dcf-model

Build DCF valuation models with WACC, terminal value, and sensitivity analysis.

Updated May 6, 2026
One-click install
npx skills add https://github.com/nvmohinani/financial_services --skill dcf-model-nvmohinani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dcf-model
Source: https://github.com/nvmohinani/financial_services/tree/main/plugins/vertical-plugins/financial-analysis/skills/dcf-model
Command: npx skills add https://github.com/nvmohinani/financial_services --skill dcf-model-nvmohinani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ground users in constructing institutional-quality DCF models for equity valuation, automating data sourcing, forecasting, and valuation calculations to produce ready-to-share Excel outputs.

Core Features & Use Cases

  • Retrieves data from SEC filings and analyst reports to ground inputs
  • Builds cash flow projections, calculates WACC, and performs sensitivity analysis
  • Generates executive-ready Excel models with valuation outputs and summaries
  • Use cases: investment banking, equity research, private equity, and wealth management tasks requiring repeatable, auditable DCF modeling.

Quick Start

Enter the target company, select projection horizon, and run the model to generate a complete DCF analysis with base, bear, and bull scenarios.

Frequently Asked Questions about dcf-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a DCF model for equity valuation with multiple scenarios?

To build a DCF model for equity valuation, you enter a target company and projection horizon to generate cash flow projections, WACC, and terminal value calculations, producing an Excel output with base, bear, and bull scenario analyses.

Can I generate Excel outputs with sensitivity analysis from a DCF valuation?

Yes, you can generate executive-ready Excel outputs from a DCF valuation that include sensitivity analyses and auditable inputs, calculating present-value equity estimates alongside base, bear, and bull scenario summaries for corporate finance tasks.

Does this DCF model retrieve financial data automatically for WACC computation?

Yes, this DCF model retrieves financial data automatically from SEC filings and analyst reports to ground inputs for WACC computation, ensuring forecast accuracy and auditable present-value valuation calculations for equity research.

What's the best way to calculate terminal value for a private equity forecast?

The best way to calculate terminal value for a private equity forecast is using an automated DCF model that projects cash flows, computes WACC, and applies sensitivity analysis to deliver auditable present-value equity outputs in Excel.

Are there limitations to using automated DCF models for wealth management tasks?

Limitations of automated DCF models for wealth management include reliance on retrieved SEC filings and analyst reports for accurate inputs, meaning forecast accuracy depends entirely on the quality of the data grounded in the valuation calculations.