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M.W. Trade SA (MWT) Fair Value & Analysis

Financial Services · PL · Market cap 9.6M PLN

Price3.28 PLN
Fair Value4.89 PLN
Upside+49.1%
Quality91/100
Evidence: Low Range 3.23 PLN – 6.11 PLN

Fair value as of: Jun 26, 2026

Analysis

M.W. Trade SA (MWT) currently trades at 3.28 PLN, while our model-based Fair Value estimate is 4.89 PLN — implying the stock looks roughly 49.1% undervalued today. We read business quality at 91/100 (high quality), in the Financial Services 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: low) — always confirm before acting.

About the company

M.W. Trade SA provides financial products and services for the public sector in Poland. The company operates through financial activities, rental and sale of wagons, and event activities segments. It also engages in the design, manufacture, and servicing of trailers and semi-trailers, specialized vehicle bodies, and vehicle chassis. The company was founded in 2004 and is headquartered in Wroclaw, Poland. M.W. Trade SA operates as a subsidiary of Beyondream Investments Ltd.

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Frequently asked questions

Is M.W. Trade SA (MWT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 4.89 PLN versus a price of 3.28 PLN — about +49% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MWT?
Our 21-model fair value for M.W. Trade SA is 4.89 PLN (as of Jun 26, 2026), built from audited fundamentals. The current price is 3.28 PLN.
What is the quality score of MWT?
M.W. Trade SA 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.