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TFF Group (FRFTF) Fair Value & Analysis

Consumer Cyclical · US · Market cap $379M

Price$17.50
Fair Value$23.84
Upside+36.2%
Quality91/100
Evidence: High Range $19.98 – $30.99

Fair value as of: Jun 24, 2026

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Analysis

TFF Group (FRFTF) currently trades at $17.50, while our model-based Fair Value estimate is $23.84 — implying the stock looks roughly 36.2% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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

TFF Group, together with its subsidiaries, engages in the wine and spirits ageing in the United States, Europe, France, Asia, and internationally. It is involved in the forestry business, wine cooperage, stave milling, whisky and bourbon cooperage, cask making, and stainless-steel vat making. The company also offers wood products for oenology. It serves the wine, bourbon, and whisky markets. The company was formerly known as Tonnellerie François Frères. TFF Group was founded in 1910 and is based in Saint-Romain-en-Viennois, France.

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Frequently asked questions

Is TFF Group (FRFTF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $23.84 versus a price of $17.50 — about +36% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FRFTF?
Our 21-model fair value for TFF Group is $23.84 (as of Jun 24, 2026), built from audited fundamentals. The current price is $17.50.
What is the quality score of FRFTF?
TFF Group has a Quality Score of 91/100, 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.