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Dianomi plc (DNM) Fair Value & Analysis

Communication Services · GB · Market cap 6.5M GBX

Pricep0.2150
Fair Valuep0.7000
Upside+225.6%
Quality95/100
Evidence: Low Range p0.5500 – p0.8600

Fair value as of: Jun 25, 2026

Analysis

Dianomi plc (DNM) currently trades at p0.2150, while our model-based Fair Value estimate is p0.7000 — implying the stock looks roughly 225.6% 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: low) — always confirm before acting.

About the company

Dianomi plc, together with its subsidiaries, provides native advertising services for the financial services, technology, corporate, and lifestyle sectors in Europe, the Middle East, Africa, the United States, and the Asia Pacific. It also offers business support services. The company was incorporated in 2002 and is headquartered in London, the United Kingdom.

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Frequently asked questions

Is Dianomi plc (DNM) undervalued?
As of Jun 25, 2026, our model estimates a fair value of p0.7000 versus a price of p0.2150 — about +226% (undervalued). Model-based estimate, not financial advice.
What is the fair value of DNM?
Our 21-model fair value for Dianomi plc is p0.7000 (as of Jun 25, 2026), built from audited fundamentals. The current price is p0.2150.
What is the quality score of DNM?
Dianomi 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.