Valuing startups presents a multifaceted challenge since conventional financial indicators such as revenues and profit often inadequately reflect their intrinsic worth. Valuation challenges arise in businesses with no earnings, history, or comparable firms, where growth and profitability can be contrasting dimensions, and the risk of failure is very high. The domain of startup valuation encompasses various methodologies specifically tailored to address the nuances of these burgeoning enterprises. Each model has its unique merits and demerits; selecting among various methods is contingent upon many factors, including the stage of the startup, the industry landscape, and the availability and quality of data. Startup valuations frequently entail a fusion of quantitative methodologies alongside qualitative dimensions such as market demand, competitive positioning, and the proficiency of the founding team. The inherently subjective nature of startup valuations explains the considerable variance predicated upon the perspectives of investors and other stakeholders. In this chapter, we discuss the limitations of traditional methodologies, and the suitability of alternative methods specifically conceived in this context. In addition, to refine our understanding of the intricate valuation process of startups, we propose a conceptual model intended to support the fundamental analysis, the selection of models, and the setting of valuation methods.

Valuing Startups: Models and Methods in the Face of Criticalities of Newness

Rupo, Daniela
Primo
;
Centorrino, Giovanna;Naciti, Valeria
Ultimo
2025-01-01

Abstract

Valuing startups presents a multifaceted challenge since conventional financial indicators such as revenues and profit often inadequately reflect their intrinsic worth. Valuation challenges arise in businesses with no earnings, history, or comparable firms, where growth and profitability can be contrasting dimensions, and the risk of failure is very high. The domain of startup valuation encompasses various methodologies specifically tailored to address the nuances of these burgeoning enterprises. Each model has its unique merits and demerits; selecting among various methods is contingent upon many factors, including the stage of the startup, the industry landscape, and the availability and quality of data. Startup valuations frequently entail a fusion of quantitative methodologies alongside qualitative dimensions such as market demand, competitive positioning, and the proficiency of the founding team. The inherently subjective nature of startup valuations explains the considerable variance predicated upon the perspectives of investors and other stakeholders. In this chapter, we discuss the limitations of traditional methodologies, and the suitability of alternative methods specifically conceived in this context. In addition, to refine our understanding of the intricate valuation process of startups, we propose a conceptual model intended to support the fundamental analysis, the selection of models, and the setting of valuation methods.
2025
978-3-031-90880-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3334271
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