What is RUSH ENTERPRISES INC CLASS A (RUSH-A)'s Q-Score?

StoQuant's Q-Score for RUSH-A is 50.0. 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 RUSH-A stock undervalued according to StoQuant?

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

What is the RUSH-A stock forecast?

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

RUSH ENTERPRISES INC CLASS A (RUSH-A) — AI-Powered Stock Analysis & Research

Analysis updated Sep 23, 2026 — scores and signals refreshed daily.

RUSH ENTERPRISES INC CLASS A (RUSH-A) stock analysis — updated Sep 23, 2026: Q-Score 50/100 — Unrated. AI alpha score, Graham intrinsic value, ML forecast, technicals and insider activity.

Key Quantitative Facts

At-a-Glance Metrics

Sector: Industrials
Q-Score Verdict: Unrated (50.0)

Current Q-Score verdict: Unrated (50.0).

How This Analysis Is Built

StoQuant's analysis of RUSH ENTERPRISES INC CLASS A (RUSH-A) 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

RUSH-A 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 Industrials

Sector Peers & Valuation Comparison

How RUSH ENTERPRISES INC CLASS A stacks up against same-sector peers on market capitalization and alpha scores:

Ticker	Company	Market Cap	Alpha Score
CP	Canadian Pacific Kansas City Ltd.	$76.6B	—
CNI	Canadian National Railway Company	$70.2B	—
RELX	RELX Plc	$59.5B	—
FER	Ferrovial SE	$48.6B	—
WCN	Waste Connections, Inc.	$39.9B	—

Explore Sector Analysis

View all Industrials stocks by valuation and signals →

Key Analysis Points for RUSH ENTERPRISES INC CLASS A

What Drove RUSH-A's Score

RUSH ENTERPRISES INC CLASS A (RUSH-A) does not yet have a scored dimension breakdown. The composite verdict is Unrated (50.0). See Q-Score methodology for how these dimensions are weighted and combined.

What StoQuant Measures for RUSH-A

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

RUSH-A vs CP — comparison
RUSH-A vs CNI — comparison
RUSH-A vs RELX — comparison
RUSH-A vs FER — comparison
RUSH-A vs WCN — comparison
RUSH-A vs TRI — comparison
RUSH-A vs SYM — comparison
RUSH-A vs RYAAY — comparison
RUSH-A vs AER — comparison
RUSH-A vs ULS — comparison
RUSH-A vs ZTO — comparison
RUSH-A vs RTO — 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

Industrials Hub — Top performers and valuation outliers in Industrials

Free Daily Digest: RUSH-A in Your Inbox

Curated Signals for Your Watchlist

Get daily updates on RUSH ENTERPRISES INC CLASS A (RUSH-A): Q-Score changes, insider transactions, forecast shifts, sector rotation, and macroeconomic context. The StoQuant digest curates the most material signals for your watchlist — free, no account required.

Subscribe Now

See a sample digest • Unsubscribe anytime • Privacy policy

About StoQuant

Platform Overview

StoQuant is a quantitative stock research platform powered by AI scoring, fundamental analysis, and institutional-grade signals. 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.

Embed & Share

Share RUSH-A Q-Score Badge

Share this stock's latest Q-Score and alpha score on your website, GitHub README, or blog. The SVG badge auto-updates daily:

<a href="https://stoquant.com/research/RUSH-A"><img src="https://stoquant.com/badge/RUSH-A.svg" alt="RUSH ENTERPRISES INC CLASS A (RUSH-A) Q-Score and Alpha on StoQuant" width="240" height="64" /></a>

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.

Learn More

Full methodology • Terms of use • Contact us.