Pulsar Group (PULS) Fair Value & Analysis
Technology · GB · Market cap 52.2M GBX
Fair value as of: Jun 24, 2026
Analysis
Pulsar Group (PULS) currently trades at p0.3850, while our model-based Fair Value estimate is p0.5300 — implying the stock looks roughly 37.7% undervalued today. We read business quality at 95/100 (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
Pulsar Group plc, together with its subsidiaries, provides software-as-a-service products and services to consumer brands and blue-chip enterprises, marketing agencies, and public sector organizations. The company's solutions include Isentia, a media monitoring and insights solution platform; Pulsar, an audience insights and social listening platform; and Vuelio, which provides monitoring, insight, engagement and evaluation tools for enterprises, communication agencies, public sector, and not-for-profit organizations. It also offers ResponseSource, a network that connects journalists and influencers to the PR and communications industry. It operates in the United Kingdom, North America, rest of Europe, Australia, New Zealand, Asia, and internationally. The company was formerly known as Access Intelligence Plc and changed its name to Pulsar Group plc in May 2024. Pulsar Group plc was incorporated in 2003 and is headquartered in London, the United Kingdom.
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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.