Desarrollos Especiales de Sistemas de Anclaje, S.A (DESA) Fair Value & Analysis
Industrials · ES · Market cap €35.6M
Fair value as of: Jun 24, 2026
Analysis
Desarrollos Especiales de Sistemas de Anclaje, S.A (DESA) currently trades at €22.40, while our model-based Fair Value estimate is €23.97 — implying the stock looks roughly 7.0% 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: medium) — always confirm before acting.
About the company
Desarrollos Especiales de Sistemas de Anclaje, S.A. manufactures and sells anchors and fixings in Spain and internationally. It offers metallic and chemical anchors; plastic fasteners; foams and applicator guns, putties, MS polymer, silicones, adhesives, and guns, PVC adhesives, and butyl belts; and rivets. The company also offers screws, metric thread screws, and threaded eyelets and hooks; flanges, clamps and tapes, suspension and restraint, rails and accessories, radiators and WC mounts, ribbons and weather strips, and trapdoors. In addition, it provides tools and consumables, and agricultural pruning equipment. The company's products are used for industrial, construction, and agricultural sectors. It offers its products under the Desa, Construsim, Simes, Agrifast, and Salki brand names. Desarrollos Especiales de Sistemas de Anclaje, S.A. was founded in 1950 and is based in Barcelona, Spain.
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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.