Hansa Investment Company (HAN) Fair Value & Analysis
Financial Services · GB · Market cap 662M GBX
Fair value as of: Jun 26, 2026
Analysis
Hansa Investment Company (HAN) currently trades at p3.28, while our model-based Fair Value estimate is p0.8700 — implying the stock looks roughly 73.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Hansa Investment Company Limited is a closed-ended equity fund of funds launched and managed by Hanseatic Asset Management LBG. The fund is co-managed by Hansa Capital Partners LLP. It invests in public equity markets across the globe. The fund seeks to invest in stocks of companies operating across diversified sectors. It primarily invests in value stocks of companies involved in special situations, with a bias towards small cap companies. The fund also invests through other third party funds. It benchmarks the performance of its portfolios against the FTSE All Share Index and MSCI All Country World & Frontier Markets Index. The fund was previously known as Hansa Trust PLC. Hansa Investment Company Limited was formed in 1912 and is domiciled in the United Kingdom.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Hansa Investment Company (HAN) undervalued?
What is the fair value of HAN?
What is the quality score of HAN?
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.