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BOSTON, United States and ROLLE, Switzerland, July 21, 2026 — SOPHiA GENETICS (Nasdaq: SOPH), a global leader in Ai-driven precision medicine, today announced it will release its financial results for the second quarter 2026 before U.S. markets open on Tuesday, August 4, 2026. On that day, SOPHiA GENETICS will host a conference call to discuss its financial results as well as business outlook beginning at 8:00 a.m. (08:00) EDT / 2:00 p.m. (14:00) CET.
The call will be webcast live on the SOPHiA GENETICS Investor Relations Website. Additionally, a replay will be available on the website after its completion.
Classification guidelines for myeloid malignancies have undergone more changes in the last three years than in the previous decade. The 2022 WHO and International Consensus Classification updates went beyond adjusting diagnostic thresholds, they fundamentally redefined what constitutes a complete genomic profile, expanding the alterations that need to be detected, the variant types that need to be investigated, and the findings that have direct relevance to treatment decisions and patient monitoring.
For many laboratories, keeping pace with these changes has required the adoption of broad-coverage NGS applications. At Unidade Funcional de Hematologia Molecular, Unidade Local de Saúde de Coimbra, one of Portugal's national reference centers for hemato-oncology, Dr. Margarida Coucelo has led that transition, investigating myeloid malignancies across the full disease spectrum, from chronic conditions such as myeloproliferative neoplasms (MPN) and myelodysplastic syndromes (MDS) through to acute leukemias. That breadth of caseload, combined with the center's role as a referral hub receiving samples from institutions across the country, means that the quality and completeness of every genomic
report carry significant value for clinical teams.
In this webinar, Dr. Coucelo will share that experience through real cases, illustrating how a comprehensive DNA-based NGS approach can contribute to the identification of relevant variants and support discussions around treatment options and risk stratification. Cases will span a range of scenarios, from the detection of rare fusion genes and somatic variants to consolidating germline predisposition testing within a single workflow, to building a more complete picture to guide more robust clinical decisions.
This webinar offers an opportunity to explore how expanded NGS workflows are being applied in a high-volume reference setting, and what that experience may mean for laboratories navigating the evolving landscape of myeloid malignancy testing.
What began at our inaugural forum in 2024 has since taken shape across the field. SOPHiA GENETICS and the Memorial Sloan Kettering Cancer Center (MSK) return to ASCO to convene leading voices in precision oncology, this time with a singular focus: the liquid biopsy revolution.
This forum traces the journey from a pioneering academic-industry collaboration with MSK to a global movement reshaping how cancer is detected, monitored, and treated.
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Speakers:
Speaker: Dr. rer. nat. Tobias Bethge, Genetica AG, Zurich, Switzerland
About this webinar
Variants of uncertain significance (VUS) remain one of the most persistent bottlenecks in hereditary cancer testing - particularly those located near splice sites, in non-coding regions, or affecting copy number. In this talk, Tobias Bethge shares how Genetica AG, a genetic counseling and diagnostics laboratory in Zurich, has incorporated targeted RNA sequencing alongside DNA-based testing to functionally resolve such variants.
Tobias opens with the practical groundwork: how RNA-seq can functionally interrogate variants predicted to affect splicing, how it can indirectly flag deep intronic, regulatory, and structural events that DNA sequencing alone may miss, and the real constraints labs face - from limited gene expression in accessible tissues, to the sampling and library preparation decisions that shape data quality. He then introduces a targeted capture-panel approach developed in collaboration with SOPHiA GENETICS, built around an 18-gene RNA panel spanning the lab's broader 83-gene hereditary cancer panel, designed to enrich relevant transcripts while reducing background and sequencing cost.
