Ricegrowers Limited (SGLLV) Fair Value & Analysis
Consumer Defensive · AU · Market cap A$879M
Analysis
Ricegrowers Limited (SGLLV) currently trades at A$14.26, while our model-based Fair Value estimate is A$19.82 — implying the stock looks roughly 39.0% undervalued today. We read business quality at 89/100 (high quality), in the Consumer Defensive 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
Ricegrowers Limited operates as a rice food company in Australia, New Zealand, the Pacific Islands, Europe, the Middle East, Africa, Asia, and North America. It operates through Rice Pool, International Rice, Rice Food, Riviana Foods, and CopRice segments. The company offers microwave rice, organic brown rice, quinoa blends, specialty black rice, special fried rice, coconut and Mexican style rice, medium and long grain rice, low GI white and brown rice, and fragrant Jasmine rice; snacks, including protein chips, mini bites, brown rice chips, rice cakes, and rice cracker chips; gourmet products, such as bakery, chilled desserts, olives, antipasto and traditional pickled vegetable, condiments and sauces, soups and ready meals, and canned fruit, as well as canned, pouch and frozen vegetables; and animal feed and nutrition products. It also engages in the receipt and storage of paddy rice; milling, manufacture, processing, procurement, distribution, and marketing of rice and related pro…
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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.