Good morning, everyone. Thank you all for participating in today's conference call. On the call from Certara, we have Jon Resnick, Chief Executive Officer, and John Gallagher, Chief Financial Officer. Earlier today, Certara released financial results for the quarter ended March 31st, 2026. A copy of the press release is available on the company's website. Before we begin, I would like to remind you that management will make statements during this call that include forward-looking statements, and actual results may differ materially from those expressed or implied in the forward-looking statements. Please refer to slide two in the accompanying materials for additional information, which you can find on the company's investor relations website. In their remarks or responses to questions, management may mention some non-GAAP financial measures.
Reconciliations of these non-GAAP financial measures to the most directly comparable GAAP measures are available in the recent earnings press release available on the company's website. Please refer to the reconciliation tables in the accompanying materials for additional information. This conference call contains time-sensitive information and is accurate only as of the live broadcast today, May 11, 2026. Certara disclaims any obligation, except as required by law, to update or revise any financial projections or forward-looking statements, whether because of new information, future events, or otherwise. With that, I will turn the call over to Jon.
Good morning. Thank you all for joining today's call. Since we last spoke, I have crossed over the 100-day mark at Certara, and I continue to be incredibly impressed by many things within the company. We are differentiated by our world-leading scientists, institutional knowledge, regulatory leadership, and our fit-for-purpose technology that is embedded in customer and regulators' workflows. Our clinical intelligence capability is the logic built into our technology, mining the latest science and drawing on what our experts know, our interactions with regulators over decades, and what thousands of drug development successes and failures have taught us. Certara products and services are integral to the drug development process and increasingly scalable through the use of AI technologies. Having exited the listening and learning phase, my attention has transitioned to helping Certara reach its full potential.
First quarter performance was in line with our expectations, but does not reflect the company's potential. I am focused on driving long-term durable growth across the organization by reshaping our business and portfolio strategy while instilling increased organizational and operational rigor. Today, we will discuss our markets and outline the steps we are taking to position the company for long-term success before wrapping up with our first quarter performance. Let me start by updating you on our end markets. Across the board, customers are increasing investment in AI and tech-enabled drug discovery capabilities. Today, there are over 200 AI-designed molecules in clinical development, up from just a few 10 years ago. Eli Lilly has partnered with NVIDIA to build a dedicated AI lab, and Roche Genentech is launching a hybrid cloud AI factory to scale their discovery and development efforts.
Amazon has also announced a bio discovery product through AWS. OpenAI and Anthropic have announced LLMs for life science. The expansion of the use case in AI is consistent with Certara's approach using analytical techniques embedded in customers' workflow to accelerate the drug discovery and development processes while reducing the reliance on living subjects. AI-driven drug development helps the industry deliver more molecules and innovation, demand will increase for Certara's core business, Model-Informed Drug Development or MIDD. Customers race to turn drug candidates into approved treatments for patients, accelerating data analytics processes becomes more important than ever as the decades-long goal of reducing drug application timeline comes within reach. In February, the ICH released ICH M15, providing guidance of the general principles for Model-Informed Drug Development, which establishes an overarching set of principles for the acceptance of MIDD applications by regulators globally.
In March, the FDA published guidance on the general consideration for the use of New Approach Methodologies or NAMs in drug development. More recently, in April, the FDA announced a major initiative to implement real-time clinical trials, a shift to eliminate the delays that have historically slowed regulatory decisions. As FDA leadership has said, the agency has been conducting clinical trials the same way for decades, where key data signals and lag time have delayed regulatory decisions unnecessarily, which has slowed down drug development timelines. These tailwinds present a clear opportunity for Certara to tackle historically arduous drug development processes. Certara has an incredible legacy. We believe we are unrivaled in MIDD today because of what was required to build it. We have more than two decades of published scientific literature, 2,600 customers around the world.
I've run over 10,000 projects and have more than 160,000 users of our technology, including the FDA and Japan's Pharmaceuticals and Medical Devices Agency. Pinnacle 21 has been used to validate more than 36 trillion data points in support of over 500 approved treatments. We are a team of world-class scientists and are proud to have 10 scientists recognized in Elsevier's top 2% of the world's most cited scientists. This is not a position that can be replicated overnight. It is the product of decades of scientific rigor, regulatory trust, and deep customer partnership that many underestimate. For example, the qualification of our Simcyp software for the prediction of drug-to-drug interactions in the EMA required two years of engagement with participants representing all 27 member states.
Our most experienced scientists worked directly with EMA reviewers to evaluate 25 years worth of data, code, and process documentation to gain approval from the EMA. To our knowledge, Simcyp is the only mechanistic modeling software qualified in Europe at this critical level. Building on this legacy, we have developed and continue to invest in category-leading products that are truly distinguished in the market. ChemAxon, Simcyp, Pinnacle 21, and Phoenix are purpose-built, validated, and deeply embedded in the workflows of the world's leading drug developers and regulators. What makes these valuable to our customers is the cutting-edge science, proprietary data, intellectual property, thousands of validated biological parameters, unmatched computational precision, and auditable transparency that regulated science demands. As we move the company forward, there is a window of opportunity for us to drive value from connectivity across our clinical intelligence capabilities.
