build-model

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Build a multi-tab Excel financial model

openai By openai schedule Updated 6/2/2026

name: build-model description: Build a multi-tab Excel financial model

Build a comprehensive Excel financial model (.xlsx) for the company named in the user's request. If no ticker or company is provided, ask for one before proceeding.

Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.

This skill gathers all available financial data and builds a multi-tab Excel model saved as reports/{TICKER}_model.xlsx.

Phase 1 — Company Setup

Look up the company by ticker using discover_companies. Capture:

  • company_id
  • latest_calendar_quarter — anchor for all period calculations (see ../data-access.md Section 1.5)
  • latest_fiscal_quarter
  • Firm name for report attribution (default: "Daloopa") — see ../data-access.md Section 4.5

Get current stock price, market cap, shares outstanding, beta, and trading multiples for {TICKER}. Use the 3-step resolution: (1) MCP market data tools if available, (2) web search, (3) sensible defaults (see ../data-access.md Section 2).

Phase 2 — Comprehensive Data Pull

Calculate periods backward from latest_calendar_quarter. Pull as much data as Daloopa has for this company. Target 8-16 quarters.

Income Statement — search and pull all available:

  • Revenue / Net Sales
  • Cost of Revenue / COGS
  • Gross Profit
  • Research & Development
  • Selling, General & Administrative
  • Total Operating Expenses
  • Operating Income
  • Interest Expense / Income
  • Pre-tax Income
  • Tax Expense
  • Net Income
  • Diluted EPS
  • Diluted Shares Outstanding
  • EBITDA (or compute from Op Income + D&A)
  • D&A

Balance Sheet — search and pull all available:

  • Cash and Equivalents
  • Short-term Investments
  • Accounts Receivable
  • Inventory
  • Total Current Assets
  • PP&E (net)
  • Goodwill
  • Total Assets
  • Accounts Payable
  • Short-term Debt
  • Long-term Debt
  • Total Liabilities
  • Total Equity

Cash Flow — search and pull all available:

  • Operating Cash Flow
  • Capital Expenditures
  • Depreciation & Amortization
  • Acquisitions
  • Dividends Paid
  • Share Repurchases
  • Free Cash Flow (compute if not direct)

Segments:

  • Revenue by segment
  • Operating income by segment (if available)

KPIs:

  • All company-specific operating metrics

Guidance:

  • All guidance series and corresponding actuals

Phase 3 — Market Data & Peers

  • Identify 5-8 peers and get their trading multiples using the same 3-step resolution: (1) MCP market data tools, (2) web search, (3) sensible defaults
  • Get risk-free rate using the same 3-step resolution
  • If consensus forward estimates are available (../data-access.md Section 3), include NTM estimates for peers

Phase 4 — Projections

Build forward estimates using the following methodology:

  • Revenue: Start with latest guidance (if available), then decay to long-term growth rate (industry average or historical trend). Apply quarterly seasonality patterns from trailing data.
  • Gross Margin: Mean-revert to trailing 8-quarter average, with adjustment for recent trends or guidance commentary.
  • Operating Expenses: Project as % of revenue, trending toward trailing averages. R&D and SG&A may have different trajectories.
  • CapEx: Project as % of revenue based on trailing 4-8 quarter average and guidance.
  • D&A: Project based on trailing average as % of revenue or PP&E.
  • Tax Rate: Use trailing effective tax rate or guidance.
  • Share Count: Project dilution/buyback based on trailing trends and guidance.
  • Working Capital: Project DSO, DIO, DPO based on trailing averages.

Calculate all quarterly projections, then sum to annual. Project 4-8 quarters forward.

Phase 5 — DCF Inputs

Calculate:

  • WACC: Use CAPM for cost of equity (Rf + Beta × ERP, where ERP = 6.0%). Cost of debt = Interest Expense / Total Debt. WACC = (E/V × Re) + (D/V × Rd × (1 - Tax Rate)).
  • 5-year FCF projections: Annualize from quarterly projections (FCF = Op Cash Flow - CapEx).
  • Terminal Value: Use perpetuity growth at 2.5-3.0%.
  • Sensitivity Matrix: WACC (7 values: -3% to +3% from base) × Terminal Growth (6 values: 1.5% to 4.0%).

