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PolyNovo Limited (CALZF) Fair Value & Analysis

Healthcare · US · Market cap $469M

Price$0.6786
Fair Value$0.2200
Upside-67.6%
Quality95/100
Evidence: Medium Range $0.1700 – $0.2800

Analysis

PolyNovo Limited (CALZF) currently trades at $0.6786, while our model-based Fair Value estimate is $0.2200 — implying the stock looks roughly 67.6% 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: medium).

About the company

PolyNovo Limited designs, manufactures, and sells biodegradable medical devices in Australia, New Zealand, the United States, the United Kingdom, Ireland, Singapore, India, and Hong Kong. The company offers NovoSorb Biodegradable Temporising Matrix, a dermal matrix for the regeneration of the dermis when lost through extensive surgery, trauma, or burn. It is also developing hernia devices for hernia repair and solution for ventral hernia and complex abdominal wall reconstruction; Beta Cell implant, a novel intracutaneous ectopic pancreas to treat type 1 diabetes; NovoSorb MTX for single stage grafting in burns, chronic, and surgical wounds; and plastics and reconstructive device products. The company was formerly known as Calzada Limited and changed its name to PolyNovo Limited in November 2014. PolyNovo Limited was incorporated in 1998 and is headquartered in Port Melbourne, Australia.

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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.