Market research
IBTA Ibotta, Inc.
NYSE USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 1B
- P/E ratio
- Not available
- Analyst target
- 36.5714
- Dividend yield
- Not available
- Beta
- -0.28
Profile
Instrument facts
- Exchange
- NYSE
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Application
- ISIN
- Not available
- Market cap
- 1B
- P/E ratio
- Not available
- Analyst target
- 36.5714
- Dividend yield
- Not available
- Beta
- -0.28
About
About Ibotta, Inc.
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.
Research context
Ibotta, Inc. appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Application
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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