MGP Ingredients, Inc (MGPI) Fair Value & Analysis
Consumer Defensive · US · Market cap $351M
Fair value as of: Jun 25, 2026
Analysis
MGP Ingredients, Inc (MGPI) currently trades at $16.76, while our model-based Fair Value estimate is $26.04 — implying the stock looks roughly 55.4% 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: medium) — always confirm before acting.
About the company
MGP Ingredients, Inc. produces and supplies distilled spirits, branded spirits, and food ingredients worldwide. It operates in three segments: Distillery Solutions, Branded Spirits, and Ingredient Solutions. The Distillery Solutions segment processes corn and other grains, including rye, barley, wheat, barley malt, and milo into food grade alcohol and distillery co-products, such as dried distillers' grain; and offers food-grade alcohol for beverage applications, that include bourbon, rye, and other whiskeys, as well as grain neutral spirits, including vodka and gin. This segment also offers warehouse services, including barrel put away, barrel storage, and barrel retrieval services; and blending services. The Branded Spirits segment provides Tequila under the premium plus, ultra-premium, super premium, premium price tiers under the Penelope Bourbon, Yellowstone Bourbon, Rebel Bourbon, Remus Bourbon, Blood Oath Bourbon, Ezra Brooks Bourbon, Minor Case Straight Rye Whiskey, Rossville…
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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.