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Quantitative valuation of startups

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Valuing growth-stage startups is complex due to limited historical data and volatile growth dynamics. This thesis examines three quantitative methods - Venture Capital Method, Damodaran Discounted Cashflow Method, and First Chicago Method - using Too Good To Go as a case study. It provides step-by-step applications, comparative analyses, and sensitivity assessments, culminating in a balanced approach that addresses startup-specific risks. By integrating academic rigor with practical insights, this study offers actionable frameworks for practitioners and students to navigate the unique challenges of startup valuation, enhancing their understanding of applying theoretical models in uncertain and dynamic environments.

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Startup valuation Discounted cashflow Venture capital First Chicago Method Discount rates Survival probabilities Monte Carlo Simulation Risk adjustment

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Licença CC