DCF Valuation Modeler

SkillAI & models

Discounted Cash Flow model builder for comprehensive company valuations with WACC calculation, terminal value estimation, and sensitivity analysis

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the DCF Valuation Modeler skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/finance-accounting/skills/dcf-valuation-modeler/SKILL.md and read by ahel’s review.

Overview

The DCF Valuation Modeler skill provides comprehensive Discounted Cash Flow analysis capabilities for company valuations. It combines free cash flow projections with weighted average cost of capital (WACC) calculations and terminal value estimation to produce robust enterprise valuations.

Capabilities

Free Cash Flow Projection

  • Revenue and expense forecasting models
  • Working capital requirement projections
  • Capital expenditure modeling
  • Depreciation and amortization schedules
  • Tax effect calculations
  • Unlevered free cash flow computation

WACC Calculation

  • Cost of equity via Capital Asset Pricing Model (CAPM)
  • Cost of debt determination with tax shield
  • Capital structure weighting
  • Beta estimation and adjustment
  • Risk-free rate selection
  • Equity risk premium calculation

Terminal Value Estimation

  • Perpetuity growth method implementation
  • Exit multiple methodology
  • Terminal value reasonability checks
  • Fade period modeling
  • Long-term growth rate validation

Sensitivity Analysis

  • Two-variable sensitivity tables
  • Tornado chart generation
  • Key driver identification
  • Break-even analysis
  • Scenario comparison matrices

Monte Carlo Simulation

  • Probability distribution assignment
  • Correlation matrix handling
  • Convergence analysis
  • Confidence interval generation
  • Value at Risk integration

Multi-Scenario Analysis

  • Base, bull, and bear case modeling
  • Probability-weighted valuation
  • Scenario documentation
  • Assumption tracking
  • Version control

Usage

Basic DCF Model

Input: Company financials, growth assumptions, discount rate parameters
Process: Project cash flows, calculate WACC, determine terminal value, discount to present
Output: Enterprise value, equity value per share, sensitivity analysis

Valuation with Scenarios

Input: Historical data, management guidance, market conditions
Process: Develop multiple scenarios, probability weight outcomes
Output: Probability-weighted valuation range with confidence intervals

Integration

Used By Processes

  • Discounted Cash Flow (DCF) Valuation
  • Capital Investment Appraisal
  • M&A Financial Due Diligence

Tools and Libraries

  • Excel/Python financial libraries
  • numpy-financial
  • scipy
  • pandas for data manipulation

Best Practices

  1. Validate assumptions against historical performance
  2. Cross-check terminal value against comparable transactions
  3. Ensure WACC inputs are internally consistent
  4. Document all key assumptions and sources
  5. Perform sanity checks on implied multiples
  6. Consider stage-of-cycle adjustments

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
dcf-valuation-modeler
Source
github.com/a5c-ai/babysitter