Twist Bioscience Corporation (TWST) Fair Value & Analysis
Healthcare · US · Market cap $4.6B
Analysis
Twist Bioscience Corporation (TWST) currently trades at $85.00, while our model-based Fair Value estimate is $34.18 — implying the stock looks roughly 59.8% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Twist Bioscience Corporation manufactures and sells synthetic DNA-based products. The company offers synthetic genes and gene fragments used in product development for therapeutics, diagnostics, chemicals/materials, food/agriculture, data storage, and various applications within academic research by biotech, pharma, industrial chemical, and agricultural companies, as well as academic labs; Oligo pools used in targeted NGS, CRISPR gene editing, mutagenesis experiments, DNA origami, DNA computing, data storage in DNA, and other applications; and immunoglobulin G proteins for customers focused on the pursuit of drug discovery and development. It also provides NGS tools comprising library preparation kits, human exome kits, and fixed and custom panels, as well as alliance panels used within diagnostic tests for various indications, population genetics research and biomarker discovery, translational research, microbiology, and applied markets research; and methylation detection kits for …
Open the full interactive analysis →
Similar stocks
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.