Recursion Pharmaceuticals, Inc.

Recursion Pharmaceuticals, Inc. (RXRX) Market Cap

Recursion Pharmaceuticals, Inc. has a market capitalization of $1.63B.

Financials based on reported quarter end 2025-12-31

Price: $3.65

0.09 (2.48%)

Market Cap: 1.63B

NASDAQ · time unavailable

CEO: Najat Khan

Sector: Healthcare

Industry: Biotechnology

IPO Date: 2021-04-16

Website: https://www.recursion.com

Recursion Pharmaceuticals, Inc. (RXRX) - Company Information

Market Cap: 1.63B · Sector: Healthcare

Recursion Pharmaceuticals, Inc. operates as a clinical-stage biotechnology company, engages in the decoding biology by integrating technological innovations across biology, chemistry, automation, data science, and engineering to industrialize drug discovery. The company develops REC-994, which is in Phase IIa clinical trial to treat cerebral cavernous malformation; REC-2282 for the treatment of neurofibromatosis type 2; REC-4881 to treat familial adenomatous polyposis; and REC-3599, which is in Phase I clinical trial to treat GM2 gangliosidosis. Its preclinical stage product includes REC-3964 to treat Clostridium difficile colitis; REC-64917 for the treat of neural or systemic inflammation; REC-65029 to treat HRD-negative ovarian cancer; REC-648918 to enhance anti-tumor immune; REC-2029 for the treatment of wnt-mutant hepatocellular carcinoma; REC-14221 to treat solid and hematological malignancies; and REC-64151 for the treatment of immune checkpoint resistance in KRAS/STK11 mutant non-small cell lung cancer. The company has collaboration and agreement with Bayer AG; the University of Utah Research Foundation; Ohio State Innovation Foundation; Chromaderm, Inc.; and Takeda Pharmaceutical Company Limited. Recursion Pharmaceuticals, Inc. was incorporated in 2013 and is headquartered in Salt Lake City, Utah.

Analyst Sentiment

63%
Buy

Based on 10 ratings

Analyst 1Y Forecast: $11.00

Average target (based on 2 sources)

Consensus Price Target

Low

$11

Median

$11

High

$11

Average

$11

Potential Upside: 201.5%

Price & Moving Averages

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

📘 RECURSION PHARMACEUTICALS INC CLAS (RXRX) — Investment Overview

🧩 Business Model Overview

Recursion Pharmaceuticals Inc. (RXRX) operates at the nexus of biotechnology and artificial intelligence to redefine drug discovery and development. The company’s core mission centers on industrializing drug discovery through its pioneering Recursion Operating System, which combines automated, large-scale wet-lab biology with advanced computational tools. By leveraging high-content imaging, massive in-house proprietary datasets, and sophisticated machine learning algorithms, Recursion aims to accelerate the identification, validation, and progression of novel drug candidates with greater efficiency and accuracy than traditional discovery methods. The company functions as a vertically integrated platform biopharma. Recursion generates and analyzes petabytes of cellular imaging data, enabling pattern recognition across diverse disease models. This hybrid of laboratory automation and in silico discovery builds upon a cycle of iterative experimentation and AI-driven hypothesis generation, creating what Recursion refers to as an "industrialized" approach to therapeutics R&D. Management maintains full control from target identification through early development, allowing for both in-house pipeline generation and external collaborations.

💰 Revenue Streams & Monetisation Model

Recursion’s monetization model is structured around two primary channels: internally developed pipeline assets and strategic collaborations with external partners. 1. **Proprietary Pipeline**: The company’s internal R&D efforts yield novel small-molecule drug candidates targeting a range of indications, from rare genetic diseases to oncology and neuroscience. As these candidates progress through preclinical and clinical stages, Recursion seeks potential milestone payments, licensing revenues, or eventual commercialization proceeds either independently or via out-licensing/partnership models. 2. **Collaborations & Partnerships**: Recursion has established multiple collaborations with large pharmaceutical companies and technology players. These partnerships often take the form of co-discovery and co-development agreements, where upfront payments, research funding, and downstream milestone or royalty payments are linked to the advancement and commercialization of jointly discovered assets. By providing access to its platform, Recursion enables partners to accelerate and de-risk their pipeline efforts, capturing value both as a service provider and as an equity participant in asset success. This hybrid model provides both near-term non-dilutive revenue from partnerships and the potential for longer-term outsized returns from pipeline successes.

