Grindrod Limited (GRDLF) Fair Value & Analysis
Industrials · US · Market cap $499M
Analysis
Grindrod Limited (GRDLF) currently trades at $0.7485, while our model-based Fair Value estimate is $1.08 — implying the stock looks roughly 44.3% 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
Grindrod Limited, together with its subsidiaries, engages in the logistics services business in North America, the Middle East, the United Kingdom, Isle of Man, rest of Europe, Singapore, Asia, the Far East, Australia, South Africa, and Rest of Africa. The company operates through Ports and Terminals; Logistics; Group; Private Equity and Property; and Marine Fuels segments. It engages in the bulk terminal activities include receiving, stockpiling, and loading of cargo onto vessels for onward transportation; container handling, transport, warehousing, loading, and offloading; selling and leasing containers; and logistics solutions for the transportation of cargo through road, rail, and sea. The company provides clearing and forwarding of imports and exports, transportation of goods, and ship husbandry services; and various ancillary services, including training, stevedoring, and rentals. In addition, it involves managing and handling port activities; freight services, such as handlin…
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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.