Back to Dashboard
42

VBNK

๐Ÿฆ Financial Services

VersaBank

Conservative #840Aggressive #890Low RiskHigh 89
$16.98+1.07%
Day High$17.05
Day Low$16.69
Volume0.0M
Mkt Cap$542M
52W Low $952W High $17
Market Cap
$535M
P/E Ratio
25.9
Sector avg: 26.8
Rev Growth
7.7%
Sector avg: 13.4%
Earnings Growth
-28.4%
Profit Margin
9.4%
Sector avg: -2.8%
Debt/Equity
0.20

Why This Score

VBNK scores 41.9 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
  • Positive but moderate momentum (30%) โ€” steady appreciation without overheating.
  • High conviction (89/100) โ€” fundamental and ML signals agree on this stock.
Risk Factors
  • Liquidity concern: Limited trading volume or float results in a 25-point penalty for execution risk.

Net penalties of -25.0 points significantly impact the ranking. Without these adjustments, VBNK would rank considerably higher.

Score Breakdown

Overall Score41.9
Fundamental Score61.3
ML Score69.0

Score by Horizon

3 Month
60.7
6 Month
67.8
Primary
1 Year
71.4

Quality Assessment

B
Earnings Grade
Solid fundamentals with minor quality concerns
Quality Flags
High accrual ratio (-257.6%) โ€” earnings quality concern

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%)
100
Advancing
Sentiment (2.5%)
48
Neutral
Analyst (6.4%)
63
Favorable
Tradability (post-hoc)
0
Grade Fvery low volume, very low dollar volume
Base
37.9
SHAP
+2.3
Factors
+0.6
Conviction
+1.2
Final
41.9
Positive adjustment
Negative adjustment
Base blend
Final score

Signal SegmentsComputed from ML features

Fundamental (Valuation, Quality, Growth)44.0
Technical (Momentum, Weinstein, Volatility)89.0
External (Sentiment, Analyst, Macro)53.0
Scores below 50 indicate weakness in that segment relative to the universe.

Data Quality

Score
Features
Confidence
Feature Coverage89%

Growth Estimates

Short-term
+0.4% to +4.8%
Medium-term
+1.5% to +8.2%
Long-term
+2.6% to +11.7%

ML Model Core Features100 trained inputs โ†’ ML Score: 69

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 Score62.5/100
Target Upside-20.3%
Coverage2 analysts
Market Sentiment
Sentiment Score47.5/100
News Volume1 articles
Technical Stage
Weinstein Stage2 โ€” Advancing
12M Momentum+0.3%
6M Momentum+0.5%
Volatility+0.1%
Momentum & Technical
Momentum Acceleration-17.5%
Momentum ConsistencyModerate (0.63)
Relative Strength vs Sector+21.1%
Trend Strength (ADX Proxy)Strong (3.2)
Momentum Quality+0.279
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
7%
Low risk
Sector RevGr Rank
P62
Revenue growth vs Financial Services peers
Sector PE Rank
P21
Valuation vs Financial Services peers
Sector FCF Rank
P85
Free cash flow vs Financial Services peers
Growth Deviation
+0.1ฯƒ
Z-score vs sector median
Stagnation Flag
NO
Not flagged

Analysis Signals

Scoring Factors
Fundamental score of 65 relative to sector peers65/100
Machine learning model ranks this stock at the 71th percentileP71
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: +4.4pt (features align with model priorities)โ€”
Blend: 91% fund (65.1) + 9% ML (70.6) + SHAP(+4.4) = 70.0โ€”
Factor quality: +1.1pt (multi-factor composite)โ€”
Risk assessment: low. Annualized volatility 9.5%Low
Market cap adjustment: -15.0 points ($0.5B market cap)-15.0 pts
Conviction bonus: +2.3pt (conviction=89)โ€”
Risk Factors
Earnings quality grade B: adequate earnings quality with minor concerns. Score adjusted by -8 pointsGrade B
Quality concern: High accrual ratio (-257.6%) โ€” earnings quality concern; CRE concentration risk: regional bank with likely elevated commercial real estate exposure โ€” forward-looking impairment risk not captured by trailing fundamentalsFlag

Sector Peer Comparison(Financial Services โ€” Rank #236 of 356 stocks)

