Orkla ASA (ORKLF) Fair Value & Analysis
Consumer Defensive · US · Market cap $10.4B
Analysis
Orkla ASA (ORKLF) currently trades at $10.65, while our model-based Fair Value estimate is $20.23 — implying the stock looks roughly 90.0% 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
Orkla ASA operates as an industrial investment company within brands and consumer-oriented businesses worldwide. It offers decorative paints, marine coatings, protective coatings, and powder coatings; frozen pizza, condiments, bread toppings, and ready-to-eat meals; bakery, ice cream, and plant-based products; and confectionery, biscuits, and salty snacks. The company also provides branded consumer health products, such as daily nutrition and oral health, wound care, and functional personal care under the Möller's, Jordan, and Salvequick brand names; spices and spice blends, ready-to-eat sweets, breakfast mixes, and other; and cleaning and personal hygiene products, such as detergents, cleaning equipment, and personal care products. In addition, it operates a franchised pizza business; offers paintbrushes, rollers, and other painting project consumables comprising sanding equipment, tape, protective gear, and cleaning products; and health and sports nutrition products. The company w…
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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.