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Fair Oaks Income Limited (FAIR) Fair Value & Analysis

Financial Services · GB · Market cap €241M

Price€0.0396
Fair Value€0.0437
Upside+10.4%
Quality95/100
Evidence: High Range €0.0398 – €0.0516

Fair value as of: Jun 26, 2026

Analysis

Fair Oaks Income Limited (FAIR) currently trades at €0.0396, while our model-based Fair Value estimate is €0.0437 — implying the stock looks roughly 10.4% 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: high) — always confirm before acting.

About the company

Fair Oaks Income Limited is a feeder fund launched and managed by Fair Oaks Capital Limited. The fund invests its entire corpus in FOIF II LP and FOMC III LP. Fair Oaks Income Limited was formed on March 7, 2014 and is domiciled in the Channel Islands.

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Frequently asked questions

Is Fair Oaks Income Limited (FAIR) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.0437 versus a price of €0.0396 — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FAIR?
Our 21-model fair value for Fair Oaks Income Limited is €0.0437 (as of Jun 26, 2026), built from audited fundamentals. The current price is €0.0396.
What is the quality score of FAIR?
Fair Oaks Income Limited 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.