Market research
DAY Dayforce Inc.
NYSE USD Technology
Latest close
As of 05 Mar 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 11B
- P/E ratio
- Not available
- Analyst target
- 69.9091
- Dividend yield
- Not available
- Beta
- 1.17
Profile
Instrument facts
- Exchange
- NYSE
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Application
- ISIN
- Not available
- Market cap
- 11B
- P/E ratio
- Not available
- Analyst target
- 69.9091
- Dividend yield
- Not available
- Beta
- 1.17
About
About Dayforce Inc.
Dayforce, Inc. together with its subsidiaries, operates as a human capital management (HCM) software company in the United States, Canada, Australia, and internationally. The company offers Dayforce, a cloud HCM platform that provides human resources, payroll and tax, workforce management, wallet, benefits, and talent intelligence functionalities; and Powerpay, a cloud HR and payroll solution for the small business market. It also provides payroll and payroll-related services; and professional services for its solutions, which include training and implementation consulting services. In addition, the company is involved in the shipment, rental, maintenance, and sale of payroll time clocks. It sells its solutions through direct sales force and third-party channels. The company was formerly known as Ceridian HCM Holding Inc. and changed its name to Dayforce, Inc. in February 2024. Dayforce, Inc. was founded in 1992 and is headquartered in Minneapolis, Minnesota.
Research context
Dayforce 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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