comps-analysis

Build a comparable company analysis by running the comps-analysis skill with financial data to calculate operating metrics like revenue growth and generate valuation multiples such as EV/Revenue and EV/EBITDA. It outputs a professional-grade Excel spreadsheet for benchmarking public companies.

Yes, you can calculate statistical benchmarks for public company valuation by running this skill with your financial dataset. It computes max, median, 75th percentile, and min values for various operating metrics, formatting the results directly into Excel spreadsheets for peer comparison.

To perform comparable company analysis and identify valuation outliers, you need access to financial data sources containing public company operating metrics. The skill uses pandas to process this input data, calculating growth and margin profiles to benchmark peers and spot anomalies.

Automate comparable company analysis for IPO or funding round pricing by providing your financial data to this Python-based skill. It leverages pandas to process operating metrics and calculate valuation multiples, handling the benchmarking logic to deliver institutional-grade valuation results.

Yes, this comparable company analysis tool requires Excel or similar spreadsheet software to view and manipulate the final output. The skill processes underlying financial data using Python and pandas, then exports the formatted operating metrics and valuation multiples into spreadsheet formats.