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Ibotta, Inc (IBTA) Fair Value & Analysis

Technology · US · Market cap $715M

Price$30.82
Fair Value$9.04
Upside-70.7%
Quality91/100
Evidence: High Range $8.72 – $9.36

Analysis

Ibotta, Inc (IBTA) currently trades at $30.82, while our model-based Fair Value estimate is $9.04 — implying the stock looks roughly 70.7% overvalued today. We read business quality at 91/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Ibotta, Inc., a technology company, provides digital promotion services to clients in the United States. The company sources digital promotions from its clients primarily consumer packaged goods brands and distributes these promotions to consumers through its network of publishers enabled by Ibotta Performance Network (IPN), a technology platform. It offers promotional services through the IPN, including direct-to-consumer mobile, web, and browser extension properties, as well as third-party publisher properties. The company also provides display ads, tiles, sponsored offers, newsletters, and feature placements. In addition, it offers LiveLift, a set of capabilities designed for brands to drive sales. The company serves consumer packaged goods brands. The company was formerly known as Zing Enterprises, Inc. and changed its name to Ibotta, Inc. in 2012. Ibotta, Inc. was incorporated in 2011 and is headquartered in Denver, Colorado.

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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.