We are building an AI-integrated platform that sits on top of and complements our existing portfolio. This next-generation platform will give researchers the ability to interrogate Certara's full body of knowledge across products, datasets, and scientific expertise to get accurate, trusted answers to increasingly complex questions. We have created an AI native team, allocated the investment resources needed for this effort, and are engaging lighthouse customers. Our annual Certara conference in Boston illustrated our scientific and technological leadership and provided clear evidence that our customers are looking for us to innovate. In front of more than 400 attendees, we showcased the latest in MIDD and AI-enabled technology capabilities for more than a dozen products, leveraging demos and user groups to collect valuable feedback. Moving to delivery, let me share a few highlights from the quarter. Our technology and scientific experts supported numerous drug approvals.
One notable example was a complex generic of tazarotene, a dermal product used in the treatment of acne and psoriasis. Certara's PBPK in silico modeling data was accepted in lieu of a clinical endpoint bioequivalence study. This is only the second time ever that PBPK modeling has been used to enable approval of a generic drug in lieu of running clinical trials. In another example, Certara also demonstrated the real-world impact of MIDD and regulatory success for the leukemia therapy, osimertinib. Simcyp supported the evidence generation journey and approval, with the FDA accepting the PBPK modeling results in lieu of clinical studies for at least 10 human trials, significantly reducing development time and cost.
Certara scientists published nearly 100 peer-reviewed papers this year spanning dose optimization, pediatric development, virtual bioequivalence, and next-generation MIDD frameworks, which align with the recently published ICH M15 guidance focused on the multidisciplinary principles of MIDD. Among these, a publication co-authored with the FDA and MHRA scientists highlighted the expanding role of MIDD in pediatric drug development, showing PBPK has the potential to reduce timelines and costs for pediatric trials by informing dosing, study design, extrapolation, and label extension while reducing unnecessary studies in children. In addition, one of Certara's leading scientists serves as the editor-in-chief of Clinical Pharmacology & Therapeutics Journal, a position she took over from another leading Certara scientist. We had several technology advancements in the quarter with AI increasing the productivity of our developers and the value of our technology.
There were multiple new releases of our software, including a new version of D360 to help discovery scientists accelerate therapeutic peptide design and optimization, new functionality in Pinnacle 21 to accelerate clinical study startup and extended reporting functionality in Phoenix Cloud, and the release of Simcyp with expanded simulation virtual bioequivalence capabilities. To capitalize on these opportunities and prepare to scale, we are taking several decisive actions. First, we're focusing our business in accelerating long-term growth by exiting medical writing. Second, we're reorganizing and aligning the company around two distinct growth areas, MIDD and discovery, which we call MID3 and accelerated clinical evidence, which we call ACE. Third, we're creating a stronger center of gravity for AI across the company, formalizing leadership with a chief AI officer and increasing investment in our next generation Certara platform.
Fourth, we're extending our capabilities and reach with strategic collaborations and partnerships highlighted by NVIDIA and Altasciences. Fifth, we're reviewing opportunities to leverage our existing clinical intelligence capabilities into new use cases. And sixth, improving execution and efficiency. Focusing on the first action, on Friday, we closed the divestiture of the regulatory writing and medical writing business to Veristat. This transaction allows us to sharpen our focus in areas we have defined competitive and scientific advantage, results in a nearly one-to-one alignment between our expert services and our technology, where our value proposition is the strongest, improves the predictability of our revenue, and unlocks approximately 150 basis points of incremental growth in 2027 and beyond. Second, we are reorganizing the company into two groups to accelerate growth and better service our customers, MID3 and ACE.
Within MID3, we have merged our technology and expert services into one organization, creating a flywheel for technology, innovation, and customer engagement. ACE mission is to reduce data timelines along the full life cycle from design through and beyond submission, while maintaining or improving quality at every step in the process. Both groups will be supported by a Chief Product Officer, reporting to me, who will oversee product development across the organization. We are engaged in an active search for this position. Third, we have appointed Dr. Chris Bouton as our Chief AI Officer. Further evidence of our commitment to drive innovative solutions that turn decades of cross-program scientific and regulatory intelligence into market-leading AI integrated capabilities. Chris also serves as our Chief Technology Officer and led Certara's AI implementation efforts. In his expanded role, Chris will drive the acceleration of Certara's next generation platform.
