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Tanfield Group (TAN) Fair Value & Analysis

Financial Services · GB · Market cap 7.4M GBX

Pricep0.0537
Fair Valuep0.0302
Upside-43.7%
Quality95/100
Evidence: Low Range p0.0302 – p0.0302

Fair value as of: Jun 26, 2026

Analysis

Tanfield Group (TAN) currently trades at p0.0537, while our model-based Fair Value estimate is p0.0302 — implying the stock looks roughly 43.7% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

Tanfield Group PLC operates as an investment company in the United Kingdom. The company, through its 49% interest in Snorkel International Holdings LLC, that produces self-propelled, towable, and push-around aerial lifts, including diesel and electric scissor lifts, mast lifts, telescopic boom lifts, and articulating booms. It also, through its 5.76% interest in Smith Electric Vehicles Corp., designs and produces all-electric commercial vehicles for short haul urban fleets. Tanfield Group PLC is based in Newcastle upon Tyne, the United Kingdom.

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Frequently asked questions

Is Tanfield Group (TAN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.0302 versus a price of p0.0537 — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of TAN?
Our 21-model fair value for Tanfield Group is p0.0302 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.0537.
What is the quality score of TAN?
Tanfield Group 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.