The Valuation of Deep-Tech Startups
Roberto Moro-Visconti ()
Additional contact information
Roberto Moro-Visconti: Catholic University of the Sacred Heart
Chapter Chapter 13 in Startup Valuation, 2024, pp 569-594 from Springer
Abstract:
Abstract Valuing deep-tech startups and scaleups requires a nuanced approach, recognizing their potential for significant technological innovation and industry disruption. These ventures, often founded on groundbreaking scientific advancements, face extended development timelines and substantial capital needs. Traditional valuation methods like Discounted Cash Flow (DCF) and market comparables are often insufficient for capturing the full value of these high-risk, high-reward startups. Instead, an integrated approach, considering technological innovation, intellectual property strength, market potential, and team expertise, is not just beneficial but essential. This chapter explores the complexities of deep-tech valuation, providing a framework that investors, entrepreneurs, and policymakers can use to make informed decisions, ultimately fostering the growth and success of these transformative startups and scaleups.
Keywords: Disruptive Innovation; IP strategies; Scalability; Risk reward (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-77469-0_13
Ordering information: This item can be ordered from
http://www.springer.com/9783031774690
DOI: 10.1007/978-3-031-77469-0_13
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().