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Parvus Energy Efficiency Trust PLC (AEET) Fair Value & Analysis

Financial Services · GB · Market cap 21.2M GBX

Pricep0.2420
Fair Valuep0.4800
Upside+98.3%
Quality95/100
Evidence: Low Range p0.2400 – p0.7300

Fair value as of: Jun 26, 2026

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Analysis

Parvus Energy Efficiency Trust PLC (AEET) currently trades at p0.2420, while our model-based Fair Value estimate is p0.4800 — implying the stock looks roughly 98.3% undervalued today. We read business quality at 95/100 (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

Parvus Energy Efficiency Trust PLC, a closed-ended investment company, focuses on investments in small to medium sized energy efficiency projects in the private and public sector in Italy, Spain, Germany, and the United Kingdom. Aquila Energy Efficiency Trust Plc was formerly known as Parvus Energy Efficiency Trust PLC and changed its name to Aquila Energy Efficiency Trust Plc in April 2026. The company was incorporated in 2021 and is based in London, the United Kingdom.

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Frequently asked questions

Is Parvus Energy Efficiency Trust PLC (AEET) undervalued?
As of Jun 26, 2026, our model estimates a fair value of p0.4800 versus a price of p0.2420 — about +98% (undervalued). Model-based estimate, not financial advice.
What is the fair value of AEET?
Our 21-model fair value for Parvus Energy Efficiency Trust PLC is p0.4800 (as of Jun 26, 2026), built from audited fundamentals. The current price is p0.2420.
What is the quality score of AEET?
Parvus Energy Efficiency Trust 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.