The buyer's advisory firm is using subjective adjustments to discount our tech-enabled services business. How do we introduce a quantitative, regression-based valuation model using historical public data to eliminate this subjectivity during price negotiations?

Question

Tyler Smith · Accepted Answer

When a buyer tries to use subjective discounts on your tech-enabled business, you must counter with hard data. Standard valuation multiples are often based on outdated, subjective peer groups. To fight back, you can introduce a quantitative, regression-based model using historical data of publicly listed companies, as outlined in modern valuation insights.

A regression-based model allows you to isolate and quantify the exact impact of specific financial metrics on your enterprise value. Start by using your LTM EBITDA as your core profitability metric. Then, run a regression analysis against public peers to isolate the valuation impact of your superior gross margins, lower capital expenditure needs, and faster growth rate.

By proving that your tech-enabled efficiencies place you in a statistically distinct category, you can mathematically justify a premium multiple. This approach removes the emotional, subjective bargaining from the table.

Present this quantitative model as an objective framework. Show that your assumptions meet all standard statistical diagnostic checks, including linearity and homoscedasticity. When you present an unassailable statistical model, you shift the power dynamic and force the buyer's advisory firm to debate mathematics rather than opinions.