ORIOR AG (ORON) Fair Value & Analysis
Consumer Defensive · CH · Market cap CHF 88.2M
Analysis
ORIOR AG (ORON) currently trades at CHF 14.44, while our model-based Fair Value estimate is CHF 27.96 — implying the stock looks roughly 93.6% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
ORIOR AG, together with its subsidiaries, operates as a food and beverage company in Switzerland. It operates through three segments: ORIOR Convenience, ORIOR Refinement, and ORIOR International. The ORIOR Convenience segment provides fresh convenience products, such as ready-made meals, patés and terrines, fresh pasta, vegetarian and vegan specialties, and cooked poultry and meat products, as well as organic vegetable and fruit juices through retail and food service channels, and specialized retailers. The ORIOR Refinement segment offers refined and processed meat products, including Bündnerfleisch, ham, salami, and Mostbröckli through retail and food service channels. The ORIOR International segment produces ready-made meals and meal components, and organic vegetable juices, as well as operates approximately small food to go islands, and convenience shops. The company offers its products under the myEnergy, Rapelli, Biotta, Ticinella, Albert Spiess, GESA, Vivitz, C-ICE, Happy Vegi…
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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.