StockScoreP/ERev GrowthMarginMkt Cap
VBNK41.925.97.7%9.4%$535M
CME86.427.29.9%57.5%$112.1B
FHB84.911.83.2%24.2%$3.2B
ACT84.48.92.4%54.6%$6.1B
CINF84.210.711.4%18.9%$25.8B
SEIC82.214.010.7%27.3%$10.1B
TROW79.910.13.1%28.5%$21.1B
QQQX79.710.448.6%257.3%$1.4B
IBOC78.210.67.5%40.1%$4.4B
HWC77.812.2-1.5%24.1%$5.8B
FFIN77.418.811.7%30.7%$4.8B
TRMK77.111.934.8%19.3%$2.7B
NMIH77.07.78.4%55.1%$3.1B
EWBC76.712.74.6%28.3%$16.0B
WSFS76.312.8-3.1%21.1%$3.6B
MCHB76.1N/A123.7%23.2%$3.3B
Sector Average47.526.813.4%-2.8%โ€”

Market Sentimentvia FMP

Analyst Consensus
Buy2 analysts
Buy: 1Hold: 1
Price Target
$13consensus
Low $13Median $13High $13
-23.4% to consensus target

Company Overviewvia FMP

VersaBank, a schedule I chartered bank, provides various banking products and services in Canada. The company offers deposit products, such as guaranteed investment certificates, registered retirement savings plans, daily interest savings accounts, and tax-free savings accounts, as well as deposit insurance products. It also provides lending services, including point of sale financing that involves purchasing loan and lease receivables from finance companies operating in various industries; and commercial banking services comprising commercial real estate, public sector/infrastructure financing, condominium financing, and residential mortgages. The company was formerly known as Pacific & Western Bank of Canada and changed its name to VersaBank in May 2016. VersaBank was incorporated in 1979 and is headquartered in London, Canada.

CEO
Susan Teresa McGovern
Employees
121
Beta
0.95
Industry
Banks - Regional
FMP-Identified Peers

Technical Picturecomputed from daily prices

RSI (14)
65.2
Neutral
Trend
Bullish
10-day vs 50-day MA
From 52W High
-0.6%
High: $17.05
From 52W Low
+99.2%
Low: $8.51
Moving Averages
10-Day
$16.50
Above
20-Day
$16.30
Above
50-Day
$15.60
Above
200-Day
$12.70
Above
60-Day Support
$11.88
60-Day Resistance
$17.05
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
+33.5%
200 SMA Slope (60d)
+11.24%
Rising
Volume Ratio
0.77x
10d avg vs 50d avg
Days in Stage
66
Confidence: 90%

Financial Statementslast 4 quarters via FMP

MetricQ4 2025Q3 2025Q2 2025Q1 2025
Revenue$80M$76M$73M$75M
Gross Profit$34M$30M$29M$27M
Operating Income$10M$9M$12M$11M
Net Income$5M$7M$9M$8M
EPS (Diluted)$0.16$0.20$0.26$0.28
Gross Margin42.3%40.1%40.0%35.6%
Operating Margin12.4%11.5%16.1%14.7%
Net Margin6.5%8.7%11.7%10.8%

Why This Stock

Financial ServicesValuation below sector median (P/E 25.9)

Tradability FilterGrade F โ€” 0/100Score impact: -30.8pt

Low Tradability Warning

This stock has limited trading volume and/or float. Institutional investors may face difficulty entering or exiting positions without significant price impact. A post-hoc penalty has been applied to the composite score (this is not a backtested model factor โ€” it is a practical tradability overlay).

Volume
0
44K avg/day
Dollar Vol
0
$723K/day
Float
0
20M shares
Mkt Cap
0
$535M
Range
0
100% spread
Composite Liquidity Score0/100
FDCBA
very low volumevery low dollar volumelow float

Multi-Year Range Analysis

Sideways: 0/100
YearLowHighRangeStatus
2021$10.30$14.3032.5%Moderate
2022$6.55$12.2560.6%Wide
2023$6.37$11.1054.1%Wide
2024$9.48$18.3863.9%Wide
2025$8.51$15.5758.6%Wide
3-Year Range
97.1%
Narrow Years
0 / 5
Sideways Penalty
None
Free Float
62.0%
Outstanding Shares
32M
Bid-Ask Spread
100.0%
Institutional Tradable
No

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.