InMode Ltd (INMD) Fair Value & Analysis
Healthcare · US · Market cap $828M
Analysis
InMode Ltd (INMD) currently trades at $14.79, while our model-based Fair Value estimate is $26.23 — implying the stock looks roughly 77.3% 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
InMode Ltd. designs, develops, manufactures, and markets minimally invasive aesthetic medical products based on its proprietary radio frequency assisted lipolysis and deep subdermal fractional radiofrequency technologies in the United States, Europe, Asia, and internationally. It offers minimally invasive aesthetic medical products for various procedures, such as liposuction with simultaneous skin tightening, body and face contouring, and ablative skin rejuvenation treatments, as well as for use in women's health conditions and procedures. The company also designs, develops, manufactures, and markets non-invasive medical aesthetic products that target an array of procedures, including permanent hair reduction, facial skin rejuvenation, wrinkle reduction, cellulite treatment, skin appearance and texture, and superficial benign vascular and pigmented lesions. In addition, it offers hands-free medical aesthetic products that target a range of procedures, such as skin tightening, fat re…
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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.