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

Analysis as of: 2026-04-28
Schrödinger, Inc.
Schrödinger sells computational molecular design software to life sciences and industrial customers and also uses the platform in partnered and proprietary drug discovery programs.
ai biotech enterprise healthcare software
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Summary

Workflow Control Could Unlock a Cleaner Multiple
The upside case is a cleaner software-plus-royalty story: deeper workflow control, steadier hosted revenue, and externalized pipeline funding. The constraint is proof that customers view the system as essential infrastructure rather than as a high-end modeling tool.

Analysis

Thesis
Schrödinger can compound into a larger, cleaner discovery-software franchise if LiveDesign becomes the governed workflow layer for AI-native R&D, hosted contracts make ACV more durable, and therapeutics upside is externalized into milestones and royalties instead of reviving a heavy internal biotech burn.
Last Economy Alignment
Cheaper compute and better models increase the value of its simulation-led discovery workflows, and workflow embedding can shift value capture toward trust, coordination, and governed execution. The score stops short of very high because Schrödinger does not own the underlying compute stack and still faces internal-build and open-tool substitution risk.
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Opportunity Outlook

Average Implied 5-Year Multiple
3.3x (from 5 most recent analyses)
Reasoning
This is a quality-upgrade case, not a moonshot clinical bet. If hosted contracts make revenue steadier, large accounts expand from tools into program workflows, and platform-derived assets are monetized through partners instead of balance-sheet-heavy development, the business can look more like vertical software with option-rich royalties and less like a mixed biotech story.
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Risk Assessment

Overall Risk Summary
The biggest risk is that Schrödinger remains a respected modeling tool rather than the operating layer for discovery programs. If hosted contracts only change accounting, large pharma builds more workflow in-house, or internal assets fail to monetize through partners, revenue quality improves too slowly for a durable rerating.
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Last Economy Structure

AI Industrial Score
0.55
They control a real workflow layer inside drug discovery teams, and that can get stickier as AI makes design work faster and more collaborative. The risk is that pharma keeps the important data and uses cheaper internal or third-party agents, leaving Schrödinger as a helpful tool instead of the control point.
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Third Party Analyst Consensus

12-Month Price Target
$20.50
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