Tesmec S.p.A (TES) Fair Value & Analysis
Industrials · IT · Market cap €196M
Fair value as of: Jun 24, 2026
Analysis
Tesmec S.p.A (TES) currently trades at €0.4080, while our model-based Fair Value estimate is €0.2100 — implying the stock looks roughly 48.5% overvalued today. We read business quality at 94/100 (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
Tesmec S.p.A. designs, manufactures, and sells products, technologies, and integrated solutions for the construction, maintenance, and efficiency of infrastructures related to the transport and distribution of energy, data, and material. It operates through Energy, Trencher, and Railway segments. The company provides stringing solutions, such as digital stringing machines, automatic rope inspection systems, full electric machines, tower erection, OPGW installation and safety on crossing, essential machines, reels, ropes and joints, drum elevators and reel winders, stringing blocks, pivoting array blocks and head boards, bicycles and trolleys, aluminum structures, and overhead tools and accessories, as well as machines for special application; and underground machines, drum elevators and trailers, and tools and accessories. It offers energy automation products comprising protection and monitoring systems; remote control devices; service telecommunications; and smart metering tools. I…
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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.