Market research
TOST Toast Inc
NYSE USD Technology
Latest close
As of 29 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 18B
- P/E ratio
- 40.03
- Analyst target
- 38.8519
- Dividend yield
- Not available
- Beta
- 1.74
Profile
Instrument facts
- Exchange
- NYSE
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Infrastructure
- ISIN
- Not available
- Market cap
- 18B
- P/E ratio
- 40.03
- Analyst target
- 38.8519
- Dividend yield
- Not available
- Beta
- 1.74
About
About Toast Inc
Toast, Inc. operates a cloud-based digital technology platform for the restaurant industry in the United States, Ireland, India, and internationally. It offers a platform of software-as-a-service for restaurant operations and point of sale, such as Toast POS; Toast IQ, a conversational artificial intelligence; vendor management; multi-location management; kitchen display system; online ordering and delivery. It offers payroll and team management; inventory and supply chain tools; xtraCHEF by toast, a set of back-office tools for restaurants, including accounts payable automation, inventory management, ingredient price tracking, and recipe costing; financial technology solutions, including integrated payment processing, and restaurant-grade hardware. The company was formerly known as Opti Systems, Inc. and changed its name to Toast, Inc. in May 2012. Toast, Inc. was incorporated in 2011 and is headquartered in Boston, Massachusetts.
Research context
Toast 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 - Infrastructure
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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