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Disclosure: The author holds a long position in SDGR.
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SDGR

Analysis as of: 2026-06-14
Schrödinger, Inc.
Schrödinger sells molecular discovery software and workflow tools and also captures downstream value through partnered and selective proprietary drug discovery programs.
ai biotech enterprise healthcare software
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Summary

Workflow proof, not pipeline heroics, drives upside
The upside case is a cleaner discovery operating layer with better software quality and measured partner optionality. The stock can more than double by 2031 if hosted delivery and new AI workflow tools deepen control of discovery programs rather than just add scientific utility.

Analysis

Thesis
Schrödinger can more than double equity value by 2031 if hosted delivery, LiveDesign workflow control, and Bunsen-driven program throughput convert a niche science software stack into a cleaner discovery operating layer with recurring software economics plus partner optionality, without drifting back into balance-sheet-heavy biotech risk.
Last Economy Alignment
Cheaper compute and AI should expand demand for computational discovery, and Schrödinger owns both hard-to-copy science know-how and a shared workflow surface. It benefits from the Last Economy, but it is not immune to large-pharma in-sourcing or agents routing work to cheaper tools.
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Opportunity Outlook

Average Implied 5-Year Multiple
3.2x (from 5 most recent analyses)
Reasoning
The upside is a quality rerating plus sustained compounding, not a heroic drug-pipeline bet. Schrödinger already has real enterprise software, sticky scientific workflows, and partner validation; if hosted contracts mature well and Bunsen expands value per discovery program, investors can revalue it from a noisy niche tool vendor toward a cleaner workflow-and-outcomes platform. I still keep the upside below true platform leaders because pricing durability and AI-era control remain to be proven.
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Risk Assessment

Overall Risk Summary
The main risk is validation, not survival. Schrödinger must prove that hosted ACV growth, Bunsen usage, and deeper workflow embedding translate into durable revenue quality, better cash generation, and real pricing power before the market will treat it as a discovery operating layer rather than a useful but replaceable scientific tool.
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Last Economy Structure

AI Industrial Score
0.51
They control useful science software and a shared workspace where drug teams coordinate work, so cheaper AI and compute can send more activity through their system. The risk is that big pharma keeps core data control in-house and lets agents call cheaper tools directly, which would weaken pricing power.
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Third Party Analyst Consensus

12-Month Price Target
$20.88
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