Phase 6 — Build Excel Model

Generate the .xlsx file directly using the best available spreadsheet-generation workflow. For Codex, prefer bundled spreadsheet tooling or Python/openpyxl when available. The workbook should:

  1. Create 8 tabs with the following structure:

Tab 1: Income Statement

  • Rows: Revenue, COGS, Gross Profit, R&D, SG&A, Total OpEx, Op Income, Interest, Pre-Tax Income, Tax, Net Income, Diluted EPS, Shares
  • Columns: Historical periods (8-16Q) + Projected periods (4-8Q)
  • Sub-rows: YoY growth %, margin % where applicable
  • Header: Company name, ticker, report date
  • Formatting: Numbers with commas/decimals, percentages, bold headers, frozen panes

Tab 2: Balance Sheet

  • Rows: Assets section (Cash, Investments, AR, Inventory, Current Assets, PP&E, Goodwill, Total Assets), Liabilities section (AP, ST Debt, LT Debt, Total Liabilities, Equity)
  • Columns: Historical + Projected periods
  • Sub-rows: % of Total Assets for key line items
  • Same formatting standards

Tab 3: Cash Flow

  • Rows: Op Cash Flow, CapEx, Free Cash Flow, Acquisitions, Dividends, Buybacks, Net Change in Cash
  • Columns: Historical + Projected periods
  • Sub-rows: FCF yield %, CapEx as % Revenue
  • Same formatting standards

Tab 4: Segments

  • Rows: Revenue by segment, Op Income by segment (if available)
  • Columns: Historical + Projected periods
  • Sub-rows: Segment as % of total, segment growth rates
  • Same formatting standards

Tab 5: KPIs

  • Rows: All company-specific operating metrics discovered
  • Columns: Historical + Projected periods
  • Sub-rows: YoY growth or relevant unit economics
  • Same formatting standards

Tab 6: Projections

  • Editable assumption inputs (yellow highlighting): Revenue growth %, Gross margin %, Op margin %, CapEx % revenue, Tax rate %, Buyback rate QoQ
  • Calculated outputs: Projected P&L, BS, CF driven by assumptions
  • Commentary box explaining methodology
  • Same formatting standards

Tab 7: DCF

  • Inputs: WACC, Terminal Growth, Risk-Free Rate, ERP, Beta, Cost of Debt
  • FCF Projection (5 years annualized)
  • Terminal Value calculation
  • PV calculations
  • Enterprise Value → Equity Value → Implied Share Price
  • Sensitivity table: WACC (rows) × Terminal Growth (cols) showing implied price
  • Color scale: green (upside) to red (downside) vs current price
  • Same formatting standards

Tab 8: Summary

  • Company overview (name, ticker, sector, description)
  • Current market data (price, market cap, shares, beta)
  • Valuation summary: DCF implied price, peer-implied range, current price, upside/downside %
  • Peer trading multiples table
  • Key model outputs: Trailing revenue, Projected revenue growth, Trailing/Projected margins
  • Same formatting standards
  1. Apply ../design-system.md formatting conventions:
  • Number format: $X.Xbn for large numbers, X.X% for percentages, X.Xx for multiples
  • Color palette: Navy #1B2A4A (headers), Steel Blue #4A6FA5 (sub-headers), Gold #C5A55A (highlights), Green #27AE60 (positive), Red #C0392B (negative)
  • Bold headers, frozen top row and left column
  • Yellow fill (#FFEB3B) for editable input cells
  1. Save the workbook as reports/{TICKER}_model.xlsx

Output

Save the generated workbook to reports/{TICKER}_model.xlsx and tell the user:

  • Summary of what tabs were built
  • Key model outputs: trailing revenue, projected revenue growth, implied DCF value, peer-implied range
  • Note that yellow cells in the Projections tab are editable inputs
  • Instruction to open the saved .xlsx file

All financial figures gathered must use Daloopa citation format: $X.XX million

Install via CLI
npx skills add https://github.com/openai/plugins --skill build-model
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