Q3 2024 Earnings Summary
- New Collaboration with Novartis Expected to Boost Future Revenues: The significant new collaboration with Novartis is anticipated to substantially increase drug discovery revenue in 2025, as milestones and revenues from this partnership are expected to be recognized next year. Geoffrey Porges stated, "We are optimistic that those milestones will still be recognized next year rather than this year... the Novartis deal is a significant announcement with respect to next year as well".
- Growing Hosted Software Revenue Indicates Strong Demand: The company's hosted software revenue increased to 28% of total software revenue in Q3 compared to 23% in the same period in 2023, reflecting strong demand and a transition towards a recurring revenue model. Geoffrey Porges noted, "We remain very excited about the many large and frankly, midsized companies who aren't using our technology at scale yet... we think [the transition to hosted] is going to continue over the next few years".
- Advancement of Clinical Programs with Upcoming Data Readouts: The company expects to report initial clinical data from multiple programs, including the MALT1 inhibitor, in 2025, which could drive significant value if successful. Karen Akinsanya emphasized the importance of demonstrating monotherapy activity, stating, "The bar is looking for clear evidence that these mechanisms are having activity alone in terms of patient response".
- Reduced Drug Discovery Revenue Guidance: The company lowered its drug discovery revenue guidance for the year from $30 million - $35 million down to $20 million - $30 million, citing uncertainty about the timing of milestones. This indicates potential delays in achieving key milestones and recognizing associated revenue.
- Increasing R&D Expenses and Resource Constraints: The company is experiencing higher R&D expenses due to increased FTE-associated costs in both platform and therapeutic R&D activities. Management acknowledges that it may not have sufficient resources to advance all proprietary clinical programs on its own, potentially leading to increased need for partnerships or additional funding, which could pressure operating expenses.
- Limited Near-Term Software Growth from New Customers: Despite positive inquiries from smaller companies, the company is not seeing significant contributions to software growth from new customers, particularly from public biotech firms. This could limit the near-term growth potential of the software business as the company remains dependent on large and mid-sized customer renewals rather than new customer additions.
Topic | Previous Mentions | Current Period | Trend |
---|---|---|---|
Hosted Software Revenue Transition | Q1, Q2, and Q4 discussions highlighted a shift from on‑prem to hosted revenue with notable increases (e.g. 60% and 82% growth, plus commentary on a gradual, long‑term transition) | Q3 noted hosted revenue increased to 28% (up from 23% a year ago) and emphasized a smooth, long‑term trajectory despite a temporary on‑prem uptick | Consistent focus with incremental quantitative improvement. |
Clinical Pipeline Advancement | Q1, Q2, and Q4 detailed progress on three clinical programs (SGR‑1505, SGR‑2921, SGR‑3515) with data readouts anticipated in late 2024/2025 and emphasis on preclinical to clinical transition | Q3 reiterated advancements across the three programs with continued expectations for initial data readouts in 2025 and refined study details | Steady progression with maintained timelines and program commitment. |
Drug Discovery Revenue Guidance | Earlier periods showed variability and uncertainty with guidance set at $30–$35 million and discussion of unpredictable milestone timing | Q3 lowered guidance to $20–$30 million due to a reduced probability of reaching collaboration milestones in Q4 and timing shifts to 2025 | A shift toward a more cautious outlook on milestone realization and revenue timing. |
New Strategic Collaborations and Partnerships | Q1 mentioned leveraging the MD Anderson collaboration and a reversion of rights from BMS; Q2 and Q4 had little or no emphasis on new deals | Q3 prominently featured a major new Novartis collaboration with a $150 million upfront payment and extensive licensing terms | Emerging as a key differentiator with significant strategic opportunity. |
Customer Engagement, Renewal Dynamics, and New Account Growth | Previous periods described strong engagement from large global accounts, increased multi‑year renewals, and early “green shoots” of new account interest, though caution was expressed for smaller accounts | Q3 continued to highlight robust renewals and scale‐ups from large customers – including components of the Novartis deal – with additional early interest from emerging companies | Stable performance with renewed focus on large accounts and cautious optimism for new growth. |
Increasing R&D Expenses and Resource Constraints | Q1 and Q2 noted rising R&D costs (around $51 million) driven by growth in proprietary programs and headcount; Q4 reported sharper increases linked to clinical investments and acknowledged resource shortages | Q3 reported R&D expenses at $51 million, attributing increases mainly to higher FTE‑related costs and strategic reallocation to proprietary work, with ongoing resource optimization efforts | Persistent cost growth with continuous efforts to reallocate resources more efficiently. |
