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Tern Plc (TERN) Fair Value & Analysis

Financial Services · GB · Market cap 11.8M GBX

Pricep0.0100
Fair Valuep0.0100
Upside+0.0%
Quality92/100
Evidence: Low Range p0.0100 – p0.0100

Fair value as of: Jun 26, 2026

Analysis

Tern Plc (TERN) currently trades at p0.0100, while our model-based Fair Value estimate is p0.0100 — implying the stock looks roughly 0.0% undervalued today. We read business quality at 92/100 (high quality), in the Financial 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

Tern Plc is a venture capital firm specializing in early-stage and growth capital investment. The firm typically invests in the software companies having IoT security, Artificial Intelligence (AI), Machine Learning (ML), Virtual/Augmented Reality (VR/AR) and Data Science, enablement and analytics solutions for the healthcare and industrial sectors. The firm primarily invest in companies based in United Kingdom. Tern Plc was founded on 18 May 2004 and it is based in London, the United Kingdom. Tern Plc formerly known as Silvermere Energy plc.

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Frequently asked questions

Is Tern Plc (TERN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.0100 versus a price of p0.0100 — about +0% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TERN?
Our 21-model fair value for Tern Plc is p0.0100 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.0100.
What is the quality score of TERN?
Tern Plc has a Quality Score of 92/100, 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.