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WS WeSports Group (WSG) Fair Value & Analysis

Consumer Cyclical · SE · Market cap 1.6B SEK

Pricekr 55.50
Fair Valuekr 37.77
Upside-31.9%
Quality83/100
Evidence: Medium Range kr 28.94 – kr 51.07

Fair value as of: Jun 24, 2026

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Analysis

WS WeSports Group (WSG) currently trades at kr 55.50, while our model-based Fair Value estimate is kr 37.77 — implying the stock looks roughly 31.9% overvalued today. We read business quality at 83/100 (high quality), in the Consumer Cyclical 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: medium).

About the company

WS WeSports Group AB (publ) distributes sports and leisure equipment in Sweden. The company offers various product categories, such as cycling, fitness, running, hockey, football, skiing, and outdoor. It sells its products through internet, physical stores, and distributors. The company was founded in 2019 and is based in Malmö, Sweden.

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Frequently asked questions

Is WS WeSports Group (WSG) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 37.77 versus a price of kr 55.50 — about −32% (overvalued). Model-based estimate, not financial advice.
What is the fair value of WSG?
Our 21-model fair value for WS WeSports Group is kr 37.77 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 55.50.
What is the quality score of WSG?
WS WeSports Group has a Quality Score of 83/100, 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.