Navigating Valuation Complexity: The Role of Start-Up Valuation Techniques in Venture Capital Investment Stages

Abstract: This paper analyses how start-up valuation techniques affect a venture capitalist's funding decision at different investment stages in the Delhi NCR region. The quantitative and qualitative data have been used to evaluate the different valuation methods, namely Comparable Company Analysis, Precedent Transactions, and Discounted Cash Flow, which occur while funding high growth-startups. The study also identifies two key issues facing venture capitalists: market volatility and limited data availability on historical experience, thereby subjective growth projections. Together, these increase the intricacy of valuation, meaning their decisions also become subjective. Studies of various regression tests and other statistics show a minor yet substantial correlation between better valuation accuracy and funding potential; hence, improved valuation models could result in better investment results. The findings of this study highlight the need for a better valuation methodology, a demand that would help foster informed, sustainable funding decisions and better support the start-up ecosystem. Keywords: Start-up Valuation, Venture Capital, Funding Decisions, Investment Stages, Valuation Methods, High-Growth Start-ups JEL Classification Number: G24, M13

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.17361899
Primary Topic
Diverse Scientific and Economic Studies
Type
article
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article

Navigating Valuation Complexity: The Role of Start-Up Valuation Techniques in Venture Capital Investment Stages

Zenodo (CERN European Organization for Nuclear Research)
Diverse Scientific and Economic Studies
article

Navigating Valuation Complexity: The Role of Start-Up Valuation Techniques in Venture Capital Investment Stages

article en

Abstract

Abstract: This paper analyses how start-up valuation techniques affect a venture capitalist's funding decision at different investment stages in the Delhi NCR region. The quantitative and qualitative data have been used to evaluate the different valuation methods, namely Comparable Company Analysis, Precedent Transactions, and Discounted Cash Flow, which occur while funding high growth-startups. The study also identifies two key issues facing venture capitalists: market volatility and limited data availability on historical experience, thereby subjective growth projections. Together, these increase the intricacy of valuation, meaning their decisions also become subjective. Studies of various regression tests and other statistics show a minor yet substantial correlation between better valuation accuracy and funding potential; hence, improved valuation models could result in better investment results. The findings of this study highlight the need for a better valuation methodology, a demand that would help foster informed, sustainable funding decisions and better support the start-up ecosystem. Keywords: Start-up Valuation, Venture Capital, Funding Decisions, Investment Stages, Valuation Methods, High-Growth Start-ups JEL Classification Number: G24, M13

Zenodo (CERN European Organization for Nuclear Research)
Dayalbagh Educational Institute (IN), Invertis University (IN)
Openalex Percentile: Top 32%
Diverse Scientific and Economic Studies
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