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53

TXG

๐Ÿฅ Healthcare

10x Genomics, Inc.

Conservative #487Aggressive #123Moderate RiskModerate 61MLโ†‘ 24pt
$20.14+2.44%
Day High$20.48
Day Low$19.66
Volume0.5M
Mkt Cap$2.6B
52W Low $752W High $24
Market Cap
$2.5B
P/E Ratio
N/A
Rev Growth
5.2%
Sector avg: 161.5%
Earnings Growth
76.2%
Profit Margin
-6.8%
Sector avg: -3292.7%
Debt/Equity
0.20

Why This Score

TXG scores 52.7 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.

Risk Factors
  • Signal divergence: Fundamental and ML signals disagree by a significant margin, reducing confidence.
  • Above-average volatility (17.7%) may not suit conservative risk tolerance.

Minor adjustments (-1.6 points) applied. TXG's rank of #487 primarily reflects its factor profile relative to the conservative weight vector.

Score Breakdown

Overall Score52.7
Fundamental Score45.4
ML Score71.0

Score by Horizon

3 Month
76.8
6 Month
85.8
Primary
1 Year
90.4

Quality Assessment

B
Earnings Grade
Solid fundamentals with minor quality concerns
Quality Flags
High accrual ratio (412.4%) โ€” earnings quality concern

Position Sizing

Suggested Allocation
4.5%
Confidence
high

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%)
64
Positive
Analyst (6.4%)
59
Neutral
Tradability (post-hoc)
94
Grade A
Base
50.6
SHAP
+1.8
Factors
+1.9
Divergence
-1.6
Final
52.7
Positive adjustment
Negative adjustment
Base blend
Final score

Signal SegmentsComputed from ML features

Fundamental (Valuation, Quality, Growth)59.0
Technical (Momentum, Weinstein, Volatility)82.0
External (Sentiment, Analyst, Macro)81.0
Scores below 50 indicate weakness in that segment relative to the universe.

Data Quality

Score
Features
Confidence
Feature Coverage89%

Growth Estimates

Short-term
+14.5% to +21.5%
Medium-term
+22.7% to +33.3%
Long-term
+32.6% to +47.4%

ML Model Core Features100 trained inputs โ†’ ML Score: 71

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 Score59.1/100
Target Upside+8.4%
Coverage22 analysts
Market Sentiment
Sentiment Score64.3/100
News Volume1 articles
Technical Stage
Weinstein Stage2 โ€” Advancing
12M Momentum+0.7%
6M Momentum+0.3%
Volatility+0.2%
Momentum & Technical
Momentum Acceleration+40.2%
Momentum ConsistencyModerate (0.42)
Relative Strength vs Sector+45.1%
Trend Strength (ADX Proxy)Strong (3.9)
Momentum Quality+0.580
Momentum BreadthBroad โœ“
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
9%
Low risk
Sector RevGr Rank
P50
Revenue growth vs Healthcare peers
Sector PE Rank
P22
Valuation vs Healthcare peers
Sector FCF Rank
P81
Free cash flow vs Healthcare peers
Growth Deviation
-0.0ฯƒ
Z-score vs sector median
Stagnation Flag
NO
Not flagged

Analysis Signals

Scoring Factors
Fundamental score of 74 relative to sector peers74/100
Machine learning model ranks this stock at the 98th percentileP98
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: +1.8pt (features align with model priorities)โ€”
Blend: 91% fund (73.9) + 9% ML (95.4) + SHAP(+1.8) = 77.7โ€”
Factor quality: +1.9pt (multi-factor composite)โ€”
Risk assessment: moderate. Annualized volatility 17.7%. Max drawdown 17% (-3.4 pts)Moderate
Market cap adjustment: -4.0 points ($2.4B market cap)-4.0 pts
Divergence penalty: -2.1pt (ML 24pt higher)โ€”
Risk Factors
Earnings quality grade B: adequate earnings quality with minor concerns. Score adjusted by -5 pointsGrade B
Quality concern: High accrual ratio (412.4%) โ€” earnings quality concernFlag

Sector Peer Comparison(Healthcare โ€” Rank #66 of 344 stocks)