The talk is grounded in four real test cases from Genetica's cohort. A BRCA2 missense variant at the edge of an exon boundary is shown to cause exon skipping in roughly half of transcripts - supporting a pathogenic classification. Two non-coding BRCA1 variants near exon 1 illustrate how seemingly similar splice-site predictions can resolve very differently: one shown to be a benign splicing polymorphism also present in controls, the other showing partial allelic loss consistent with a likely pathogenic, possibly hypomorphic effect - a distinction made possible by tracking heterozygous SNPs across DNA and RNA. A final case demonstrates how RNA-seq can confirm that a PALB2 exon 11 duplication detected by CNV analysis and MLPA sits in tandem and disrupts the reading frame, supporting a pathogenic call.
You will learn:
SOPHiA DDM™ applications and Alamut™ Visual Plus are For Research Use Only unless otherwise specified. The RNA-seq capture panel solution discussed is part of an ongoing research collaboration and is not yet commercially available. The opinions expressed are those of the speaker and may not represent the opinions of SOPHiA GENETICS.
Speaker: Gorka Alkorta-Aranburu, PhD, CIMA LAB Diagnostics, Clínica Universidad de Navarra, Pamplona, Spain
About this webinar
Targeted gene panels remain efficient and affordable, but they carry known blind spots: deep intronic variants, complex structural rearrangements, and non-coding regulatory elements that fall outside their design. In this talk, Gorka Alkorta-Aranburu shares CIMA LAB Diagnostics' early experience moving from targeted panel testing toward whole genome sequencing (WGS), as part of an Early Access Program (EAP) with SOPHiA GENETICS, and the operational and analytical questions that came with it.
Gorka walks through the practical barriers labs face when considering WGS - data volume, compute demands, multi-variant-type detection, and the challenge of finding clinically relevant variants among millions of calls - and how a structured, four-phase EAP (platform familiarization, data quality assessment, singleton validation, and family trio analysis) helped his team evaluate whether SOPHiA DDM™ for WGS could meet the standards required for routine use.
The talk is grounded in real validation data and test cases from CIMA LAB's cohort. Raw data quality assessment across blood and saliva-derived samples revealed how DNA source materially affects coverage, including the impact of microbial DNA content in saliva samples on overall human coverage. Known variant call concordance testing showed high accuracy across SNVs, indels, and structural variants. Three singleton cases then illustrate where WGS closed gaps left by panel and exome testing: a compound heterozygous GJB2/GJB6 hearing loss case combining a point mutation with a regulatory deletion missed by exome sequencing; a pathogenic mitochondrial variant resolved with precision despite the risk of NUMT-related false positives; and a single-exon BRCA1 deletion resolved at nucleotide-level resolution where an exome panel could not separate signal from noise. Finally, Gorka presents early results from applying SOPHiA DDM™ familial variant analysis to 11 previously untested WGS trios, with high parental concordance rates supporting its use in variant prioritization.
You will learn:
SOPHiA DDM™ applications are For Research Use Only unless otherwise specified. The opinions expressed are those of the speaker and may not represent the opinions of SOPHiA GENETICS.
Speaker: Minna Paavola, Ph.D., Clinical Laboratory Geneticist, Turku University Hospital, Turku, Finland
About this webinar
Whole exome sequencing (WES) presents distinct challenges depending on where in the clinical spectrum it's applied - from fetal phenotypes with limited available data, to longstanding unresolved cases in adults. In this talk presented at ESHG 2026, Minna Paavola shares how the germline rare disease team at Turku University Hospital has built a scalable, consistent WES workflow that spans both ends of that spectrum.
Minna will walk through the lab's end-to-end process - from library preparation using the SOPHiA DDM™ Whole Exome Solution through analysis and variant classification in SOPHiA DDM™, with Alamut™ Visual Plus supporting interpretation - and explain the team's approach to filtering, prioritization, and variant flagging across referral types. The talk also draws on two research cases from the lab's practice: a prenatal trio in which compound heterozygous variants in the GLE1 gene - one a Finnish founder variant for Herva disease - were identified in a fetus presenting with severe fetal akinesia; and an adult solo case resolved after decades, in which biallelic MRE11 variants explained a complex neurological phenotype initially complicated by childhood cerebral palsy. Both cases illustrate how careful attention to population-specific allele frequencies, inheritance patterns, and HPO-guided filtering can surface clinically significant findings that initial automated classification may underweight.
