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Coheris SA (COH) Fair Value & Analysis

Technology · FR · Market cap €65.7M

Price€12.90
Fair Value€9.06
Upside-29.8%
Quality95/100
Evidence: High Range €7.03 – €11.16

Analysis

Coheris SA (COH) currently trades at €12.90, while our model-based Fair Value estimate is €9.06 — implying the stock looks roughly 29.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Coheris SA provides customer relationship management (CRM) and analytical solutions in France and internationally. The company offers AI workplace solutions comprising Sinequa. Sinequa For life sciences, Sinequa For legal, Sinequa For private equity, and Sinequa For manufacturing; customer engagement solutions, including Coheris CRM Solution, marketing automation solution, geomarketing solution, sales force CRM solution, merchandising solution, and last mile logistics; and unified commerce solutions, such as order management system solution, web-to-store solution, digital in-store solution, payment solution, clienteling solution, loyalty programs and promotions, store management, and searchandising and emerchandising. It also provides translation; economic monitoring; risk, fraud and AML/CFT compliance and open source intelligence; and 360 crisis management, safety, and cybersecurity solutions. In addition, the company investigation, tactical surveillance, forensics, mobile laborato…

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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.