构建申万宏源策略“未来产业定价体系”：敢问梦想价值几何？

Group 1 - The report discusses the failure of traditional DCF models in valuing early-stage technology companies that are now entering the secondary market, highlighting their characteristics such as lack of profitability and high uncertainty [3][11] - A "Future Industry Pricing System" is proposed, which aims to provide standardized and replicable methods for valuing these companies through seven valuation sub-models [3][11] - The seven absolute valuation models include: Real Options Method, Risk-Adjusted Net Present Value (rNPV), Milestone Method, User Value Method, Ecological Niche Valuation Method, and Factor Cost Method, with Relative Valuation Method as the seventh [3][5] Group 2 - The Real Options Method quantifies the value of managerial flexibility in uncertain environments, allowing companies to make investment decisions based on market feedback [3][18] - The rNPV method incorporates a success rate factor to convert the probability distribution of future cash flows into a specific mathematical expectation, particularly useful in the biopharmaceutical sector [3][25] - The Milestone Method segments the long commercial exploration cycle into independent phases, allowing for valuation adjustments based on progress [3][29] Group 3 - The User Value Method estimates a company's overall value by summing the lifetime value of individual users and subtracting customer acquisition costs, particularly applicable in internet and SaaS businesses [3][34] - The Ecological Niche Valuation Method assesses a company's value based on its position within the broader ecosystem, considering factors like connectivity, control, and irreplaceability [3][38] - The Factor Cost Method establishes a valuation floor during capital downturns by evaluating the core production factors of early-stage companies, such as team value and intellectual property [3][43] Group 4 - The report outlines a systematic solution for the "Future Industry Pricing System" in three steps: selecting valuation sub-models for different scenarios, setting pricing weights based on market temperature, and calculating final valuations with adjustments [3][4] - The report provides case studies of SpaceX and OpenAI to demonstrate the application of the proposed valuation methods, showing how different business lines correspond to different sub-models [3][4][3] - For SpaceX, the valuation incorporates its various business lines, while OpenAI's valuation aligns closely with its market valuation, demonstrating the effectiveness of the proposed models [3][4]