Our advisory firm is outperforming our regional peers, but buyers are treating us like a local lifestyle business. How do we use the Ankura quantitative, regression based valuation model to prove that our operating metrics align with larger, publicly traded entities to justify a premium enterprise value?

Question

Tyler Smith · Accepted Answer

Buyers often classify mid market service firms as lifestyle businesses and apply low local market multiples. To break out of this trap, you need to prove your operational efficiency and scale metrics are comparable to institutional platforms.

This is where the Ankura quantitative, regression based valuation model becomes invaluable. Instead of relying on subjective comps from local brokers, the Ankura framework uses a robust dataset of publicly listed companies to analyze how specific financial metrics drive enterprise value.

By feeding your metrics, such as your superior operating margins and low customer acquisition costs, into this regression model, you can objectively show that your operational efficiency matches that of much larger public entities.

To support this quantitative proof, you must back it up with operational reality. Use your V/TO to show your long term scalability and your Accountability Chart to prove you have the structure to handle rapid growth.

When you combine a data driven, regression based valuation with a highly systematized business, you take the subjectivity out of the buyer's hands. You force them to evaluate your company as a high performing platform, justifying a premium multiple that aligns with public market benchmarks.