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SAIC

💻 Technology

Science Applications International Corporation

Conservative #718Aggressive #880Moderate RiskHigh 100
Market Cap
$4.1B
P/E Ratio
11.3
Sector avg: 87.8
Rev Growth
0.5%
Sector avg: 14.8%
Earnings Growth
-24.1%
Profit Margin
5.0%
Sector avg: -110.0%
Debt/Equity
1.86

Why This Score

SAIC scores 44.7 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
  • Strong profitability: ROE of 24.3% exceeds the 15% quality threshold.
  • Attractively valued at 11.3x earnings, below the market average.
  • High conviction (100/100) — fundamental and ML signals agree on this stock.
Risk Factors
  • Elevated leverage (D/E 1.86) increases financial risk in a rising-rate environment.

Minor adjustments (-0.9 points) applied. SAIC's rank of #718 primarily reflects its factor profile relative to the conservative weight vector.

Score Breakdown

Overall Score44.7
Fundamental Score40.5
ML Score46.0

Score by Horizon

3 Month
60.3
6 Month
67.4
Primary
1 Year
70.9

Quality Assessment

B
Earnings Grade
Solid fundamentals with minor quality concerns

Position Sizing

Suggested Allocation
5%
Confidence
high

Score Composition Waterfall

How each component affects the final score
Backtested Scoring Levers (IC-calibrated from 30y ElasticNet)
Weinstein (12.1%)
50
Basing
Sentiment (2.5%)
48
Neutral
Analyst (6.4%)
60
Neutral
Tradability (post-hoc)
84
Grade A
Base
40.7
SHAP
+1.6
Factors
+0.6
Conviction
+1.9
Final
44.7
Positive adjustment
Negative adjustment
Base blend
Final score

Signal SegmentsComputed from ML features

Fundamental (Valuation, Quality, Growth)46.0
Technical (Momentum, Weinstein, Volatility)47.0
External (Sentiment, Analyst, Macro)77.0
Scores below 50 indicate weakness in that segment relative to the universe.

Data Quality

Score
Features
Confidence
Feature Coverage89%

Growth Estimates

Short-term
-1.5% to +2.6%
Medium-term
-1.7% to +4.5%
Long-term
-2.0% to +6.3%

ML Model Core Features100 trained inputs → ML Score: 46

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 Score59.7/100
Target Upside+26.0%
Coverage18 analysts
Market Sentiment
Sentiment Score48.2/100
News Volume1 articles
Technical Stage
Weinstein Stage1 — Basing
12M Momentum-0.1%
6M Momentum-0.3%
Volatility+0.1%
Momentum & Technical
Momentum Acceleration+14.8%
Momentum ConsistencyModerate (0.43)
Relative Strength vs Sector-14.7%
Trend Strength (ADX Proxy)Weak (1.1)
Momentum Quality-0.080
Momentum BreadthNarrow
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
49%
High risk — cheap + stagnating
Sector RevGr Rank
P21
Revenue growth vs Technology peers
Sector PE Rank
P71
Valuation vs Technology peers
Sector FCF Rank
P87
Free cash flow vs Technology peers
Growth Deviation
-0.2σ
Z-score vs sector median
Stagnation Flag
YES
Below-sector growth + cheap PE
Value trap warning: This stock scores in the top quartile for value trap risk. The combination of below-sector-median revenue growth, low PE, and high free cash flow yield suggests the market is pricing in stagnation. The ML model's sector-relative features (trained on 30 years of data) reduce this stock's score accordingly.

Analysis Signals

Scoring Factors
Fundamental score of 72 relative to sector peers72/100
Machine learning model ranks this stock at the 70th percentileP70
ML model weight reduced to 9% due to macro conditions: market in extended rally phase; yield curve inverted (recession indicator); late-cycle economic indicators detected9% ML weight
SHAP feature alignment: +3.1pt (features align with model priorities)
Blend: 91% fund (71.8) + 9% ML (70.0) + SHAP(+3.1) = 74.7
Factor quality: +1.1pt (multi-factor composite)
Risk assessment: moderate. Annualized volatility 9.7%. Max drawdown 28% (-8.0 pts). Price momentum -11% (-1.2 pts)Moderate
Market cap adjustment: +0.5 points ($4.1B market cap)+0.5 pts
Conviction bonus: +3.6pt (conviction=100)
Risk Factors
Earnings quality grade B: adequate earnings quality with minor concerns. Score adjusted by -8 pointsGrade B
Quality concern: High accrual ratio (-25.6%) — earnings quality concern; High leverage: D/E ratio of 1.9x — elevated balance sheet riskFlag

Sector Peer Comparison(Technology — Rank #162 of 289 stocks)

StockScoreP/ERev GrowthMarginMkt Cap
SAIC44.711.30.5%5.0%$4.1B
MPWR84.891.721.2%81.0%$57.1B
ZM84.218.03.1%21.7%$27.7B
NVDA80.645.2114.2%55.8%$4.5T
CRUS79.719.16.0%17.5%$7.4B
ASML77.848.115.6%29.4%$546.0B
IDCC77.431.8-4.0%48.8%$9.7B
CSCO77.127.65.3%18.0%$303.6B
RMBS75.548.320.7%32.3%$11.0B
DBX75.313.91.9%17.7%$6.4B
FSLR75.017.326.7%30.7%$24.2B
SIMO74.79.210.2%13.8%$4.5B
ADI74.374.116.9%20.6%$165.1B
AAPL72.533.16.4%27.0%$3.9T
OLED72.527.012.4%34.3%$5.9B
AMAT72.336.44.4%24.7%$281.7B
Sector Average47.487.814.8%-110.0%

Market Sentimentvia FMP

No analyst sentiment data available for SAIC.

Why This Stock

TechnologyP/E ratio of 11.3Valuation below sector median (P/E 11.3)

Tradability FilterGrade A — 84/100Score impact: -8.5pt

Volume
87
675K avg/day
Dollar Vol
100
$58M/day
Float
75
45M shares
Mkt Cap
65
$4.1B
Range
87
53% spread
Composite Liquidity Score84/100
FDCBA

Multi-Year Range Analysis

Sideways: 10/100
YearLowHighRangeStatus
2021$77.65$98.9524.1%Narrow
2022$78.10$117.9440.6%Wide
2023$95.43$136.0535.1%Wide
2024$108.90$156.3435.8%Wide
2025$84.16$124.1138.4%Wide
3-Year Range
60%
Narrow Years
1 / 5
Sideways Penalty
None

Growth Projection Adjustment

0.7x dampening
weinstein basing

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
97.2%
Outstanding Shares
46M
Bid-Ask Spread
53.0%
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.