Quadient S.A (QDT) Fair Value & Analysis
Technology · FR · Market cap €414M
Analysis
Quadient S.A (QDT) currently trades at €12.14, while our model-based Fair Value estimate is €26.14 — implying the stock looks roughly 115.3% undervalued today. We read business quality at 97/100 (high quality), in the Technology 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
Quadient S.A. provides digital, mail, and lockers for customers through digital and physical channels in North America, Austria, Benelux, France, Germany, Ireland, Italy, Switzerland, and the United Kingdom, and internationally. It provides open network infrastructure, as well as sells and rents lockers. The company also offers Inspire Evolve, a SaaS customer communication management; Inspire Flex, an enterprise customer communication management; Inspire iForms, enterprise forms automation software; Inspire Journey, a customer journey mapping software; Impress automate, for document preparation; and Impress Distribute, automated document delivery solutions. In addition, it supplies software, equipment, and services for managing incoming and outgoing mails; and provides a hardware and software platform that facilitates invoicing and customer communications, multichannel mail processing, last-mile parcel delivery, and the consolidation of their returns. Further, the company operates a…
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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.