Simulations Plus, Inc (SLP) Fair Value & Analysis
Healthcare · US · Market cap $366M
Fair value as of: Jun 24, 2026
Analysis
Simulations Plus, Inc (SLP) currently trades at $18.15, while our model-based Fair Value estimate is $27.78 — implying the stock looks roughly 53.1% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Simulations Plus, Inc. develops drug discovery and development software for modeling and simulation, and prediction of molecular properties utilizing artificial intelligence and machine learning based technology worldwide. It operates through Software and Services segments. The company offers GastroPlus, which predicts absorption, biopharmaceutics, pharmacokinetics, and pharmacodynamics in humans and animals; and DDDPlus and MembranePlus simulation products. It also provides products based on mechanistic and mathematical models, such as DILIsym, NAFLDsym, ILDsym, IPFsym, RENAsym, MITOsym, OBESITYsym, and Thales products. In addition, the company offers Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) predictor for chemistry-based computer program that takes molecular structures as inputs and predicts their properties; and MedChem Designer, as well as MonolixSuite products for modeling and simulation that allows for population analyses, rapid clinical trial data …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.