comps-analysis

To build a comparable company analysis model, structure an Excel workbook with consistent sheets for operating metrics, valuation multiples, and peer-set distribution stats. Use formula-driven ratios and quartile statistics that reference input cells to enable automatic recalculation and outlier detection.

Valuation multiples and quartile statistics are calculated using Excel formulas that reference hardcoded input cells. This formula-first approach ensures margins, growth rates, and multiples update automatically across the peer set for accurate sector benchmarking.

Yes, MCP financial-data sources like S&P Kensho, FactSet, or Daloopa are prioritized for populating operating metrics. The model falls back to Bloomberg or SEC filings when MCPs are unavailable, ensuring data quality and traceability.

To make an Excel comps model audit-ready, add cell comments to all hardcoded inputs containing exact citations or explicit assumptions. You can also include hyperlinks to source documents to maintain full traceability for IPO pricing or M&A screening tasks.

You should avoid using web search when MCP financial-data sources are available. The model prioritizes structured MCP data from S&P Kensho, FactSet, or Daloopa to maintain consistent time periods and units for public-company valuation tasks.

Comparable company analysis works effectively for IPO pricing, M&A screening, and sector comps. By applying consistent time periods and units across a public peer group, it helps detect outliers and benchmark operating performance accurately.