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Ebiquity plc (EBQLF) Fair Value & Analysis

Communication Services · US · Market cap $55.6M

Price$0.4000
Fair Value$0.4100
Upside+2.5%
Quality95/100
Evidence: Medium Range $0.3300 – $0.5100

Fair value as of: Jun 24, 2026

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Analysis

Ebiquity plc (EBQLF) currently trades at $0.4000, while our model-based Fair Value estimate is $0.4100 — implying the stock looks roughly 2.5% 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: medium) — always confirm before acting.

About the company

Ebiquity plc, together with its subsidiaries, provides media investment analysis services in the United Kingdom, Ireland, North America, Continental Europe, and the Asia Pacific. It offers media management, media performance, marketing effectiveness, and contract compliance services, as well as supports advertisers to improve the effectiveness and responsibility of their advertising investments. The company was formerly known as Thomson Intermedia plc and changed its name to Ebiquity plc in September 2008. Ebiquity plc was founded in 1997 and is based in London, the United Kingdom.

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Frequently asked questions

Is Ebiquity plc (EBQLF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.4100 versus a price of $0.4000 — about +3% (undervalued). Model-based estimate, not financial advice.
What is the fair value of EBQLF?
Our 21-model fair value for Ebiquity plc is $0.4100 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.4000.
What is the quality score of EBQLF?
Ebiquity plc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.