Certara, Inc (CERT) Fair Value & Analysis
Healthcare · US · Market cap $938M
Fair value as of: Jun 24, 2026
Analysis
Certara, Inc (CERT) currently trades at $5.40, while our model-based Fair Value estimate is $9.80 — implying the stock looks roughly 81.5% 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: high) — always confirm before acting.
About the company
Certara, Inc., together with its subsidiaries, provides technology-driven services and software products for biosimulation in drug discovery, preclinical and clinical research, regulatory submissions, and market access in the Americas, Europe, the Middle East, Africa, and Asia Pacific. It offers model-informed drug development solutions; biosimulation solutions to predict pharmacokinetics and pharmacodynamics; Simcyp simulator, a mechanistic biosimulation platform for physiologically based pharmacokinetic simulation; Simcyp Discovery for scientists working on pre-investigational new drug and translational stages; Simcyp Biopharmaceutics for formulation scientists; and Simcyp Secondary Intelligence that integrates toxicology with quantitative analysis of large networks of molecular and functional biological changes. It also provides Phoenix WinNonlin, a platform for non-compartmental analysis; Phoenix cloud that offers a secured and validated Certara Amazon Web Services workspace; Ph…
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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.