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Manolete Partners Plc (MANOF) Fair Value & Analysis

Industrials · US · Market cap $22.0M

Price$0.4800
Fair Value$0.9100
Upside+89.6%
Quality95/100
Evidence: High Range $0.5600 – $1.20

Fair value as of: Jun 24, 2026

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Analysis

Manolete Partners Plc (MANOF) currently trades at $0.4800, while our model-based Fair Value estimate is $0.9100 — implying the stock looks roughly 89.6% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Manolete Partners Plc operates as an insolvency litigation financing company in the United Kingdom. It is involved in the acquisition and funding of insolvency litigation cases. The company was founded in 2009 and is headquartered in London, the United Kingdom.

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Frequently asked questions

Is Manolete Partners Plc (MANOF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.9100 versus a price of $0.4800 — about +90% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MANOF?
Our 21-model fair value for Manolete Partners Plc is $0.9100 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.4800.
What is the quality score of MANOF?
Manolete Partners 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.