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Prenetics Global Limited (PRE) Fair Value & Analysis

Consumer Defensive · US · Market cap $346M

Price$19.75
Fair Value$3.53
Upside-82.1%
Quality95/100
Evidence: Low Range $2.33 – $4.42

Fair value as of: Jun 26, 2026

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Analysis

Prenetics Global Limited (PRE) currently trades at $19.75, while our model-based Fair Value estimate is $3.53 — implying the stock looks roughly 82.1% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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

Prenetics Global Limited operates as a consumer health sciences company in the United States and Hong Kong. The company focuses on advancing human health and longevity through science-backed products under the IM8 brand. It also operates a consumer genetic testing brand in CircleDNA leveraging sequencing technology to deliver personalized reports across various categories. The company was founded in 2014 and is headquartered in Quarry Bay, Hong Kong.

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Frequently asked questions

Is Prenetics Global Limited (PRE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $3.53 versus a price of $19.75 — about −82% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PRE?
Our 21-model fair value for Prenetics Global Limited is $3.53 (as of Jun 26, 2026), built from audited fundamentals. The current price is $19.75.
What is the quality score of PRE?
Prenetics Global Limited has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.