GSBR-1290 is a small molecule commercialized by Structure Therapeutics, with a leading Phase II program in Type 2 Diabetes. According to Globaldata, it is involved in 6 clinical trials, of which 3 were completed, 1 is ongoing, and 2 are planned. GlobalData uses proprietary data and analytics to provide a complete picture of GSBR-1290’s valuation in its risk-adjusted NPV model (rNPV). Buy the model here.

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The revenue for GSBR-1290 is expected to reach an annual total of $82 mn by 2038 in the US based off GlobalData’s Expiry Model. The drug’s revenue forecasts along with estimated costs are used to measure the value of an investment opportunity in that drug, otherwise known as net present value (NPV). Applying the drug’s phase transition success rate to remaining R&D costs and likelihood of approval (LoA) to sales related costs provides a risk-adjusted NPV model (rNPV). The rNPV model is a more conservative valuation measure that accounts for the risk of a drug in clinical development failing to progress.

GSBR-1290 Overview

GSBR-1290 is under development for the treatment of type 2 diabetes and obesity. It is administered through oral route as capsules or tablets. The therapeutic candidate acts as glucagon-like peptide-1 (GLP1) receptor agonist. It is developed based on the Schrodinger artificial intelligence (AI) technology.

Structure Therapeutics Overview

Structure Therapeutics is a health tech company that provides life-changing medicines for patients using advanced computational and structure-based technology. Structure Therapeutics is headquartered in South San Francisco, California, the US.
The operating loss of the company was US$52.6 million in FY2022, compared to an operating loss of US$37.7 million in FY2021. The net loss of the company was US$51.3 million in FY2022, compared to a net loss of US$38.1 million in FY2021.

For a complete picture of GSBR-1290’s valuation, buy the drug’s risk-adjusted NPV model (rNPV) here.

This content was updated on 10 June 2024

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To create this model, GlobalData takes into account factors including patent law, known and projected regulatory approval processes, cash flows, drug margins and company expenses. Combining these data points with GlobalData’s world class analysis creates high value models that companies can use to help in evaluation processes for each drug or company.

The rNPV method integrates the probability of a drug reaching a clinical stage into the cash flow at that time, which provides a more accurate valuation, as it considers the probability that the drug never makes it through the clinical pathway to commercialization. GlobalData’s rNPV model uses proprietary likelihood of approval (LoA) and phase transition success rate (PTSR) data for the indication in the highest development stage, which can be found on GlobalData’s Pharmaceutical Intelligence Center.