FlexQube AB (FLEXQ) Fair Value & Analysis
Industrials · SE · Market cap 406M SEK
Fair value as of: Jun 24, 2026
Analysis
FlexQube AB (FLEXQ) currently trades at kr 24.10, while our model-based Fair Value estimate is kr 13.60 — implying the stock looks roughly 43.6% 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: low).
About the company
FlexQube AB (publ) designs, develops, and sells flexible and robust industrial carts and robots for material handling in the United States, Mexico, Germany, the United Kingdom, and Sweden. It also offers industrial carts; pallet and container, shelf, flow, hanging, mother-daughter, and kit carts and specialized solutions, as well as parts comprising fasteners/hardware, pallet guides, rollers, shelves, standard building blocks, tools, tow bar components, AGV parts, casters, floor brakes, handle bars, springs, and attachments; LiftRunner tugger train; and AGV solutions, a smart and motorized FlexQube cart, as well as AMR System. The company serves automobile industries; construction and agricultural machinery; heavy vehicles, such as buses, trucks, and trains; distribution and warehouse; aerospace; white and consumer goods; energy; medical equipment manufacturing; and defense industries. FlexQube AB (publ) was founded in 2010 and is headquartered in Mölndal, Sweden.
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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.