🧠 Competitive Advantages & Market Positioning

Recursion’s primary competitive advantage stems from its significant early investment in large-scale, high-content data generation and computational infrastructure. Its proprietary database — comprising trillions of cellular images produced by standardized, automated laboratory processes — represents a unique, non-replicable training set for machine learning algorithms in drug discovery. Competitive positioning is further reinforced by: - **Vertical Integration**: End-to-end control of both wet-lab and informatics, reducing friction between data generation and computational analysis. - **Scale and Automation**: Ability to conduct hundreds of thousands of experiments in parallel enables rapid hypothesis testing and broad exploration of “chemical and biological space.” - **AI/ML Expertise**: Advanced in-house talent for applying neural networks and other learning techniques to biological data, driving novel insights beyond the scope of classical bioinformatics. - **Partnership Ecosystem**: Strategic alliances with both pharma and technology leaders provide validation, non-dilutive capital, and opportunities to refine and de-risk the platform. Compared to traditional drug discovery firms and other AI-biotech peers, Recursion’s data scale, platform completeness, and integrated approach provide defensible competitive moats.

🚀 Multi-Year Growth Drivers

Several secular and company-specific trends support Recursion’s long-term growth outlook: - **Digital Transformation in Drug Discovery**: The growing realization that computational approaches can exponentially accelerate and cheapen R&D spurs industry demand for platform-enabled discovery, benefitting Recursion’s business model. - **Expanding Proprietary Pipeline**: The company’s internal pipeline, spanning rare diseases, oncology, and neurodegeneration, holds potential for multiple value-creating inflection points as assets advance through clinical development. - **Partnership Expansion**: As pharmaceutical partners become increasingly reliant on external innovation, Recursion’s AI-powered platform offers an attractive risk-sharing solution. Success with early partners can prompt both renewal and increased scale of collaborations. - **Platform Scaling Effect**: With each experiment and partnership, Recursion’s data corpus expands, yielding a flywheel effect in model performance and insight generation. This compounding data advantage drives both improved discovery rates and ongoing differentiation. - **Emerging Modalities**: Potential application of Recursion’s approach beyond small molecules — such as target discovery for gene editing or biologics — further broadens its total addressable market.

⚠ Risk Factors to Monitor

Despite its promise, Recursion faces several material risks: - **Biological and Clinical Uncertainty**: Like all biotech firms, high attrition rates in clinical development and the complexity of human biology remain ever-present risks, which could delay or derail pipeline asset progress. - **Execution Complexity**: Scaling alliances, data infrastructure, and laboratory operations introduce substantial managerial and technical overhead. Missteps in execution could impact timelines or quality. - **Dependence on Partnerships**: A significant portion of non-dilutive funding relies on the continued appetite of biopharma partners; any cooling in partnership demand or failure to deliver value may impact revenues and validation. - **AI/ML Competition**: Rapid evolution in AI technologies and increased activity from technology sector entrants could pressure Recursion’s data and analytics edge. - **Capital Intensity**: Given its dual investment in wet- and dry-lab capabilities, Recursion’s business model requires sustained access to capital until revenues from pipeline assets are realized.

📊 Valuation & Market View

Recursion's valuation reflects its hybrid identity as both a platform-enabled biotech and a data-centric technology entity. Market perception is influenced by several factors: - **Platform Optionality**: Investors tend to ascribe a premium for Recursion’s platform scalability and potential for multi-asset, multi-partner impact across therapeutic areas. - **Risk-Reward Profile**: As with all development-stage biotechs, the value of Recursion’s pipeline is discounted for clinical and regulatory uncertainties, but platform economics and external partnerships can mitigate some risk via near-term revenue visibility. - **Comparables and Precedents**: Relative to both traditional biotechs and AI-driven drug discovery companies, Recursion’s unique blend of large-scale data assets, internal pipeline, and blue-chip partnerships can support a differentiated valuation multiple, though subject to execution and macro sentiment. - **Potential Catalysts**: Advancements of key pipeline assets, new or expanded collaborations, and demonstration of AI-driven efficiencies in discovery timelines all serve as potential valuation inflection points. Given the capital-intensive nature of the model and the long timelines to biotech value realization, investor appetite is generally strongest among long-term, innovation-focused funds with tolerance for volatility.

🔍 Investment Takeaway

Recursion Pharmaceuticals exemplifies the convergence of biotechnology and artificial intelligence, targeting the “industrialization” of drug discovery through a profound integration of high-throughput experimental biology and AI-powered analytics. Its combination of proprietary pipeline generation and broad-based strategic partnerships offers both upside from drug candidate success and risk-mitigating revenues through collaboration. The company stands out through its scale of proprietary data assets, vertical integration, and leadership at the interface of wet- and dry-lab approaches. While inherent biotech risks, complexity of execution, and competitive intensity exist, Recursion’s distinctive business model and multi-pronged growth drivers position it to potentially disrupt traditional R&D paradigms. As a long-term investment opportunity, Recursion may appeal to those seeking exposure to both the promise of AI in drug discovery and the asymmetric outcomes possible within innovative biotech. Disciplined execution and consistent demonstration of platform value—via milestone achievements and sustained partner engagement—will be critical to realizing the company's multi-billion dollar value creation potential.

