Schrödinger, Inc.

Schrödinger, Inc. (SDGR) Market Cap

Schrödinger, Inc. has a market capitalization of $842.3M.

Financials based on reported quarter end 2025-12-31

Price: $11.41

-0.94 (-7.61%)

Market Cap: 842.34M

NASDAQ · time unavailable

CEO: Ramy Farid

Sector: Healthcare

Industry: Medical - Healthcare Information Services

IPO Date: 2020-02-06

Website: https://www.schrodinger.com

Schrödinger, Inc. (SDGR) - Company Information

Market Cap: 842.34M · Sector: Healthcare

Schrödinger, Inc., together with its subsidiaries, provides physics-based software platform that enables discovery of novel molecules for drug development and materials applications. The company operates in two segments, Software and Drug Discovery. The Software segment is focused on selling its software for drug discovery in the life sciences industry, as well as to customers in materials science industries. The Drug Discovery segment focuses on building a portfolio of preclinical and clinical programs, internally and through collaborations. The company serves biopharmaceutical and industrial companies, academic institutions, and government laboratories worldwide. Schrödinger, Inc. was incorporated in 1990 and is based in New York, New York.

Analyst Sentiment

72%
Strong Buy

Based on 12 ratings

Analyst 1Y Forecast: $18.50

Average target (based on 2 sources)

Consensus Price Target

Low

$18

Median

$18

High

$18

Average

$18

Potential Upside: 57.8%

Price & Moving Averages

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📘 Full Research Report

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AI-Generated Research: This report is for informational purposes only.

📘 SCHRODINGER INC (SDGR) — Investment Overview

🧩 Business Model Overview

Schrodinger Inc (SDGR) is a science-driven technology company that leverages physics-based computational platforms to transform drug discovery and materials design. The company operates at the intersection of computational chemistry, software engineering, and life sciences, aiming to change the paradigm of molecular research and development through accurate molecular modeling and simulation technologies. Schrodinger’s core asset is its proprietary software platform, which enables researchers to predict the properties of molecules with deeply enhanced accuracy and scalability compared to traditional experimental and laboratory-heavy approaches. The firm serves pharmaceutical, biotechnology, and materials science companies, as well as academic institutions, with both software licenses and vertically-integrated collaborative drug discovery initiatives.

💰 Revenue Streams & Monetisation Model

Schrodinger generates revenue through a dual-pronged approach—software licensing and collaborative drug discovery programs. **1. Software Revenue:** The core software suite, built around proprietary physics-based algorithms, is licensed to organizations under multi-year contracts, typically on a subscription basis. Pricing is determined by the scale of deployment, the suite of modules accessed, and the duration of the contract. Licenses are sold to pharmaceutical, biotechnology, agrochemical, chemical, and materials company customers, as well as research institutions. This stream provides recurring, high-margin revenue and forms the backbone of the company’s financial model. **2. Drug Discovery Revenue:** Schrodinger enters into collaborative drug discovery partnerships where it contributes its computational platform and expertise alongside partners’ capabilities to co-develop therapeutic programs. These arrangements yield revenue from upfront payments, research and development reimbursement, milestone payments tied to clinical progress, and potential royalties if co-developed products reach commercialization. The company also pursues its own pipeline of proprietary drug discovery programs, allowing for future downstream monetization through out-licensing or commercialization. This blended revenue structure enables a balance between the predictability of software income and the high-upside potential of successful drug discovery collaborations.

🧠 Competitive Advantages & Market Positioning

Schrodinger’s core competitive advantage resides in its proprietary, physics-based computational platform, which sets it apart from more traditional informatics and AI/ML drug discovery tools. The platform’s simulation accuracy has been validated in peer-reviewed studies and industry benchmarks, establishing it as a preferred tool in molecular modeling. Key competitive strengths include: - **Intellectual Property & Scientific Depth:** Years of investment in R&D and integration of quantum mechanics, statistical thermodynamics, and modern software engineering yielding robust IP. - **Scalability:** Cloud-native architecture allows for computational scalability, enabling simulations at sizes and speeds that are otherwise unfeasible using only experimental methods. - **Industry Validation:** Widespread adoption among leading pharmaceutical and biotechnology firms, as well as academic recognition, demonstrates entrenched market credibility. - **Integrated Offering:** Unique combination of software licensing with active participation in drug discovery gives Schrodinger a seat at the table in high-value co-development opportunities. Within its addressable markets, SDGR is positioned as a best-in-class partner for organizations seeking to accelerate R&D, reduce costs, and de-risk the drug development continuum.

