StockSignal
How to use the screener to identify companies exhibiting structural financial risk signals across multiple dimensions.
The Question
How do I screen for financial risk signals? Risk screening serves a different purpose than screening for quality or growth. Instead of looking for positive characteristics, risk screening identifies structural risk patterns — conditions that suggest a company may be heading toward financial difficulty, margin erosion, or shareholder dilution. The screener captures risk across multiple dimensions, because financial risk rarely appears in just one form.
What Financial Risk Means Structurally
Financial risk is not a single condition but a family of related structural states. A company can face leverage risk (too much debt), liquidity risk (insufficient short-term resources), profitability risk (declining margins), or dilution risk (expanding share count that reduces per-share value). These risks often appear together — a company with declining margins may take on more debt to compensate, which creates leverage risk, which leads to liquidity stress, which leads to share issuance for capital, which creates dilution. The interconnection of these risks makes multi-dimensional screening particularly valuable.
The screener's risk stories capture 14 different warning patterns. Not every risk story signals imminent distress — some identify early-stage deterioration that may reverse. The structural approach helps distinguish isolated risk indicators from systemic risk patterns where multiple indicators converge.
Key Signals
Altman Z-Score
What it measures: A composite measure of financial distress probability, combining working capital, retained earnings, earnings before interest and taxes, market value of equity, and sales — all relative to total assets. Originally developed to predict bankruptcy, the Z-Score provides a single summary metric for overall financial health. Lower scores indicate higher distress probability.
Data source: Calculated from five financial statement ratios combined with market capitalization data.
Share Dilution Ratio
What it measures: The rate at which the total share count is increasing. Share dilution reduces each existing shareholder's proportional ownership and can offset earnings growth when measured on a per-share basis. Persistent dilution indicates that the company is regularly issuing new equity — often to fund operations, acquisitions, or compensate employees.
Data source: Change in diluted share count over time from financial statement data.
Gross Profit Deterioration
What it measures: Declining gross profit margins over time. Gross margin deterioration is a fundamental risk signal because it occurs at the most basic level of the business — the spread between revenue and the direct cost of goods or services. When gross margins decline, it suggests pricing power erosion, input cost increases, or competitive pressure that the company cannot offset.
Data source: Trend analysis of gross profit margin over multiple reporting periods.
Stories That Emerge
Leverage Warning
Constituent signals: Debt-to-Equity Ratio, Debt-to-Assets Ratio, Interest Coverage Collapse
What emerges: When both debt-to-equity and debt-to-assets are elevated and interest coverage is weakening, the company faces structural leverage risk. The combination matters because high leverage alone may be manageable if interest coverage is strong — but when coverage is collapsing alongside high debt levels, the debt burden is becoming increasingly unsustainable.
Limits: Leverage norms vary dramatically by industry. Utilities and banks operate with much higher leverage than technology companies. This story is most informative when compared within industry context or when the leverage change is directionally negative.
Financial Distress Proximity
Constituent signals: Altman Z-Score, Debt-to-Assets Ratio, Interest Coverage Collapse
What emerges: This story identifies companies in the most concerning financial territory — where the composite distress probability (Z-Score) is elevated and individual risk signals confirm the assessment. When the Z-Score indicates distress risk and both leverage and coverage metrics are deteriorating, the company is approaching a structural danger zone where financial flexibility is severely compromised.
Limits: The Altman Z-Score was developed for manufacturing companies and may be less applicable to financial institutions, utilities, or service businesses. Low Z-Scores do not guarantee bankruptcy — they indicate elevated statistical probability. Companies can remain in distress zones for extended periods without failing.
Margin Pressure
Constituent signals: Gross Profit Deterioration, Earnings Compression, Margin Delta
What emerges: When gross profits are deteriorating, earnings are being compressed, and the overall margin trajectory is negative, the company faces fundamental profitability pressure. This story is significant because margin pressure often precedes more severe financial difficulties — declining margins reduce cash generation, which can trigger the leverage and liquidity problems captured by other risk stories.
Limits: Margin pressure can be temporary — driven by input cost spikes, pricing investments for growth, or one-time factors. The story identifies the current pattern without determining whether it is permanent or transient.
Share Dilution Pattern
Constituent signals: Share Dilution Ratio, EPS Dilution Gap, Stock Issuance Intensity
What emerges: When the share count is growing, the gap between basic and diluted EPS is widening, and new stock issuance is intense, existing shareholders are being diluted at a structural level. This pattern often indicates that the company cannot fund its operations or growth from internal cash generation and must rely on equity issuance — a form of silent value transfer from existing to new shareholders.
Limits: Some dilution is normal and expected — stock-based compensation for employees is standard practice. The risk story triggers when dilution reaches levels that meaningfully impact per-share economics, but the threshold between normal and concerning dilution involves judgment that quantitative signals can only approximate.
Using the Screener
Multi-Dimensional Risk Screen
Select Financial Distress Proximity to identify companies in the most structurally concerning financial positions. This is the broadest single risk filter, capturing companies where composite distress metrics and individual leverage signals converge.
To screen for a wider range of risk signals beyond distress, run separate searches with Leverage Warning, Margin Pressure, and Share Dilution Pattern. Each captures a different risk dimension — a company may not be near distress but may still show concerning leverage trends, margin erosion, or dilution patterns.
Risk Exclusion Screen
Risk stories are equally valuable as exclusion filters. When screening for quality, growth, or value, add risk stories as negative filters to exclude companies showing structural risk indicators. For example, when using the Quality Compounder story, exclude companies triggering Margin Pressure or Leverage Warning to focus on quality companies without emerging risk factors.
Boundaries
What This Cannot Tell You
Risk signals identify structural deterioration patterns. They do not predict outcomes. Many companies that trigger risk stories recover — margins stabilize, debt is restructured, dilution slows. The presence of risk signals means elevated probability of difficulty, not certainty of failure.
Risk screening also cannot capture all forms of financial risk. Fraud, sudden regulatory changes, litigation, management malfeasance, and geopolitical events are real risks that leave no signal in financial statement data until after they manifest. Quantitative risk screening is a complement to, not a substitute for, qualitative risk assessment.
These stories also cannot assess whether risk is being adequately compensated by the stock price. A company with significant risk signals may be priced so cheaply that the risk is already reflected — or it may be priced as if everything is fine. Risk and valuation are separate dimensions that require separate analysis.