Innovation Beverage Group (IBG) Fair Value & Analysis
Consumer Defensive · US · Market cap $2.1M
Fair value as of: Jun 24, 2026
Analysis
Innovation Beverage Group (IBG) currently trades at $1.13, while our model-based Fair Value estimate is $7.93 — implying the stock looks roughly 601.8% undervalued today. We read business quality at 92/100 (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: low) — always confirm before acting.
About the company
Innovation Beverage Group, together with its subsidiaries, engages in developing, manufacturing, selling, and exporting alcoholic beverages in Australia and the United States. The company offers bitters under the Australian Bitters Company and BitterTales brands; bottled cocktails under the Twisted Shaker brand; light spirits; and mixers. It also provides non-alcoholic beverages; non-alcoholic spirits under the Drummerboy brands; and other alcoholic beverages under the Australis Gin, VOCO, Cheeky Vodka, Coventry Estate Gin, and Geo Liqueurs brands. In addition, the company retails wines and spirits, as well as its other products, through its online marketplaces consisting of www.wiredforwine.com, www.bevmart.com, www.bevmart.com.au, and www.drummerboy.com. The company was formerly known as Australian Boutique Spirits PTY LTD and changed its name to Innovation Beverage Group Limited in June 2022. Innovation Beverage Group was incorporated in 2018 and is based in Seven Hills, Australia.
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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.