Cardinal Ethanol, LLC (CRDE) Fair Value & Analysis
Basic Materials · US · Market cap $163M
Fair value as of: Jun 25, 2026
Analysis
Cardinal Ethanol, LLC (CRDE) currently trades at $21,500, while our model-based Fair Value estimate is $59,227 — implying the stock looks roughly 175.5% undervalued today. We read business quality at 89/100 (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: medium) — always confirm before acting.
About the company
Cardinal Ethanol, LLC engages in production and sale of fuel-grade ethanol, distiller grains, corn oil, and raw carbon dioxide in the continental United States. The company's ethanol is used as an octane enhancer in fuels; an oxygenated fuel additive for reducing ozone and carbon monoxide emissions; and a non-petroleum-based gasoline substitute. It also offers distillers grains for applications as animal feed supplement for dairy, beef, poultry, and swine industries; corn oil that is used as a feed ingredient, feedstock to produce biodiesel, and for other industrial uses; and carbon dioxide gas. The company markets and distributes its products directly, as well as through third party brokers. It also exports its products. The company was formerly known as Indiana Ethanol, LLC and changed its name to Cardinal Ethanol, LLC in September 2005. Cardinal Ethanol, LLC was incorporated in 2005 and is based in Union City, Indiana.
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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.