Cerillion Plc (CER) Fair Value & Analysis
Technology · GB · Market cap 399M GBX
Fair value as of: Jun 24, 2026
Analysis
Cerillion Plc (CER) currently trades at p11.20, while our model-based Fair Value estimate is p10.92 — implying the stock looks roughly 2.5% 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
Cerillion Plc engages in the provision of software for billing, charging, and customer relationship management to the telecommunications sector in the United Kingdom, Europe, the Middle East and Africa, the Americas, and the Asia Pacific. It operates through three segments: Services, Software, and Other. The company offers Cerillion Unify, a pre-packaged SaaS solution for quad-play CSPs; Cerillion Enterprise for B2B telecom operators; Cerillion Engage for digital-first customer experience; Cerillion Skyline, a SaaS solution for subscription businesses; and Cerillion Metro, a BSS/OSS solution for smart cities. It also provides convergent charging systems, a 3GPP complaint convergent charging and policy management system for online and offline services; Enterprise Product Catalogue, an AI platform for building, launching, and managing various products, services, tariffs, and packages; CRM Plus, an omni-channel CRM solution; and Revenue Manager, a billing and revenue management solutio…
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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.