Dayforce Inc (DAY) — AI-Powered Stock Analysis & Research

Quantitative analysis for Dayforce Inc (DAY) — Information Technology: AI-powered alpha score, Benjamin Graham intrinsic value, ML-based forecast, technical and fundamental signals, and insider activity.

Key Quantitative Facts

At-a-Glance Metrics

Current Q-Score verdict: Hold (48.0) (grade C).

Recent Price Action & History

Trading Data & Technical Analysis

DAY stock price is tracked daily for technical and fundamental analysis. The data below shows recent trading activity used in trend analysis, momentum calculation, and entry/exit signals.

DateHighLowClose
2025-09-25$68.90$68.78$68.85
2025-10-07$69.10$68.97$68.99
2025-10-17$68.34$68.20$68.26
2025-10-29$68.45$68.31$68.36
2025-11-10$68.69$68.44$68.60
2025-11-20$69.12$68.84$68.87
2025-12-03$69.20$69.09$69.10
2025-12-15$69.41$69.26$69.29
2025-12-26$69.21$69.08$69.16
2026-01-08$69.47$69.35$69.43
2026-01-21$69.16$69.04$69.10
2026-02-02$69.45$68.89$68.92

Peer Comparison in Information Technology

Sector Peers & Valuation Comparison

How Dayforce Inc stacks up against same-sector peers on market capitalization and alpha scores:

TickerCompanyMarket CapAlpha Score
TSMTaiwan Semiconductor Manufacturing Company Limited$2083.0B
ASMLASML Holding N.V.$597.4B
ARMArm Holdings plc American Depositary Shares$273.2B
SAPSAP SE$209.6B

Explore Sector Analysis

View all Information Technology stocks by valuation and signals →

Key Analysis Points for Dayforce Inc

What Drove DAY's Score

DAY scores Hold (48.0), resting on a single measured dimension: AI Alpha (gem) at 48 out of 100. The remaining dimensions are unmeasured for this ticker rather than weak. See Q-Score methodology for how these dimensions are weighted and combined.

Q-Score dimensions, normalized 0-100
DimensionScore
AI Alpha (gem)48

What StoQuant Measures for DAY

Core Signals & Metrics

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Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Compare & Research Tools

Direct Comparisons

Broader Research Tools

Sector-Specific Research

Information Technology Hub — Top performers and valuation outliers in Information Technology

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Disclaimer & Methodology

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StoQuant research is generated algorithmically using public market data, SEC filings, news feeds, and proprietary ML models. Not investment advice. Past performance does not guarantee future results.

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