What is Skillz Inc. (SKLZ)'s Q-Score?

StoQuant's Q-Score for SKLZ is 46.0. The Q-Score is a composite rating from 0–100 that combines DCF valuation, earnings quality, competitive moat, analyst consensus, ML forecasts, and market sentiment.

Is SKLZ stock undervalued according to StoQuant?

See the full StoQuant analysis to check whether SKLZ is currently undervalued according to Graham intrinsic value estimates.

What is the SKLZ stock forecast?

StoQuant's ML model generates a forecast for SKLZ predicting the probability of outperformance vs. the S&P 500, updated daily. See the detailed forecast page for confidence intervals and named drivers.

Skillz Inc. (SKLZ) — AI-Powered Stock Analysis & Research

Analysis updated Jul 30, 2026 — scores and signals refreshed daily.

Skillz Inc. (SKLZ) stock research. Updated Jul 30, 2026. Q-Score 46/100 — Hold. Fair value, forecast, technicals, and insider activity.

Key Quantitative Facts

At-a-Glance Metrics

Sector: Information Technology
Market Cap: $138M
Current Price: $8.84
52-Week Range: $2.39 – $12.45
Q-Score Verdict: Hold (46.0) grade C
Signal Coverage: 23 signals (19 alt-data)

Current Q-Score verdict: Hold (46.0) (grade C). 23 signals analyzed (19 differentiated alt-data).

How This Analysis Is Built

StoQuant's analysis of Skillz Inc. (SKLZ) is refreshed every trading day. The Q-Score combines discounted cash flow valuation, earnings quality, competitive moat, analyst consensus, ML return forecasts, technical momentum and market sentiment into a single 0–100 composite. Insider transactions from SEC Form 4 filings, the Graham intrinsic value estimate and signal coverage are recomputed as new data arrives, so this page always reflects the latest available information.

Recent Price Action & History

Trading Data & Technical Analysis

SKLZ 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.

Peer Comparison in Information Technology

Sector Peers & Valuation Comparison

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

Ticker	Company	Market Cap	Alpha Score
ALTS	ALT5 Sigma Corporation	$120M	—
ARBE	Arbe Robotics Ltd.	$122M	—
DVLT	Datavault AI Inc.	$124M	—
REKR	Rekor Systems, Inc.	$102M	—
ZEPP	Zepp Health Corporation	$126M	—

Explore Sector Analysis

View all Information Technology stocks by valuation and signals →

Key Analysis Points for Skillz Inc.

What Drove SKLZ's Score

Skillz Inc. (SKLZ) scores Hold (46.0), with no measured dimension below 52. Its highest are analyst consensus at 85, across 2 measured dimensions. See Q-Score methodology for how these dimensions are weighted and combined.

Q-Score dimensions, normalized 0-100
Dimension	Score
analyst consensus	85
technicals	52

Signal Diversity

StoQuant analyzes 23 signals (19 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.

What StoQuant Measures for SKLZ

Core Signals & Metrics

AI Alpha (Gem) Score: Combines 15+ technical signals (momentum, RSI, moving averages) with fundamentals (earnings surprise, growth consistency) and sentiment. 0–100 scale, residualized by sector so peer-relative strength is visible.
Benjamin Graham Intrinsic Value: DCF-based valuation using conservative earnings assumptions and sector-median discount rates. Margin of safety measures distance from intrinsic value to current price.
Composite Q-Score: Blends DCF upside potential, earnings quality (Piotroski F-Score, Altman Z-Score for distress risk), competitive moat score, analyst consensus, and social/news sentiment into one 0–100 verdict.
ML Price Forecasts: Probability estimates using historical price/volume patterns.
Insider & Institutional Flow: Officer and large shareholder transactions from SEC filings (10-K, Form 4), concentration analysis, and transaction patterns over 14/90-day windows. See insider activity methodology.
Sector & Macro Context: Market regime classification (bull/bear/correction), sector rotation, and portfolio context. Same stock signal reads differently across market environments.

Learn StoQuant's Signals & Scoring

Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Q-Score Methodology — How StoQuant combines dimensions: DCF, earnings quality, moat, analyst consensus, ML, sentiment
Portfolio Construction — Building balanced portfolios with StoQuant signals
Diversification & Correlation — Cross-sector allocation and risk-adjusted returns

Compare & Research Tools

Direct Comparisons

SKLZ vs ALTS — comparison
SKLZ vs ARBE — comparison
SKLZ vs DVLT — comparison
SKLZ vs REKR — comparison
SKLZ vs ZEPP — comparison
SKLZ vs VERI — comparison
SKLZ vs WYY — comparison
SKLZ vs DFDV — comparison
SKLZ vs TRT — comparison
SKLZ vs INVE — comparison
SKLZ vs BNAI — comparison
SKLZ vs AMPG — comparison

Broader Research Tools

Stock Screener — Filter 3,600+ stocks by Q-Score, alpha, Graham value, insider flow
ML Stock Forecast — Return probability forecast with confidence intervals and driver analysis
Full Stock Screener — Filter 3,600+ tickers by metrics, find outliers in any category

Sector-Specific Research

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

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About StoQuant

Platform Overview

StoQuant is a quantitative stock research platform powered by AI scoring, fundamental analysis, and IC-weighted signals (live edge on /proof). We cover 3,600+ US-listed equities with daily updates on valuations, earnings quality, insider flow, and ML-based return forecasts. Learn more about us.

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Disclaimer & Methodology

How StoQuant Works

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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