Thank you, John. Hello, everyone. Total revenue for the three months ended March 31st, 2026 was $106.9 million, representing year-over-year growth of 1% on a reported basis. Total bookings in the first quarter were $115.3 million, which declined 2% from the prior year period. Trailing 12-month bookings were $479.2 million, increasing 5%. Software revenue was $49.7 million in the first quarter, which increased 7% over the prior year period on a reported basis. Growth in the quarter was driven by Simcyp, Phoenix, and ChemAxon. Ratable and subscription revenue accounted for 57% of first quarter software revenues, consistent with the prior year period.
Software bookings were $48.7 million in the first quarter, which increased 20% from the prior year period. Trailing 12-month software bookings were $192.2 million, up 8% year-over-year. The software net retention rate was 106 in the quarter. Looking at our software bookings performance by tier, we saw performance at or above plan across all three customer tiers, which was nice to see following a mixed fourth quarter performance. Now turning to services revenue, which was $57.2 million in the first quarter, down 4% versus the prior year period on a reported basis. We saw mixed results in our MIDD services business in the quarter, reflecting the operational dynamics John mentioned earlier, which was compounded by softness in regulatory services.
Services bookings in the first quarter were $66.6 million, which declined 14% from the prior year period. TTM services bookings were $286.9 million, up 2% compared to the prior year. After a strong fourth quarter, we saw softer performance from tier one customers in MIDD services during the first quarter. Total cost of revenue for the first quarter of 2026 was $41.6 million, a slight increase from $41.5 million in the first quarter of 2025.
Total operating expenses for the first quarter of 2026 were $111.2 million, an increase from $98.4 million in the first quarter of 2025, primarily due to a $7.4 million increase in the change in fair value of a contingent consideration related to the Vyasa acquisition. Adjusted EBITDA for the first quarter of 2026 was $31.7 million, a decrease from $34.8 million in the first quarter of 2025. Adjusted EBITDA margin in the quarter was 30%. Wrapping up the income statement, note that GAAP net income and EPS are both impacted by non-recurring items. Net loss for the first quarter of 2026 was $8.8 million compared to net income of $4.7 million in the first quarter of 2025.
Reported adjusted net income for the first quarter of 2026 was $14.5 million compared to $22.2 million for the first quarter of 2025. Diluted loss per share for the first quarter of 2026 was $0.06 compared to earnings of $0.03 per share in the first quarter of 2025. Adjusted diluted earnings per share for the first quarter of 2026 were $0.09 compared to $0.14 per share in the first quarter of last year. Moving to the balance sheet, we finished the quarter with $149.5 million in cash and cash equivalents. As of March 31st, 2026, we had $294.8 million of outstanding borrowings on our term loan and full availability under our revolving credit facility.
Last year, our board authorized a $100 million share repurchase program. We have repurchased approximately $82.6 million of stock since that authorization, including $40 million during the first quarter of 2026. Today, we announced the closing of the regulatory writing and medical writing services divestiture. As a reminder, in 2025, these businesses generated $50 million of revenue and approximately $17 million of adjusted EBITDA, excluding unallocated overhead expenses. During the first quarter of 2026, they contributed approximately $13 million in revenue, and we expect to recognize approximately $5 million from them in the second quarter. Going forward, we anticipate our revenue mix to be approximately 50% software and 50% services.
With that in mind, we are updating our full year 2026 guidance to reflect the divestiture as follows: We now expect 2026 reported full year revenue to be in the range of $395 million-$405 million, including the $18 million I just referenced related to the divested business. This outlook reflects full year growth of 0%-4%, excluding the divested business in both periods, and is consistent with our prior growth expectations from the call in February. We expect first half revenue growth to be closer to the low end of the 0%-4% range, while the second half is expected to be at or above the high end of the range.
We anticipate full year software growth to be at or above the high end of the 0%-4% range for the year, with first half closer to the midpoint and second half above the high end of the range. The software outlook contemplates higher visibility compared with last year, and we are optimistic about opportunities for newly introduced products. In services, we expect full year growth to be towards the low end of the 0%-4% range, with first half at or below the low end of the range, improving to the high end during the second half of the year. We see the tier two and three end markets improving through the course of the year following a strong capital raising environment through April.
Generally, compared to the guidance provided in late February, this more detailed revenue outlook reflects modestly improved software performance and modestly lower services outlook, which we attribute to some of the execution dynamics Jon referenced in his remarks. We anticipate full year 2026 adjusted EBITDA margin to continue to be 30%-32% range, including contribution from the regulatory writing and medical writing business. First half margins will be modestly below this range, and second half margins will be closer to the higher end of the range. Margin performance through the year reflects higher revenue growth in the second half of the year, as well as improved operating discipline across the organization following the divestiture. We expect adjusted EPS in the range of $0.35-$0.41 per share for the full year.
Fully diluted shares are expected to be in the range of $157 million-$159 million, and we are modeling an effective tax rate of about 30%. With that, we will open up the call for Q&A. Operator, can you please open the line?