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Schrodinger(SDGR) - 2025 Q1 - Earnings Call Transcript
2025-05-07 21:30
Financial Data and Key Metrics Changes - Total revenue for Q1 2025 was $59.6 million, representing a 63% increase compared to Q1 2024 [12][19] - Software revenue was $48.8 million, up 46% year-over-year, driven by larger customer renewals and expansions [13][19] - Drug discovery revenue increased to $10.7 million from $3.2 million in Q1 2024, boosted by revenue recognition from the Novartis collaboration [14][19] - Operating expenses decreased to $82 million from $86 million in Q1 2024, primarily due to lower R&D expenses [18][19] - Net loss after taxes was $60 million, or $0.82 per share, compared to a net loss of $54.7 million, or $0.76 per share in Q1 2024 [19] Business Line Data and Key Metrics Changes - Software cost of revenue increased to $13.5 million from $8 million in Q1 2024, attributed to the Gates Predictive Tox initiative [15] - Professional services revenue declined by 31% to $3.8 million due to the completion of prior service contracts [14] - On-prem software revenue grew by 44% to $25.4 million, while hosted revenue increased by 52% to $10.9 million [13] Market Data and Key Metrics Changes - The company noted that its direct exposure to revenue from China is small, with low single-digit percentages of software revenue coming from Chinese entities [22] - The FDA's goal to reduce preclinical animal testing is seen as a positive development for the company's technology and offerings [6][23] Company Strategy and Development Direction - The company aims to accelerate the growth of its software business and advance its drug discovery programs [3][5] - Management is optimistic about the potential of its predictive toxicology initiative and plans to release a beta version to select customers later this year [8][9] - The company expects to maintain its full-year financial guidance, projecting software revenue growth of 10% to 15% and drug discovery revenue between $45 million and $50 million [24][25] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's financial position and its ability to navigate the current macroeconomic challenges [11][12] - The company is not currently experiencing resistance to purchasing conversations, although it is monitoring potential regulatory impacts [21][22] - Management remains positive about the outlook for the year, anticipating strong performance driven by clinical data presentations and ongoing collaborations [25][26] Other Important Information - The company has advanced several programs into the clinic and partnered early-stage programs with companies like Novartis and Lilly [31][76] - The predictive toxicology initiative aims to scale existing solutions to hundreds of off-targets, enhancing the company's offerings [70] Q&A Session Summary Question: Expectations around the upcoming presentation of SGR1505 - Management is excited to share initial data from the dose escalation study, focusing on safety, pharmacokinetics, and initial signs of activity [40][41] Question: Financial guidance on cash burn and R&D investments - Management indicated that cash burn is not expected to increase significantly next year, maintaining optionality with ongoing programs [41] Question: Differentiation of the predictive toxicology model - The company is developing highly accurate models that leverage both physics and machine learning, which differentiates its offering from other preclinical simulators [47] Question: Trends observed in customer dynamics - Management noted that while small biotech segments are not growing, large accounts continue to drive growth without pushback on renewals [55] Question: Threats from AI-native companies - Management emphasized that there is currently no evidence of a threat and highlighted the importance of their deep understanding of the technology [59] Question: Customer expectations and FDA guidance on animal testing - Customers are looking for impact from the technology, and the predictive toxicology initiative is expected to significantly contribute to reducing animal testing [64][68]