Jardine Matheson Holdings (JARLF) Fair Value & Analysis
Industrials · US · Market cap $18.5B
Analysis
Jardine Matheson Holdings (JARLF) currently trades at $59.65, while our model-based Fair Value estimate is $63.97 — implying the stock looks roughly 7.2% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Jardine Matheson Holdings Limited operates in motor vehicles and related operations, property investment and development, health and beauty, home furnishings, engineering and construction, and transport businesses in Indonesia, Hong Kong, Macau, Other Southeast Asia, Vietnam, Mainland China, and Rest of the world. It is also involved in providing automotive, financial, transport, and information technology services; heavy equipment distribution, mining contracting and operations; developing, owning, and managing premium and ultra-premium mixed-use and commercial real estate. The company also operates Mannings, Guardian, 7-11, Wellcome, and IKEA retailing businesses; supermarket, health and beauty, convenience, food, home furnishings, and restaurants retails; and invests, manages, and develops property. In addition, it engages in agribusiness business; providing construction and foundation services for building, civil and maritime works; motorcycles and rendering of aftersales servic…
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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.