Analýza vztahu výkonnosti, růstu a rizika v technologickém sektoru: Co odlišuje vysoce hodnotné od málo hodnotných společností?

The aim of this bachelor's thesis is to identify configurational patterns of fundamental characteristics among technology companies with a primary listing on U.S. stock exchanges across extreme valuation brackets, and to determine which factors most significantly differentiate high and low end valuation companies. The dataset comprises 415 technology companies as of December 4, 2025. The companies were divided into ten valuation brackets using ordinal decile transformation, and configurational analysis was conducted through bar charts and three-dimensional scatter plots with colour coding. The analysis was based on the EV/EBITDA multiple and factors of performance, growth, and risk. The results indicate that differential revenue growth dynamics constitute the primary differentiator between high and low end valuation companies, whereas performance — measured by return on assets (ROA) — enters the configurations as a secondary factor with varying intensity. Supplementary analysis suggests a potential relationship between ROA and valuation level in the shape of an inverted asymmetric "U". The risk factor, measured by beta, does not exhibit a significant effect on valuation level within the configurational patterns.