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

Fundamentals Overview

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Management’s tone is upbeat on de-risking and efficiency (“trifecta,” platform repeatability, runway into early 2028), but the Q&A reveals the real pressure points are execution durability and sustained cost discipline. On the financial question (Alex, Morgan Stanley), Ben Taylor explicitly frames Q4 cost optimization as efficiency rather than one-time cuts, and says there are no big system one-offs—meaning the $390M 2026 cash Opex target must be achieved through ongoing “do more with less.” On clinical/regulatory, management reiterates FDA engagement in 2026 for REC-4881 and dose-optimization plans tied to durability; also emphasizing enrollment/speed improvements from its clinical AI platform. The company provides strong efficacy metrics for REC-4881 (43% median polyp reduction; 75% responding) and points to repeatability via the Sanofi pipeline milestone. Still, risks remain: tolerability and historic target failures, plus the acknowledged ~90% discovery failure rate.

AI IconGrowth Catalysts

  • REC-4881 (MEK1/2 inhibitor) Phase 2: 43% median polyp burden reduction at 3 months; 75% of patients responding
  • REC-4881 durability: continued polyp burden reduction after 3 months off-treatment (in some cases deepening)
  • REC-481 (FAP) referenced as having first positive clinical proof-of-concept and initial FDA engagement targeted for 2026
  • Sanofi partnership momentum: 5th milestone achieved to date (repeatability across five programs)

Business Development

  • Sanofi collaboration: $100M upfront; ~$34M in milestones to date; multiple programs (five) plus early discovery packages
  • Roche Genentech partnership: two back-to-back biology maps accepted; maps being translated into novel biological programs
  • NVIDIA technical collaboration: automation and ML/Runs “Runner 2” compute used as underpinning examples (e.g., PI3K via ML + molecular dynamics)
  • Google partnership for cloud compute

AI IconFinancial Highlights

  • Pro forma operating expenses: 35% reduction year-over-year in 2025
  • 2025 cash savings: company claims came in 10% below guidance provided in May
  • Cash balance: $754M ended the year with cash
  • Operating expense guidance (2026 cash): under $390M (cash operating expenses non-GAAP)
  • Runway: extended cash runway into early 2028 (guidance updated vs prior) as of this call
  • Partner cash inflows: crossed $500M cumulative partner inflows; over $500M total cash inflows referenced in partnership discussion

AI IconCapital Funding

  • Cash: $754M ended Q4 2025
  • Runway extension: into early 2028
  • No buyback/debt figures disclosed in the transcript

AI IconStrategy & Ops

  • Corporate/system rebuild completed as part of integration; rebuilt corporate systems from ground up
  • Shift to an outcomes-based budget / “more with less” mentality; efficiency emphasized over headline cost-cutting
  • Automation/agentic orchestration ramp: synthesize ~330 compounds vs ~2,500 in industry; 90% fewer compounds
  • Speed improvement: ~17 months from target to advanced candidate vs ~42+ months for industry
  • Emerging clinical development AI platform: improved enrollment rates by 1.3x to 1.6x and starts studies up to 3 months faster

AI IconMarket Outlook

  • FDA engagement for REC-4881 targeted for 2026 (registrational pathway alignment discussion)
  • RBM39: initial early safety and PK expected in 2026
  • ENPP1 and PI3K H1047 programs: go/no-go decisions expected in the second half of this year (before Phase 1 consideration for PI3K; IND-enabling ongoing for both)
  • Additional REC-4881 clinical data expected in 2027
  • CDK7: combo data expected in 2027
  • MALT1 and LSD1: early safety and PK expected first half of 2027

AI IconRisks & Headwinds

  • Clinical probability risk acknowledged: drug discovery/development is probabilistic; management cites ~90% failure rate and need for multiple ‘shots on goal’
  • Tolerability challenges historically cited for targets: MALT1 tolerability issues (linked to UGT1A1/combination settings), LSD1 dose-limiting toxicities including thrombocytopenia; PI3K inhibitors constrained by hyperglycemia/metabolic toxicity and dose interruptions
  • Operational/efficiency execution risk: management states integration/system work completed with “no big one-offs,” implying ongoing challenge is sustaining efficiency while investing in pipeline/platform

Sentiment: MIXED

Note: This summary was synthesized by AI from the RXRX 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 (RXRX)

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