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Fevertree Drinks PLC (FQVTY) Fair Value & Analysis

Consumer Defensive · US · Market cap $1.3B

Price$11.19
Fair Value$6.04
Upside-46.0%
Quality92/100
Evidence: High Range $4.56 – $7.52

Fair value as of: Jun 24, 2026

Analysis

Fevertree Drinks PLC (FQVTY) currently trades at $11.19, while our model-based Fair Value estimate is $6.04 — implying the stock looks roughly 46.0% overvalued today. We read business quality at 92/100 (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: high).

About the company

Fevertree Drinks PLC, together with its subsidiaries, engages in the development and sale of mixer drinks in the United Kingdom, the United States, Europe, and internationally. The company offers tonics, soft drinks, non-alcoholic, sodas, gingers, ready to drink, cocktail mixers, and cola and lemonades. It sells its products under the Fever-Tree brand name. The company was formerly known as Fevertree Topco Limited and changed its name to Fevertree Drinks PLC in October 2014. Fevertree Drinks PLC was founded in 2003 and is headquartered in London, United Kingdom.

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Frequently asked questions

Is Fevertree Drinks PLC (FQVTY) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $6.04 versus a price of $11.19 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FQVTY?
Our 21-model fair value for Fevertree Drinks PLC is $6.04 (as of Jun 24, 2026), built from audited fundamentals. The current price is $11.19.
What is the quality score of FQVTY?
Fevertree Drinks PLC has a Quality Score of 92/100, 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.