Minna will also discuss the Finnish Disease Heritage - a group of approximately 40 rare monogenic disorders at elevated frequency in Finland due to historical population bottlenecks - and how awareness of founder variants shapes the team's analytical approach.
You will learn:
SOPHiA DDM™ Exome applications and Alamut™ Visual Plus are For Research Use Only. The opinions expressed are those of the speaker and may not represent the opinions of SOPHiA GENETICS.
SOPHiA GENETICS and Memorial Sloan Kettering Cancer Center Aim to Establish Precision Medicine Hub for the Next Generation of Precision Oncology
NEW YORK – June 4, 2026 – SOPHiA GENETICS (NASDAQ: SOPH) today announced that the company has signed a Memorandum of Understanding (MOU) with Memorial Sloan Kettering Cancer Center (MSK) relating to the formation of a joint venture between the two institutions. The joint venture aims to build upon the strength of MSK innovation in clinical diagnostics and SOPHiA GENETICS’s Ai platform to potentially discover, develop, and deploy a new generation of precision oncology to patients around the world.
SOPHiA GENETICS and MSK bring unique strengths to the collaboration. SOPHiA DDM™, SOPHiA GENETICS's precision medicine platform, has been used to analyze more than 2.5 million cases since 2014, pioneering a unique, decentralized approach to precision oncology. MSK's in-house NGS program has sequenced more than 150,000 tumor samples since 2014, creating an extensive genomic dataset linked to clinical outcomes, pathology, and radiology records.
The MOU envisions a precision medicine hub that would combine MSK's clinical data and expertise with SOPHiA GENETICS’s Ai platform to unlock a new approach to multimodal precision oncology.
For patients, the proposed precision medicine hub will act as an incubation studio for the discoveries of tomorrow, equipped with a deployment platform to quickly deliver new capabilities to patients worldwide. The hub could move new discoveries from bench to clinical care faster than traditional models, expanding access to MSK’s oncology intelligence for patients across the globe.
For biopharma partners, the hub could provide dedicated infrastructure for next-generation companion diagnostics, clinical algorithm development, and evidence generation.
The two institutions have a history of successful collaboration. Through previous license agreements involving MSK assays such as MSK-IMPACT® and MSK-ACCESS®, SOPHiA GENETICS has brought MSK diagnostics innovation to hospitals, labs, and patients in 35 countries across the globe using its platform SOPHiA DDMTM.
Although the specifics of this strategic initiative have yet to be finalized, it is envisioned that SOPHiA DDM™ would serve as the Ai and analytics platform of the precision medicine hub, supporting its data, Ai, and bioinformatics needs. MSK would contribute its clinical and scientific leadership, including support from its oncology faculty and exceptional ability to generate high-quality clinical data.
SOPHiA GENETICS’s announcement of this Memorandum of Understanding comes at a pivotal moment in oncology, as interest in Ai-enabled precision medicine continues to grow. New targeted cancer therapies are pushing molecular diagnostics earlier in the treatment pathway, creating demand for new diagnostic capabilities and scalable testing platforms. At the same time, Ai is emerging as a critical tool for clinical decision-making, making the combination of clinical data and Ai infrastructure one of the field's most strategic capabilities.
Ross Muken, President, SOPHiA GENETICS, said: "Our work with MSK has always been about extending the reach of MSK’s clinical intelligence, and this joint venture is the most ambitious expression of that mission yet. Over the past several years, we’ve built SOPHiA DDM™ into a foundational Ai and analytics layer for precision medicine, helping institutions across the world unlock the value of their clinical data. By combining MSK's clinical leadership and deep clinical data with SOPHiA GENETICS's Ai platform and global infrastructure, the precision medicine hub that we are discussing will help move precision oncology into the multimodal era and bring the benefits of MSK’s precision oncology to patients regardless of where they're treated.”
