Origin Enterprises plc (ORENF) Fair Value & Analysis
Basic Materials · US · Market cap $556M
Analysis
Origin Enterprises plc (ORENF) currently trades at $5.18, while our model-based Fair Value estimate is $10.91 — implying the stock looks roughly 110.8% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Origin Enterprises plc provides agronomy services company in Ireland, the United Kingdom, Brazil, Poland, Romania, Latin America, and internationally. It operates through two segments: Agriculture and Living Landscapes. The company provides integrated agronomy and on-farm services comprising agronomy advice, services, and inputs to arable, livestock, and fruit and vegetable growers; and seed, nutrition, biologicals, crop protection products; and digital tools and lab testing. It blends and distributes various fertilizers and nutrition products; and animal feed ingredients. In addition, the company offers a range of consultancy services; inputs and technical solutions in sports turf management, landscaping, and environmental conservation; advice, seeds, irrigation systems, nutrition, protection for sports professionals to protect their turf; line marking paint and equipment, and support for parking and recreation spaces for sports; and ecological and environmental services, such as p…
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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.