Precia S.A (ALPM) Fair Value & Analysis
Industrials · FR · Market cap €145M
Fair value as of: Jun 24, 2026
Analysis
Precia S.A (ALPM) currently trades at €25.20, while our model-based Fair Value estimate is €44.51 — implying the stock looks roughly 76.6% undervalued today. We read business quality at 90/100 (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: high) — always confirm before acting.
About the company
Precia S.A. provides weighing solutions in France. The company offers industrial weighing scales, comprising crane scales, overhead scales, weighing bars, and pallet trucks. It also offers laboratory weighing balances, postal scales, platform scales, load receptors, pallet weighers, and wall receptors. In addition, the company provides weighing indicators for simple weighing operations, programmable indicators and business software, weight machine displays, and slave displays; access control and driver terminals; weighbridges, weighbridge indicators, and display repeaters for scales; weighbridge and in/out weighing management software " TRUCKFLOW; weighbridge load cells and accessories; on-board weighing; high-capacity checkweighers; process weighing load cells; process weighing indicators for manual and automatic formulation; statistical quality control; belt scales, weighing conveyors, and continuous weighing controllers; automatic bulk scales; weighing indicators; and DATABULK AB…
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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.