Michael G. Frank, Director of Digital Health Business Development at MSK, said: "This collaboration represents the future of applied precision oncology – where clinical expertise meets cutting-edge Ai and robotics with the potential to transform cancer care at scale. By combining MSK's deep clinical assets with SOPHiA GENETICS's powerful digital platform, we're seeking to create a new paradigm to deliver personalized insights to patients.”
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About SOPHiA GENETICS
SOPHiA GENETICS (Nasdaq: SOPH) is an Ai-native healthcare technology company on a mission to transform care by expanding access to data-driven medicine globally. It is the creator of SOPHiA DDM™, an Ai platform that analyzes complex genomic and multimodal data to generate real-time, real-world insights for a broad global network of hospital, laboratory, and biopharma institutions. For more information, visit SOPHiAGENETICS.COM and connect with us on LinkedIn.
SOPHiA GENETICS products are for Research Use Only and not for use in diagnostic procedures unless specified otherwise. The information in this press release is about products that may or may not be available in different countries and, if applicable, may or may not have received approval or market clearance by a governmental regulatory body for different indications for use. Please contact [email protected] to obtain the appropriate product information for your country of residence.
SOPHiA GENETICS Forward-Looking Statements:
This press release contains statements that constitute forward-looking statements. All statements other than statements of historical facts contained in this press release, including statements regarding our future results of operations and financial position, business strategy, products, and technology, as well as plans and objectives of management for future operations, are forward-looking statements. Forward-looking statements are based on our management’s beliefs and assumptions and on information currently available to our management. Such statements are subject to risks and uncertainties, and actual results may differ materially from those expressed or implied in the forward-looking statements due to various factors, including those described in our filings with the U.S. Securities and Exchange Commission. No assurance can be given that such future results will be achieved. Such forward-looking statements contained in this press release speak only as of the date hereof. We expressly disclaim any obligation or undertaking to update these forward-looking statements contained in this press release to reflect any change in our expectations or any change in events, conditions, or circumstances on which such statements are based, unless required to do so by applicable law. No representations or warranties (expressed or implied) are made about the accuracy of any such forward-looking statements.
Media Contact:
Are you getting everything Alamut Visual Plus has to offer? Watch our webinar that takes a comprehensive look at Alamut Visual Plus, the variant interpretation platform built around ACMG/AMP guidelines and trusted by clinical and research genomics teams worldwide. Whether you are already using AVP day-to-day or exploring it for the first time, this session is designed to show you what best-in-class variant interpretation looks like in practice.
We will walk through the full capabilities of the platform and introduce the most exciting additions in the v2.1 release, including enhanced Sanger visualization that brings confirmatory sequencing data seamlessly into your interpretation workflow, and newly integrated ClinGen framework support for evidence-based oncogenicity classification alongside established germline guidelines.
This is a session built for scientists and clinicians who want to interpret variants faster, more consistently, and with greater confidence.
Register now to watch on demand.
This webinar is presented in Spanish.
Alamut™ Visual Plus empowers clinical genomics teams with the tools needed to interpret genetic variants with speed and confidence. This webinar, hosted for the Spanish user community by David Munoz, Alamut™ Visual Plus Expert at SOPHiA GENETICS, demonstrates how Alamut™ Visual Plus v2.0 accelerates variant workflows from enhanced navigation and splicing prediction to visualization of bioinformatics files and customizable reporting.
BOSTON, United States and ROLLE, Switzerland, May 5, 2026 — SOPHiA GENETICS (Nasdaq: SOPH), a global leader in Ai-driven precision medicine, today reported financial results for the first quarter ended March 31, 2026.
First Quarter 2026 Financial Results
"We started 2026 strong, delivering 22% year-over-year revenue growth and a record 108,000 genomic analyses on SOPHiA DDMTM,” said Jurgi Camblong, PhD., Chief Executive Officer and Co-Founder of SOPHiA GENETICS. “Demand for our platform continues to grow, as U.S. hospitals and laboratories increasingly look to launch Ai-powered precision medicine capabilities, and customers across the globe continue to show strong interest in new applications such as Liquid Biopsy and Enhanced Exomes.”