🚀 Multi-Year Growth Drivers

Several secular and structural trends provide long-term growth catalysts for Schrodinger: - **Digitization of Drug Discovery:** The pharmaceutical industry is increasingly embracing computational platforms to speed up target identification, compound optimization, and de-risk costly clinical failures, driving greater spending on Schrodinger’s offerings. - **Expansion Into Materials Science:** Beyond life sciences, Schrodinger’s platform facilitates the design of new materials for electronics, energy storage, and manufacturing, unlocking new verticals for growth. - **Collaborative Pipeline Potential:** Ongoing and prospective co-discovery and licensing deals can create significant value inflection points should any program advance into late-stage clinical trials or commercialization. - **Platform Enhancements:** Continuous improvements in the computational platform—including deeper AI-integration, cloud scalability, and support for new molecule modalities—broaden the potential user base and deepen incumbency among existing clients. - **Global Penetration:** Expansion of sales efforts in Japan, China, Europe, and other international markets enlarges the total addressable market.

⚠ Risk Factors to Monitor

- **Drug Development Uncertainty:** The inherently high attrition rates in pharmaceutical R&D expose the company’s collaborative and proprietary drug discovery investments to binary risk events. - **Competitive Dynamics:** Acceleration in computational drug discovery has attracted a crowded field, including technology giants and well-capitalized startups employing AI/ML-based approaches. Schrodinger must continuously innovate to retain its scientific edge. - **Customer Concentration:** A significant portion of software revenue is dependent upon large pharmaceutical firms. Loss or consolidation of key customers may impact revenues. - **Lengthy Sales Cycles:** Adopting enterprise software within the life sciences often involves protracted sales, implementation, and validation processes, which can delay revenue recognition and increase execution risk. - **Regulatory/Privacy Considerations:** Expansion into new regions and sectors may trigger additional compliance burdens and data privacy challenges.

📊 Valuation & Market View

Schrodinger’s valuation reflects a blend of high-margin recurring software revenues and the speculative upside of its drug discovery pipeline. Software segment multiples tend to command premium valuations due to the defensibility, stickiness, and scalability of recurring license subscriptions. Drug discovery collaboratively-developed assets and the proprietary pipeline add a layer of optionality, which the market may discount or richly value depending on perceived probability of clinical or commercial success. On a relative basis, the company’s software operations are often benchmarked against leading vertical SaaS and scientific software peers, while the drug discovery arm aligns with biotech sector comparables, reflecting higher volatility. The company’s balance sheet flexibility and operating leverage are important considerations for forecasting future profitability and free cash flow generation as the platform further scales.

🔍 Investment Takeaway

Schrodinger Inc offers a compelling, differentiated approach at the convergence of advanced computing and drug discovery, supported by a proven software platform and optionality from a potentially lucrative pipeline. For investors seeking secular exposure to the digital transformation of life sciences and materials science, Schrodinger provides a unique technology moat and established market credibility. While risks around drug development, customer concentration, and intensifying competition are non-trivial, the combination of recurring revenue, strong scientific foundations, and potential for step-change value creation through successful collaborations and pipeline progression may justify a long-term, diversified allocation for growth-oriented portfolios.

⚠ AI-generated — informational only. Validate using filings before investing.

Fundamentals Overview

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📊 AI Financial Analysis

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Earnings Data: Q Ending 2025-12-31

"For the fiscal year ending December 31, 2025, SDGR reported revenue of $87.2M and a net income of $32.5M, translating to an earnings per share (EPS) of $0.44. The company appears to be under significant pressure, reflected in a negative operating cash flow of -$16.1M. On the balance sheet, total assets stand at $726.2M against total liabilities of $362.1M, yielding total equity of $364.1M and net debt of -$121.3M, suggesting a strong cash position with no debt obligations. However, the overall performance in the market has been disappointing, with a 1-year change in stock price of -49.14%, indicating weak investor sentiment. Despite its recent struggles, SDGR maintains robust equity, but current operational challenges and lack of cash flow efficiency pose risks to sustaining future growth. Investors may want to watch for changes in revenue trends or operational improvements to gauge the potential for recovery."

Revenue Growth

Fair

Stable revenue of $87.2M, but growth trajectory is unclear.

Profitability

Neutral

Net income of $32.5M demonstrates profitability, albeit with cash flow challenges.

Cash Flow Quality

Neutral

Negative operating cash flow raises concerns about liquidity.

Leverage & Balance Sheet

Good

Strong equity position and minimal debt provide financial stability.

Shareholder Returns

Neutral

Significant stock price decline with no dividends paid.

Analyst Sentiment & Valuation

Caution

Low market performance indicates uncertain analyst sentiment.

Disclaimer:This analysis is AI-generated for informational purposes only. Accuracy is not guaranteed and this does not constitute financial advice.

Management is upbeat on long-term software monetization, hosted transition, and agentic-AI tailwinds, and it reaffirmed a clear 2028 framework: 10%–15% annual software ACV growth, ~75% hosted mix by 2028, and positive adjusted EBITDA by end of 2028. However, the Q&A pressure points were largely about near-term optics and mechanics. The call acknowledged that the hosted acceleration creates near-term revenue recognition volatility (with a stated rule-of-thumb: each +1% hosted mix can cut current-year revenue by ~$2M–$3M), which explains the Q4 software revenue drop (-13% YoY) despite flat ACV. Analysts also probed whether incremental products like predictive tox are already “baked” into growth—management confirmed new-product impacts are included in growth expectations. Net-net: tone is confident on demand and product momentum, but the factual setup is that reported revenue/gross margin will look weaker in the transition period while ACV is used to track fundamentals.

