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WERN

🏭 Industrials

Werner Enterprises, Inc.

Conservative #750Aggressive #1136Low Risk
$34.26+4.93%
Day High$34.65
Day Low$32.68
Volume0.9M
Mkt Cap$2.1B
52W Low $2352W High $38
Market Cap
$2.1B
P/E Ratio
N/A
Rev Growth
-1.8%
Sector avg: 19.0%
Earnings Growth
-142.1%
Profit Margin
-0.5%
Sector avg: -48.2%
Debt/Equity
0.55

Why This Score

WERN scores 45.6 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.

Strengths
  • High conviction (95/100) — fundamental and ML signals agree on this stock.

No material penalties applied. WERN ranks #750 based on its factor profile and ML signal alignment.

Score Breakdown

Overall Score45.6
Fundamental Score43.3
ML Score35.0

Score by Horizon

3 Month
48.6
6 Month
54.3
Primary
1 Year
57.2

Quality Assessment

D
Quality Grade
Below average quality — weak profitability or high leverage
1 quality flag detected — see details below. These penalties are already factored into the final score.
Quality Flags
High accrual ratio (-697.4%) — earnings quality concern

Position Sizing

Suggested Allocation
5%
Confidence
medium

Score Composition Waterfall

How each component affects the final score
Backtested Scoring Levers (IC-calibrated from 30y ElasticNet)
Weinstein (12.1%)
100
Advancing
Sentiment (2.5%)
45
Neutral
Analyst (6.4%)
56
Neutral
Tradability (post-hoc)
88
Grade A
Base
41.6
SHAP
+1.6
Factors
+0.4
Conviction
+2.0
Final
45.6
Positive adjustment
Negative adjustment
Base blend
Final score

Factor Breakdown

40AVG
Value50
Quality20
Growth18
Stability74
Investment40

Signal SegmentsComputed from ML features

Fundamental (Valuation, Quality, Growth)39.0
Technical (Momentum, Weinstein, Volatility)74.0
External (Sentiment, Analyst, Macro)75.0
Scores below 50 indicate weakness in that segment relative to the universe.

Data Quality

Score
Features
Confidence
Feature Coverage89%

Growth Estimates

Short-term
-3.9% to +0.4%
Medium-term
-5.5% to +0.9%
Long-term
-7.2% to +1.3%

ML Model Core Features100 trained inputs → ML Score: 35

These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.

Analyst Intelligence
Consensus Score55.6/100
Target Upside+5.3%
Coverage36 analysts
Market Sentiment
Sentiment Score44.5/100
News Volume1 articles
Technical Stage
Weinstein Stage2 — Advancing
12M Momentum+0.0%
6M Momentum+0.2%
Volatility+0.1%
Momentum & Technical
Momentum Acceleration-12.2%
Momentum ConsistencyWeak (0.25)
Relative Strength vs Sector-6.6%
Trend Strength (ADX Proxy)Weak (0.4)
Momentum Quality+0.034
Momentum BreadthBroad ✓
Macro Regime
Bull RegimeYes
High Vol RegimeNo
S&P 500 Return+25.0%
Yield Curve-0.1bp

Sector-Relative AnalysisIn-model features

Value Trap Signal
7%
Low risk
Sector RevGr Rank
P27
Revenue growth vs Industrials peers
Sector PE Rank
P56
Valuation vs Industrials peers
Sector FCF Rank
P17
Free cash flow vs Industrials peers
Growth Deviation
-0.1σ
Z-score vs sector median
Stagnation Flag
NO
Not flagged

Analysis Signals

Scoring Factors
Fundamental score of 43 relative to sector peers43/100
Machine learning ensemble ranks this stock at the 35th percentileP35
Blended score: 80% fundamental (43) + 20% ML (35) = 41.641.6
Risk assessment: low. Low vol 0.1%; Drawdown 16% → 0.0ptLow
Earnings quality grade D: weak earnings quality, multiple concerns. Score adjusted by 0 pointsGrade D
SHAP feature alignment: +1.6pt (features align with model priorities)SHAP
Conviction adj: +2.0pt (conviction=N/A)Conviction
Risk Factors
Quality concern: High accrual ratio (-697.4%) — earnings quality concernFlag

Sector Peer Comparison(Industrials — Rank #75 of 135 stocks)