Financial Risks: Cash Burn and Capital Requirements | Q1 provided details on operating losses and cash usage; Q2 warned of high burn (potentially a couple hundred million dollars) and the need for additional capital; Q4 discussed higher 2024 burn expectations | Q3 showed improvement with a reduced cash burn of $33 million (compared to $50 million previously) and an increased cash balance of $398 million, aided by equity sales and the prospect of a Novartis payment | Improved cash management and a more favorable near‑term liquidity outlook. |
Emergence of AI and Machine Learning in Drug Discovery | Q1 emphasized integration of physics‑based methods with ML, Q2 detailed AI/ML’s role in initiatives like predictive toxicology, and Q4 stressed AI’s proven utility alongside noted limitations | Q3 mentioned the industry‑leading computational platform built on AI/ML without additional fanfare, suggesting maturity of the technology in its toolkit | A mature capability now taken as given, with less explicit emphasis compared to earlier periods. |
Gross Margin Sustainability Concerns | Q2 discussed temporary margin impacts due to the Predictive Tox Initiative, while Q4 focused more on overall improved margins without specific reference to Predictive Tox | Q3 detailed a decline in software gross margin to 73.4% (down from 75.7% and 80% in past figures) directly linked to the Predictive Tox Initiative, with expectations of a continued effect until the grant ends | An increasing concern with a clear short‑to‑mid‑term negative impact on margins despite long‑term benefit potential. |
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Confidence in Updated Guidance
Q: What drives confidence in updated software guidance?
A: We're confident in meeting our narrowed guidance range , with Q4 expected to contribute 42% to 44% of annual revenue as in recent years. The Novartis deal is significant but not the only factor ; we're in discussions with multiple other companies about renewals. -
Revenue Recognition Dynamics
Q: How does revenue recognition differ between hosted and on-prem contracts?
A: Hosted contracts are recognized ratably over the contract period. For example, a 1-year $1 million hosted contract would recognize about $250,000 per quarter. On-prem contracts recognize a substantial portion upfront; up to 80% of revenue may be recognized when the contract is signed. -
Reduced Drug Discovery Guidance
Q: Is the narrowed drug discovery guidance due to timing?
A: Yes, the reduction reflects uncertainty about the timing of events around year-end. We're confident about next year, with opportunities anticipated to shift into Q1 and Q2. The Novartis deal also contributes to next year's outlook. -
P&L Management and Clinical Programs
Q: How are you managing P&L with advanced clinical programs?
A: We're focused on reducing expense growth into the single digits and seeing operating leverage emerge. We don't intend to advance all molecules on our own ; we're optimistic data next year will reveal opportunities. -
Milestone Recognition Timing
Q: Will reduced probability of 2024 milestones affect future recognition?
A: While no future milestone is 100% certain , we expect milestones to be recognized next year rather than this year. The timing of revenue from the Novartis collaboration will also impact next year's revenue. -
Cloud vs. On-Prem Adoption
Q: What percentage of software business is cloud-based?
A: In Q3, 28% of our total software was hosted, up from 23% last year. Focusing on customer contracts, the percentage is likely in the high 30% range. The on-prem portion may increase due to the Novartis deal. -
New Customer Adds and Biotech Funding
Q: How are new customer adds influenced by biotech funding cycles?
A: We're seeing interest from smaller companies and private, pre-IPO firms. However, it's premature to say they'll significantly contribute to software growth. We're excited about large and midsized companies not yet using our technology at scale. -
Non-Oncology Program Prioritization
Q: Will you invest in clinical infrastructure for non-oncology programs?
A: Yes, we plan to pursue select non-oncology assets into Phase I studies. While committed to oncology, we've made significant progress in immunology and neuroscience programs. Some targets have clear early value inflection points. -
Expectations for MALT1 Data
Q: What are your expectations for the upcoming MALT1 data?
A: We'll release data in H1 2025 from our Phase I dose escalation study. Focus is on safety, PK/PD, and early efficacy. Success is defined by evidence of monotherapy activity in relapsed/refractory B-cell malignancy patients. -
PRMT5 Program Differentiation
Q: How does your PRMT5 program differentiate from others?
A: We're developing brain-penetrant compounds to target a broader set of tumors, including glioblastoma. We aim to maximize synergy between PRMT5 and MTA for deeper responses. It's early days, but we're excited about this important mechanism. -
Predictive Toxicity Platform Availability
Q: Is the predictive toxicity platform available to customers?
A: Not widely yet. We're making good progress expanding targets in the virtual panel. We're using it extensively in collaborations and will engage with select customers for early access.
Research analysts covering Schrodinger.