDirectSell120820251.77199353203,823Form
3Wapnick, PamelaChief Financial OfficerDirectSell120820251.771,5762,793334,811Form
4Irish, JianChief Executive OfficerDirectSell120820251.771,6022,839999,066Form
5Thomas, Brian C DirectSell120120251.812,7014,8894,551,770Form