S4 Capital plc (SCPPF) Fair Value & Analysis
Communication Services · US · Market cap $291M
Fair value as of: Jun 25, 2026
Analysis
S4 Capital plc (SCPPF) currently trades at $0.4370, while our model-based Fair Value estimate is $0.4900 — implying the stock looks roughly 12.1% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
S4 Capital plc, together with its subsidiaries, provides digital advertising, marketing, and technology services in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers contents, campaigns, and assets for paid, social, and earned media, such as digital platforms and apps, as well as brand activations. It also provides campaign management analytics, creative production and ad serving, platform and systems integration, transition, and training and education services. In addition, the company offers digital transformation services in delivering digital product design, engineering, and delivery services. The company has a strategic partnership with Windsurf to create AI development environment. The company is headquartered in London, the United Kingdom.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is S4 Capital plc (SCPPF) undervalued?
What is the fair value of SCPPF?
What is the quality score of SCPPF?
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.