W5 Solutions AB (W5) Fair Value & Analysis
Industrials · SE · Market cap 878M SEK
Fair value as of: Jun 24, 2026
Analysis
W5 Solutions AB (W5) currently trades at kr 47.55, while our model-based Fair Value estimate is kr 26.98 — implying the stock looks roughly 43.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).
About the company
W5 Solutions AB (publ) develops and delivers systems and solutions for the defense and civil protection sectors in Sweden. The company offers live fire training defence and security; and live fire training sports and hunting services. It also provides batteries and chargers; gensets; shelters; systems integration; simulation solutions; components and sub-systems, including simulator handles and joysticks, simulator sights and periscopes, dummy ammunition, loading trainer ammunition, displays and monitors, panels, seat replicas, i/o systems, instructor operating stations, and hardware emulators, as well as systems for control loading, motion, and communication. In addition, the company offers support services including training, repair, and maintenance services. W5 Solutions AB (publ) was founded in 1940 and is headquartered in Nacka, Sweden.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is W5 Solutions AB (W5) undervalued?
What is the fair value of W5?
What is the quality score of W5?
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.