HAL Trust, (HALFF) Fair Value & Analysis
Financial Services · US · Market cap $17.0B
Analysis
HAL Trust, (HALFF) currently trades at $184.40, while our model-based Fair Value estimate is $275.65 — implying the stock looks roughly 49.5% undervalued today. We read business quality at 84/100 (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: medium) — always confirm before acting.
About the company
HAL Trust, together with its subsidiaries, operates through multi-sectors in Asia, the Middle East, the Netherlands, the United States, Canada, and internationally. The company offers maritime services; emergency response and salvage-related services; medical aid products and services; furniture and fit-out services; a financial newspaper under the Het Financieele Dagblad; a radio station under the BNR Nieuwsradio; information and data services under the Company.info and Investment & Pensions Europe; and processing, software, and payment solutions for the healthcare sector. It also provides hearing aids; consumer electronics and domestic appliances; energy services under the Coolblue Energy brand; storage and infrastructure solutions; and prescription frames, outdoor eyewear, goggles, and helmets. In addition, the company is involved in the residential construction, utility construction, project development, and renovation activities; manufacturing, fabricating, and selling composit…
Open the full interactive analysis →
Similar stocks
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.