AVITA Medical, Inc (AVHHL) Fair Value & Analysis
Healthcare · US · Market cap $96.3M
Fair value as of: Jun 23, 2026
Analysis
AVITA Medical, Inc (AVHHL) currently trades at $0.6260, while our model-based Fair Value estimate is $1.63 — implying the stock looks roughly 160.4% 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: low) — always confirm before acting.
About the company
AVITA Medical, Inc., together with its subsidiaries, operates as a therapeutic acute wound care company in the United States, Japan, the European Union, Australia, and the United Kingdom. The company's lead product is the RECELL System, a cell harvesting device used for the treatment of thermal burn wounds and full-thickness skin defects, as well as for repigmentation of stable depigmented vitiligo lesions. It also provides RECALL autologous cell harvesting device, which can treat areas of up to 1,920 cm2; RECELL autologous cell harvesting device with ease-of-use, an enhanced ease-of-use device that can treat areas of up to 1,920 cm²; and RECELL GO mini autologous cell harvesting device, a line extension of the RECELL GO system to treat smaller wounds up to 480 cm2, as well as RECELL GO autologous cell harvesting device consisting of RECELL GO processing device, which controls and manages the pressure applied to disaggregate the donor skin cells and controls the incubation time of t…
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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.