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TOYA S.A (TOA) Fair Value & Analysis

Industrials · PL · Market cap 637M PLN

Price9.38 PLN
Fair Value21.36 PLN
Upside+127.7%
Quality95/100
Evidence: High Range 12.37 PLN – 26.96 PLN

Analysis

TOYA S.A (TOA) currently trades at 9.38 PLN, while our model-based Fair Value estimate is 21.36 PLN — implying the stock looks roughly 127.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

TOYA S.A. produces and sells hand and power tools, professional gastronomy equipment, and home equipment in Poland and internationally. The company provides battery, electric, combustion, pneumatic, and manual tools, as well as health and safety products; refrigeration equipment, worktables, transport thermoses, fryers, grills, meat mincers and others; tool kits, accessories, and equipment for working in the garage and home workshop; and manual and pneumatic tools for electricians, locksmiths, service technicians, welders, and plumbers, as well as hobbyists. It also offers household appliances; kitchen and bathroom faucets, shower panels, and a selection of linear drains; and hand tools for gardening work, and electrical and battery devices for the care of green areas. The company offers its products under the YATO, STHOR, VOREL, LUND, FALA, and FLO brands. TOYA S.A. was founded in 1990 and is headquartered in Wroclaw, Poland.

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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.