Camblong added, “Looking ahead, new business momentum remains strong. Exciting new applications, continued U.S. expansion, and rising interest from BioPharma provide major catalysts for future growth. Accelerating growth, in combination with our strong gross margin performance and persistent focus on operational excellence, position us well to deliver meaningful operating leverage as the year progresses.”
Business Highlights
Expanding with existing customers
Landing new customers to fuel future growth
Accelerating growth in the U.S. market
Scaling growth with new applications
Building BioPharma partnerships
Driving operational excellence
2026 Financial Outlook
Based on information as of today, SOPHiA GENETICS is reaffirming the following guidance:
Earnings Call and Webcast Information
SOPHiA GENETICS will host a conference call and live webcast to discuss the first quarter 2026 results on Tuesday, May 5, 2026, at 8:00 a.m. (08:00) Eastern Time / 2:00 p.m. (14:00) Central European Time. The call will be webcast live on the SOPHiA GENETICS Investor Relations website, ir.sophiagenetics.com. Additionally, an audio replay of the conference call will be available on the SOPHiA GENETICS website after its completion.
Non-IFRS Financial Measures
Other than with respect to revenue, the Company only provides guidance on a non-IFRS basis. The Company does not provide a reconciliation of forward-looking adjusted gross margin (non-IFRS measure) to gross margin (the most comparable IFRS financial measure), due to the inherent difficulty in forecasting and quantifying amortization of capitalized research & development expenses that are necessary for such reconciliation. In addition, the Company does not provide a reconciliation of forward-looking adjusted EBITDA (non-IFRS measure) to loss for the period (the most comparable IFRS financial measure), due to the inherent difficulty in forecasting and quantifying depreciation expense, amortization of capitalized research & development expenses and intangible assets, interest income, interest expense, fair value adjustments on warrants, income taxes, foreign exchange gains or losses, share-based compensation expenses, social charges on share-based compensation, the non-cash portion of pensions paid in excess of actual contributions, certain transaction costs and litigation expenses that are necessary for such reconciliation.
To provide investors with additional information regarding the company’s financial results, SOPHiA GENETICS has disclosed here and elsewhere in this earnings release the following non-IFRS measures:
These non-IFRS measures are key measures used by SOPHiA GENETICS management and board of directors to evaluate its operating performance and generate future operating plans. The exclusion of certain expenses facilitates operating performance comparability across reporting periods by removing the effect of non-cash expenses and certain variable charges. Accordingly, the company believes that these non-IFRS measures provide useful information to investors and others in understanding and evaluating its operating results in the same manner as its management and board of directors.
These non-IFRS measures have limitations as financial measures, and you should not consider them in isolation or as a substitute for analysis of SOPHiA GENETICS’ results as reported under IFRS. Some of these limitations are:
Because of these limitations, you should consider these non-IFRS measures alongside other financial performance measures, including various cash flow metrics, net income and other IFRS results.
The tables below provide the reconciliation of the most comparable IFRS measures to the non-IFRS measures for the periods presented.
Presentation of Constant Currency Revenue
SOPHiA GENETICS operates internationally, and its revenues are generated primarily in the U.S. dollar, the euro and Swiss franc and, to a lesser extent, British pound, Australian dollar, Brazilian real, Turkish lira and Canadian dollar depending on the company’s customers’ geographic locations. Changes in revenue include the impact of changes in foreign currency exchange rates. We present the non-IFRS financial measure “constant currency revenue” (or similar terms such as constant currency revenue growth) to show changes in revenue without giving effect to period-to-period currency fluctuations. Under IFRS, revenues received in local (non-U.S. dollar) currencies are translated into U.S. dollars at the average monthly exchange rate for the month in which the transaction occurred. When the company uses the term “constant currency”, it means that it has translated local currency revenues for the current reporting period into U.S. dollars using the same average foreign currency exchange rates for the conversion of revenues into U.S. dollars that we used to translate local currency revenues for the comparable reporting period of the prior year. The company then calculates the difference between the IFRS revenue and the constant currency revenue to yield the “constant currency impact” for the current period.
