ZuseScore Methodology

What is ZuseScore?

ZuseScore is the stock evaluation methodology used by StockZuse to evaluate the Business Quality of publicly traded companies using objective financial data.

Rather than relying on analyst ratings, market opinions, or artificial intelligence predictions, ZuseScore applies a consistent set of quantitative metrics and scoring rules to financial information reported by each company.

The purpose of ZuseScore is not to predict a company’s future stock price. It provides a structured and repeatable way to examine measurable financial characteristics of a business.

An Open Methodology

ZuseScore uses an open methodology. The financial metrics, formulas, scoring rules, point allocations, and data used to calculate a ZuseScore are documented.

Unlike a “black box” rating system, ZuseScore is designed so investors can see how each result was calculated.

For every scored metric, StockZuse allows users to review:

• The calculated metric value
• The financial values used in the calculation
• The formula used
• The scoring rule applied
• The points earned and points possible

The StockZuse Help Manual provides the complete scoring thresholds and methodology for each metric.

This allows investors to understand and independently evaluate the methodology rather than simply accepting an unexplained rating.

See the research. See the methodology. Make your own decision.

The 100-Point ZuseScore

The complete ZuseScore methodology consists of 10 financial metrics with a maximum total of 100 points.

The metrics examine different aspects of Business Quality, including revenue growth, cash generation, profitability, return on invested capital, financial leverage, changes in financial performance, and share-count changes.

Some metrics measure a company’s latest financial characteristics. Others compare current results with prior periods to identify changes in those characteristics.

The individual metric Help documents explain each calculation and its complete point scale.

Objective Financial Data

ZuseScore primarily uses financial data reported by public companies to the U.S. Securities and Exchange Commission (SEC).

StockZuse retrieves standardized financial facts reported through SEC XBRL data and uses those values to calculate the individual ZuseScore metrics.

Using reported financial information provides an objective foundation for the methodology and allows the underlying data and calculations to be reviewed.

Market price performance, trading volume, analyst estimates, analyst ratings, and market sentiment are not components of ZuseScore.

Consistent Scoring Rules

Every company is evaluated using the same documented formulas and scoring rules.

Each ZuseScore metric has:

• A defined financial measurement
• A calculation formula
• Defined scoring thresholds
• A maximum number of available points
• Identified financial data requirements

The scoring rules do not change because a company is popular, belongs to a particular market sector, receives favorable analyst coverage, or is the subject of current market news.

This consistency makes the methodology repeatable and allows companies to be evaluated using the same framework.

Composite Result and ZuseScore

When all 10 metrics can be calculated, a company can earn up to 100 points.

However, the financial data needed to calculate every ZuseScore metric may not always be available. Differences in company reporting and available SEC data can prevent one or more metrics from being calculated.

StockZuse does not treat unavailable financial data as though the company failed the metric. Instead, unavailable metrics are excluded from both the points earned and the points possible.

StockZuse therefore uses a Composite Result:

Composite Result = Points Earned / Points Possible

For example:

Composite Result: 71 / 100

means that the company earned 71 points from 100 possible points because all metrics were available.

If only 90 possible points could be evaluated, a Composite Result might instead be:

Composite Result: 64 / 90

The ZuseScore expresses the Composite Result as a percentage of the points that were possible to evaluate:

ZuseScore = Points Earned ÷ Points Possible × 100

This approach prevents missing financial data from automatically reducing a company’s ZuseScore while still making the amount of methodology coverage visible through the Composite Result.

A result based on 100 possible points represents complete coverage of the ZuseScore methodology. A result based on fewer possible points should be considered in the context of that reduced coverage.

Metric Score Details

StockZuse provides a Metric Score Detail for each of the 10 ZuseScore metrics.

The Metric Score Detail shows the information used for that specific company analysis, including:

• The calculated metric value
• Points earned and points possible
• The calculation formula
• Financial values used in the calculation
• Applicable fiscal periods, when relevant
• The scoring rule applied

This provides an analysis-specific audit trail showing how each component of the company’s ZuseScore was produced.

The corresponding Help document provides the broader methodology, including the complete scoring scale for that metric.

What ZuseScore Does Not Measure

ZuseScore intentionally does not attempt to incorporate every factor an investor may consider when evaluating an investment.

For example, ZuseScore does not evaluate:

• Current stock valuation
• Analyst recommendations or price targets
• Management quality
• Competitive advantages
• News or current events
• Macroeconomic forecasts
• Investor sentiment
• Future stock-price predictions

These factors may be relevant to an investment decision, but they are intentionally kept separate from the objective financial measurements used by ZuseScore.

Why doesn’t ZuseScore use the P/E ratio?

ZuseScore does not use the price-to-earnings (P/E) ratio as a scoring metric because appropriate valuation multiples can vary substantially by industry, business model, growth expectations, and market conditions.

A low P/E does not necessarily indicate a financially strong company, just as a high P/E does not necessarily indicate a financially weak company.

Valuation measures such as P/E may still be useful when researching an investment, but valuation remains separate from ZuseScore’s evaluation of Business Quality.

ZuseScore Within the Research Strategy

ZuseScore is the final stage of the StockZuse Research Strategy.

The Research Strategy first uses market leadership and objective stock-screening criteria to identify Company Candidates that may warrant deeper research. ZuseScore then evaluates the Business Quality of those candidates.

This separation is intentional.

Market leadership identifies where to research. Stock screening identifies the individual candidates. ZuseScore evaluates their Business Quality. Valuation remains a separate investor decision.

What a ZuseScore Means

A ZuseScore summarizes the results of the financial metrics that could be evaluated for a company using the available data.

It is not a prediction of future stock performance and is not a buy, sell, or hold recommendation.

A company with strong financial characteristics can still be a poor investment at a particular price. Likewise, factors outside the ZuseScore methodology may materially affect a company’s future performance.

The ZuseScore percentage should always be considered together with the Composite Result, because the Composite Result shows how much of the methodology could actually be evaluated.

ZuseScore is intended to provide another piece of information for the investor’s research—not make the investment decision.

Learn More About Each Metric

Each of the 10 metrics used by ZuseScore has its own Help document explaining:

• What the metric measures
• The formula used
• How StockZuse uses the metric
• The complete ZuseScore point system
• How the result can be interpreted
• The financial data required for the calculation

These documents form part of the Open ZuseScore Methodology and allow investors to examine how every component of a ZuseScore is calculated.

See the research. See the methodology. Make your own decision.

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