AI IconGrowth Catalysts

  • Predictive toxicology beta released; feedback 'outperformed expectations' and launch underway (implied contribution to growth)
  • Accelerated transition to hosted contracts supporting faster deployment and enhanced renewals/licensing efficiency
  • New product launches included in 2026-2028 software ACV growth plan (explicitly includes predictive tox and others mentioned in slides)
  • Hosted throughput-based licensing model expected to benefit from agentic AI-driven higher utilization of compute

Business Development

  • Top 20 pharma relationship expansion: ACV for this cohort +15%
  • Two of the largest customers acquired in 2025 by top 20 pharma customers; retained throughput/value (customer count -2, throughput/value largely retained)
  • Structure Therapeutics (co-founded) — December announcements: GLP-1 and Phase I amylin program
  • Nimbus — eligible to receive up to ~$100M additional future cash distributions tied to global sales milestones (related to sales milestones)
  • M&A validation: Takeda acquired Nimbus-derived Tyk2 inhibitor zasocitinib; Takeda expects launch in 2027

AI IconFinancial Highlights

  • Full-year 2025 revenue: $256M (+23%)
  • Q4 2025 software revenue: $69.3M (-13% YoY) due to revenue recognition timing from a large multi-year on-prem deal signed in Q4 2024 vs deployments in 2025 shifting more revenue recognition into 2026+ (hosted deferral effect)
  • Full-year 2025 software revenue: $199.5M; software ACV: $198.5M
  • Software gross margin: 74% vs 80% in 2024 (driven by higher costs associated with grant contribution revenue)
  • Q4 2025 gross margin: 81%
  • Operating expenses: $310M (~-9% vs 2024) from R&D and G&A rationalizations; modest sales & marketing increase
  • Total other income: gain of $65M vs $24M last year (mark-to-market on equity investments + currency fluctuations)
  • Net loss: $103M in 2025 vs $187M in 2024
  • Software ACV: $198.5M (+4% vs $190.8M in 2024); top 20 pharma ACV +15%; commercial ACV +7% to $177.4M
  • Retention metrics: net dollar retention fell to 100% (from >110% average prior years) due to 'incredibly difficult environment' impacting ability to expand; gross dollar retention 96%
  • Hosted transition impact rule-of-thumb: each 1% increase in hosted revenue percentage expected to reduce current-year revenue by ~$2M to ~$3M
  • 2026 guidance approach: company guided to ACV (not software revenue) due to near-term revenue recognition volatility from hosted acceleration
  • 2026 ACV guidance: $218M-$228M (+10% to +15%); Q1 2026 ACV: $24M-$28M (vs $25M in Q1 2025)
  • 2026 drug discovery revenue guidance: $55M-$65M; target ~ $50M annual drug discovery revenue in coming years (milestone-driven variability noted)
  • Software medium-term targets: 10% to 15% annual software ACV growth; return gross margin to high-70s; target positive adjusted EBITDA by end of 2028

AI IconCapital Funding

  • Cash position (balance sheet): $402M (also referenced as over $400M cash)
  • No buyback/debt/cash runway numbers were provided in the transcript excerpt

AI IconStrategy & Ops

  • Accelerating transition from predominantly on-prem to hosted: 23% of software revenue hosted in 2025; target ~75% of software revenue hosted by 2028 (with some exceptions)
  • Revenue accounting consideration: hosted revenue recognized ratably over contract term; more deferred revenue/backlog for future periods under hosted
  • 2026 guidance framed around ACV to manage volatility from hosted revenue recognition shift (expected more predictable financial profile, revenue converging with ACV by 2028)

AI IconMarket Outlook

  • 2026 ACV: $218M-$228M (10%-15% growth); Q1 ACV: $24M-$28M
  • 2026 drug discovery revenue: $55M-$65M
  • Target annual software ACV growth: 10%-15%
  • Target positive adjusted EBITDA: by end of 2028
  • Target hosted mix: ~75% of software revenue hosted by 2028

AI IconRisks & Headwinds

  • Revenue recognition volatility from accelerated on-prem-to-hosted transition (explicitly impacts near-term reported software revenue and compresses gross margins/adjusted EBITDA without changing COGS or operating expenses)
  • Challenging pharma budgets and difficult biotech capital markets in 2025
  • Net dollar retention pressure: fell to 100% (from >110% average) due to inability to 'meaningfully expand relationships' in 2025 environment
  • Q4 software revenue decline (-13% YoY) driven by multi-year deal deployment timing and recognition differences (on-prem upfront vs hosted ratable)

Sentiment: MIXED

Note: This summary was synthesized by AI from the SDGR Q4 2025 earnings transcript. Financial data is complex; please verify all metrics against official SEC filings before making investment decisions.

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SEC Filings (SDGR)

© 2026 Stock Market Info — Schrödinger, Inc. (SDGR) Financial Profile