StockScoreP/ERev GrowthMarginMkt Cap
WERN45.6N/A-1.8%-0.5%$2.1B
FER84.112.27.4%35.3%$52.6B
NDSN77.235.13.8%17.4%$16.2B
OMAB76.420.14.3%32.7%$6.1B
ODFL76.339.8-0.9%20.4%$40.8B
FAST73.142.68.7%15.3%$51.7B
CSX71.526.5-3.1%20.5%$78.9B
WWD71.347.87.3%12.4%$23.0B
LECO71.331.5-4.4%11.6%$15.6B
PCAR71.028.2-4.2%12.4%$65.1B
CTAS70.841.97.7%17.5%$80.3B
RYAAY69.913.03.8%11.6%$36.1B
CPRT69.523.09.7%33.4%$35.6B
FELE69.335.5-2.1%8.9%$4.3B
NSSC68.934.5-3.8%24.7%$1.7B
AEIS68.081.221.4%8.3%$12.3B
Sector Average45.849.919.0%-48.2%

Company Overviewvia FMP

Werner Enterprises, Inc., a transportation and logistics company, engages in transporting truckload shipments of general commodities in interstate and intrastate commerce in the United States, Mexico, and internationally. It operates through Truckload Transportation Services and Werner Logistics segments. The Truckload Transportation Services segment operates medium-to-long-haul van fleet that transports various consumer nondurable products and other commodities in truckload quantities using dry van trailers; the expedited fleet, which offers time-sensitive truckload services using driver teams; regional short-haul fleet that provides comparable truckload van service in the United States; and temperature controlled fleet, which offers truckload services for temperature sensitive products using temperature-controlled trailers. It transports retail store merchandise, consumer products, food and beverage products, and manufactured products. The Werner Logistics segment provides non-asset-based transportation and logistics services, including truck brokerage; logistics management services and solutions; rail transportation through alliances with rail and drayage providers; and residential and commercial deliveries of large or heavy items using liftgate straight truck. As of December 31, 2021, the company had a fleet of 8,340 trucks, which included 8,050 company-operated, as well as 290 owned and operated by independent contractors;27,225 company-owned trailers that comprised dry vans, flatbeds, temperature-controlled, and other trailers; and 55 intermodal drayage trucks. Werner Enterprises, Inc. was founded in 1956 and is headquartered in Omaha, Nebraska.

CEO
Derek J. Leathers
Employees
13,000
Beta
1.07
Industry
Trucking
FMP-Identified Peers

Technical Picturecomputed from daily prices

RSI (14)
37.8
Neutral
Trend
Bullish
10-day vs 50-day MA
From 52W High
-10.9%
High: $38.45
From 52W Low
+48.8%
Low: $23.02
Moving Averages
10-Day
$33.70
Above
20-Day
$34.70
Below
50-Day
$33.10
Above
200-Day
$28.80
Above
60-Day Support
$25.23
60-Day Resistance
$38.45
Weinstein Stage Analysisbased on 200-day SMA framework
Stage 2 — AdvancingScore: 72/100

Stock is in an uptrend above the 200-day moving average. This is the stage where institutional accumulation typically occurs. The 50-day SMA provides support.

Favorable technical position; 50-day SMA acts as support
Price vs 200 SMA
+19%
200 SMA Slope (60d)
+3.04%
Rising
Volume Ratio
1.02x
10d avg vs 50d avg
Days in Stage
58
Confidence: 90%

Financial Statementslast 4 quarters via FMP

MetricQ4 2025Q3 2025Q2 2025Q1 2025
Revenue$738M$771M$753M$712M
Gross Profit$39M$58M$81M$70M
Operating Income$9M$-13M$66M$-6M
Net Income$-28M$-21M$44M$-10M
EPS (Diluted)$-0.46$-0.34$0.72$-0.16
Gross Margin5.3%7.5%10.8%9.8%
Operating Margin1.2%-1.7%8.8%-0.8%
Net Margin-3.8%-2.7%5.9%-1.4%

Why This Stock

IndustrialsValuation below sector median

Tradability FilterGrade A — 88/100Score impact: -10.6pt

Volume
100
1.2M avg/day
Dollar Vol
92
$38M/day
Float
83
59M shares
Mkt Cap
59
$2.1B
Range
94
67% spread
Composite Liquidity Score88/100
FDCBA

Multi-Year Range Analysis

Sideways: 14/100
YearLowHighRangeStatus
2021$42.10$49.7616.7%Narrow
2022$35.84$48.7930.6%Moderate
2023$35.02$50.3135.8%Wide
2024$33.12$42.7125.3%Moderate
2025$23.02$38.6050.6%Wide
3-Year Range
74.4%
Narrow Years
2 / 5
Sideways Penalty
None

Growth Projection Adjustment

0.7x dampening
slight revenue decline

Growth estimates have been dampened based on technical and fundamental signals. This is a post-hoc adjustment to prevent overly optimistic projections for stocks showing declining momentum or deteriorating fundamentals.

Free Float
98.0%
Outstanding Shares
60M
Bid-Ask Spread
67.0%
Institutional Tradable
Yes

Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.