DCF Valuation Tool

Input Parameters

Ticker

Peer Tickers (Optional, comma-separated) (?)

Enable Comparable Analysis

Base Case Parameters

Enter values or leave blank to use calculated/default values for the base case.

Starting Cash Flow (Millions) (?)

High Growth Rate (%) (?)

Discount Rate (WACC %) (?)

Terminal WACC (%) (?)

Number of Shares (Millions) (?)

High-Growth Period (Years) (?)

High-Growth Phase Model (?)

Sustainable Growth Source (?)

ERP Method (?)

Static Market Risk Premium Override (%) (?)

Risk-Free Rate (%) (?)

Stock Beta (?)

Terminal Value Calculation

Terminal Growth Rate (GGM %) (?)

Terminal Value Method (?)

Use Target D/E for WACC Valuation? (?)

Target D/E Ratio Override (?)

Target Pre-Tax Cost of Debt Override (%) (?)

Provide these if you want to calculate a DDM valuation. If left blank, DDM might not be calculated or will use defaults if available.

Current Annual Dividend/Share Override (?)

Dividend High-Growth Years (?)

Short-Term Dividend Growth Rate (%) (?)

Long-Term Dividend Growth Rate (%) (?)

Define optimistic and pessimistic scenarios by overriding base case parameters. Leave fields blank to use the base case value for that parameter in the scenario.

Optimistic Scenario

High Growth Rate (%)

Discount Rate (WACC %)

Terminal Growth Rate (%)

Pessimistic Scenario

High Growth Rate (%)

Discount Rate (WACC %)

Terminal Growth Rate (%)

Historical Price & Moving Averages

Oscillators & Trend Strength

Perform a calculation to see the summary.

Common-Size Statements for N/A

Perform a calculation to see common-size statements.

Valuation Models for N/A

Perform a calculation to see valuation model details.

Comparable Analysis for N/A

Enter a ticker and calculate to see comparable analysis.

Financial Health & Ratios for N/A

Perform a calculation to see financial health analysis.

Historical Statements & Projections for N/A

Perform a calculation to see historical statements.

Scenarios & Sensitivity for N/A

Perform a calculation to see scenario and sensitivity analysis.

AI-Powered Driver Analysis for N/A

Perform a calculation for a ticker to enable this feature.

Global S&P 500 Driver Analysis

This analysis uses a machine learning model trained on historical data from all S&P 500 companies to find the most powerful universal drivers of stock price changes.

Note: This uses pre-compiled data. To update the data, run the `flask create-panel-data` command from your terminal.

Past Calculations

No past calculations found.