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Centiel AG (CNTL) Fair Value & Analysis

Industrials · CH · Market cap CHF 432M

PriceCHF 8.52
Fair ValueCHF 1.65
Upside-80.6%
Quality87/100
Evidence: Medium Range CHF 1.23 – CHF 2.07

Analysis

Centiel AG (CNTL) currently trades at CHF 8.52, while our model-based Fair Value estimate is CHF 1.65 — implying the stock looks roughly 80.6% overvalued today. We read business quality at 87/100 (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: medium).

About the company

Centiel AG designs, manufactures, and supplies power protection solutions for critical installations in Switzerland. Its products include three phase, including modular and standalone; single phase, such as cumuluspower X1, essentialpower X1; and energy storage products. The company also provides UPS Network Management Software that provides a comprehensive solution to optimize the performance of site and improve the management of UPS systems. In addition, it offers solutions, such as containerised UPS solutions, railway, emergency lighting, medical special, and customized solutions. Further, the company provides preventive maintenance, emergency services, site surveys, UPS rental, UPS relocation, battery monitoring and replacement, capacitor and fan replacement, commissioning, factory acceptance tests, and educational training for customers. Additionally, it offers UPS for colocation data centers. Centiel AG was incorporated in 1968 and is headquartered in Lugano, Switzerland.

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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.