StockScoreP/ERev GrowthMarginMkt Cap
TXG52.7N/A5.2%-6.8%$2.5B
INCY89.615.821.2%25.0%$19.6B
GMAB85.613.122.8%36.4%$17.9B
CPRX82.113.723.5%37.6%$3.0B
VRTX78.032.18.9%32.9%$121.8B
ASND75.816.698.0%-31.7%$13.8B
NBIX74.826.521.4%16.7%$13.1B
AMGN73.926.010.0%21.0%$204.8B
ARGX73.535.178.6%38.0%$47.4B
HOLX73.331.11.7%13.8%$16.8B
REGN72.419.41.0%31.4%$80.2B
ISRG72.261.720.5%28.4%$180.9B
EXEL71.615.17.0%33.7%$11.9B
ALKS71.516.5-6.4%23.9%$5.0B
KRYS71.041.4473.0%30.7%$7.9B
HALO70.316.822.4%43.7%$8.2B
Sector Average37.041.9161.5%-3292.7%โ€”

Market Sentimentvia FMP

Analyst Consensus
Hold22 analysts
Buy: 9Hold: 12Sell: 1
Price Target
$20consensus
Low $17Median $20High $22
+0.7% to consensus target

Company Overviewvia FMP

10x Genomics, Inc., a life science technology company, develops and sells instruments, consumables, and software for analyzing biological systems in North America, Europe, the Middle East, Africa, China, and the Asia Pacific. The company provides chromium and chromium connect instruments, microfluidic chips, slides, reagents, and other consumables products. Its single cell solutions runs on its chromium instruments, which include single cell gene expression for measuring gene activity on a cell-by-cell basis; single cell immune profiling for measuring the activity of immune cells and their targets; single cell Assay for Transposase Accessible Chromati (ATAC) for measuring epigenetics comprising the physical organization of DNA; and single cell multiome ATAC + gene expression for measuring the genetic activity and epigenetic programming in the same cells across tens of thousands of cells in a single experiment. The company also provides visium spatial gene expression solution for measuring spatial gene expression patterns across a single tissue sample or gene expression and protein co-detection when combined with immunofluorescence. It serves various academic, government, biopharmaceutical, biotechnology, and other institutions. The company was formerly known as 10X Technologies, Inc. and changed its name to 10x Genomics, Inc. in November 2014. 10x Genomics, Inc. was incorporated in 2012 and is headquartered in Pleasanton, California.

CEO
Serge Saxonov
Employees
1,306
Beta
2.24
Industry
Medical - Healthcare Information Services
FMP-Identified Peers

Technical Picturecomputed from daily prices

RSI (14)
66.6
Neutral
Trend
Bearish
10-day vs 50-day MA
From 52W High
-14.7%
High: $23.56
From 52W Low
+196.2%
Low: $6.78
Moving Averages
10-Day
$19.00
Above
20-Day
$19.10
Above
50-Day
$19.00
Above
200-Day
$14.50
Above
60-Day Support
$15.18
60-Day Resistance
$23.56
Weinstein Stage Analysisbased on 200-day SMA framework
Stage 2 โ€” AdvancingScore: 90/100

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
+38.5%
200 SMA Slope (60d)
+23.64%
Rising
Volume Ratio
1.04x
10d avg vs 50d avg
Days in Stage
92
Confidence: 90%

Financial Statementslast 4 quarters via FMP

MetricQ4 2025Q3 2025Q2 2025Q1 2025
Revenue$166M$149M$173M$155M
Gross Profit$113M$100M$125M$105M
Operating Income$-20M$-32M$30M$-39M
Net Income$-16M$-27M$35M$-34M
EPS (Diluted)$-0.13$-0.22$0.28$-0.28
Gross Margin68.1%67.3%72.3%68.1%
Operating Margin-11.8%-21.6%17.4%-25.4%
Net Margin-9.8%-18.4%20.0%-22.2%

Why This Stock

Healthcare

Tradability FilterGrade A โ€” 94/100Score impact: -21.2pt

Volume
100
2.6M avg/day
Dollar Vol
99
$48M/day
Float
100
113M shares
Mkt Cap
61
$2.5B
Range
100
247% spread
Composite Liquidity Score94/100
FDCBA

Multi-Year Range Analysis

Sideways: 0/100
YearLowHighRangeStatus
2021$128.15$208.9948%Wide
2022$23.81$150.00145.2%Wide
2023$33.79$63.5761.2%Wide
2024$12.95$55.96124.8%Wide
2025$6.78$20.34100%Wide
3-Year Range
161.4%
Narrow Years
0 / 5
Sideways Penalty
None
Free Float
88.4%
Outstanding Shares
128M
Bid-Ask Spread
247.0%
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.