Public company comps tool
Matrix Terminal is built for teams that need a fast, practical way to assemble public-company comparable sets and work through relative valuation without turning the homepage into a brochure. You can move from a broad market universe to a tighter peer set, rank names by the metrics that matter, and review compact outputs that are useful in real internal discussions.
What a comps workflow should do
A useful public comps tool should help you narrow a universe, check scale and profitability side by side, and compare valuation without forcing a rigid template too early. Matrix Terminal supports that workflow with ranked views, distributions, scatter plots, and compact tables so you can see both the summary and the shape of the peer group.
Where teams use it
Investors use public comps to frame valuation ranges, strategy teams use them to benchmark positioning, and operators use them to understand where a company sits versus a visible market set. The same core task shows up in board prep, corp dev screens, market mapping, and valuation sanity checks.
What you can compare quickly
- Market cap, enterprise value, revenue, and EBITDA
- Growth, gross margin, operating margin, and Rule of 40
- EV/Revenue, EV/EBITDA, and other visible valuation signals
- Compact comparable-company tables for discussion and export
Designed for iterative peer set refinement
Good comps work is usually iterative rather than one-and-done. You may start with a sector screen, remove obvious outliers, compare operating profiles, and tighten the set as the framing gets clearer. That is why Matrix Terminal emphasizes fast filtering and direct comparison instead of forcing the entire workflow into a single report page.
FAQ
Is this page separate from the actual product?
No. This page explains the use case, but the actual workflow lives in the main Matrix Terminal tool, which stays the first experience on the homepage.
Can it support both valuation work and benchmarking work?
Yes. Public comps often overlap with peer benchmarking, so the same dataset can be used to evaluate valuation ranges, operating profile differences, and relative market positioning.