The company’s management and board of directors use constant currency revenue growth to evaluate growth and generate future operating plans. The exclusion of the impact of exchange rate fluctuations provides comparability across reporting periods and reflects the effects of customer acquisition efforts and land-and-expand strategy. Accordingly, it believes that this non-IFRS measure provides useful information to investors and others in understanding and evaluating revenue growth in the same manner as the management and board of directors. However, this non-IFRS measure has limitations, particularly as the exchange rate effects that are eliminated could constitute a significant element of its revenue and could significantly impact performance and prospects. Because of these limitations, you should consider this non-IFRS measure alongside other financial performance measures, including revenue and revenue growth presented in accordance with IFRS and other IFRS results.
The table below provides the reconciliation of the most comparable IFRS growth measures to the non-IFRS growth measures for the current period.
About SOPHiA GENETICS
SOPHiA GENETICS (Nasdaq: SOPH) is an Ai-native healthcare technology company on a mission to transform patient care by expanding access to data-driven medicine globally. It is the creator of SOPHiA DDM™, an Ai platform that analyzes complex genomic and multimodal data to generate real-time, real-world insights for a broad global network of hospital, laboratory, and biopharma institutions. For more information, visit SOPHiAGENETICS.COM and connect with us on LinkedIn.
Forward-Looking Statements
This press release contains statements that constitute forward-looking statements. All statements other than statements of historical facts contained in this press release, including statements regarding SOPHiA GENETICS future results of operations and financial position, business strategy, products and technology, partnerships and collaborations, as well as plans and objectives of management for future operations, are forward-looking statements. Forward-looking statements are based on SOPHiA GENETICS’ management’s beliefs and assumptions and on information currently available to the company’s management. Such statements are subject to risks and uncertainties, and actual results may differ materially from those expressed or implied in the forward-looking statements due to various factors, including those described in the company’s filings with the U.S. Securities and Exchange Commission. No assurance can be given that such future results will be achieved. Such forward-looking statements contained in this press release speak only as of its date. We expressly disclaim any obligation or undertaking to update these forward-looking statements contained in this press release to reflect any change in the company’s expectations or any change in events, conditions, or circumstances on which such statements are based, unless required to do so by applicable law. No representations or warranties (expressed or implied) are made about the accuracy of any such forward-looking statements.
Investor and Media Contact:
Kellen Sanger
SOPHiA GENETICS products are for Research Use Only and not for use in diagnostic procedures unless specified otherwise.
SOPHiA DDM™ Dx Hereditary Cancer Solution, SOPHiA DDM™ Dx RNAtarget Oncology Solution and SOPHiA DDM™ Dx Homologous Recombination Deficiency Solution are available as CE-IVD products for In Vitro Diagnostic Use in the European Economic Area (EEA), the United Kingdom and Switzerland. SOPHiA DDM™ Dx Myeloid Solution and SOPHiA DDM™ Dx Solid Tumor Solution are available as CE-IVD products for In Vitro Diagnostic Use in the EEA, the United Kingdom, Switzerland, and Israel. Information about products that may or may not be available in different countries and if applicable, may or may not have received approval or market clearance by a governmental regulatory body for different indications for use. Please contact us at [email protected] to obtain the appropriate product information for your country of residence.
All third-party trademarks listed by SOPHiA GENETICS remain the property of their respective owners. Unless specifically identified as such, SOPHiA GENETICS’ use of third-party trademarks does not indicate any relationship, sponsorship, or endorsement between SOPHiA GENETICS and the owners of these trademarks. Any references by SOPHiA GENETICS to third-party trademarks is to identify the corresponding third-party goods and/or services and shall be considered nominative fair use under the trademark law.