SpyBara
Go Premium

use-cases/dcf-model.md 2026-07-08 02:01 UTC to 2026-07-14 17:03 UTC

53 added, 119 removed.

2026
Tue 14 17:03 Wed 8 02:01 Mon 6 22:58

name: Model a DCF valuation tagline: Turn financial inputs into an editable valuation workbook. summary: Attach historical financials, valuation assumptions, and modeling notes, then ask ChatGPT for an editable DCF workbook you can inspect and revise in ChatGPT. skills:

  • token: $spreadsheets description: Create editable spreadsheet workbooks from attached inputs, formulas, and assumptions. bestFor:

  • Analysts turning historical financials and assumptions into a DCF workbook.

  • Finance teams that want to inspect and iterate on the workbook in ChatGPT.

  • Teams preparing a valuation model from source files. starterPrompt: title: Model a DCF valuation body: >- Use $spreadsheets to build a DCF workbook for the company in the attached source files.

    Include explicit operating drivers for revenue growth, margins, capex, and working capital. Calculate unlevered free cash flow, WACC, terminal value, and enterprise value. If capital structure and diluted share count are provided, bridge to implied equity value and implied equity value per share.

    Use any assumptions included in the source files. If an assumption is missing, add a clearly labeled placeholder in the assumptions tab instead of hiding it in a formula. If full balance sheet or cash-flow statement inputs are missing, create the operating forecast needed for unlevered free cash flow and flag the missing statement inputs.

    Generate the result as an editable .xlsx workbook. suggestedEffort: medium relatedLinks:

  • label: Agent skills url: /codex/build-skills

  • label: File inputs url: /api/docs/guides/file-inputs

Introduction

ChatGPT can help you create a fully functional DCF workbook that you can inspect and revise.

It can use multiple files as context, including the historical financials, valuation assumptions, and any modeling notes. You can provide these files directly, or use file references when the inputs live in Google Drive or another connected source. If so, provide the exact file references, as it will be more effective than asking ChatGPT to search through all of your files.

Create the workbook

  1. Attach the historical financials, valuation assumptions, and any modeling notes, or provide exact file references along with the source.
  2. Run the starter prompt and ask for an editable .xlsx workbook.
  3. Open the generated workbook in ChatGPT. Expand it into the full-screen view to inspect the model tabs, formulas, assumptions, and valuation summary.
  4. Continue in the same task to check formula links, change assumptions, add scenarios, or tighten the model.

When the workbook appears in the task, open it and expand it full-screen. Review the source inputs, forecast drivers, valuation outputs, and sensitivity tables, then ask ChatGPT to revise the same workbook from there.

Check the valuation

Before using the workbook, ask ChatGPT to review the model like a finance teammate would: source tie-outs, formulas, hardcoded assumptions, and valuation outputs.

Revise one assumption

After reviewing the workbook, ask for targeted revisions in the same task. Change one driver at a time so the impact is easy to inspect.