Core Viewpoint - The article discusses the ineffectiveness of traditional DCF models for valuing early-stage technology companies that are not yet profitable and have high uncertainty, proposing a "future industry pricing system" to standardize and replicate valuation methods for such firms [1]. Group 1: Future Industry Pricing Foundation - The foundation of future industry pricing consists of seven valuation sub-models, including absolute valuation models like real options, risk-adjusted NPV, milestone method, user value method, ecological niche valuation, and cost-based valuation, along with a relative valuation model [2]. - Each absolute valuation model has different implicit assumptions about future cash flows, with methods like real options assuming a continuous probability distribution of cash flows over time and space [3]. Group 2: Investor Behavior and Market Dynamics - The article categorizes investors into three types: industrial investors using cost-based methods for valuation during downturns, institutional investors focusing on high-frequency data with rNPV and user value methods, and visionary capitalists valuing long-term potential through real options and ecological niche methods [3]. - The fluctuation in stock prices reflects the varying valuation models employed by different investors, with market dynamics shifting between reality-based and dream-based valuations [3]. Group 3: Future Industry Pricing System Steps - The proposed pricing system involves three steps: selecting conservative, neutral, and optimistic valuation sub-models based on the company's context, setting pricing weights according to market temperature and investor behavior, and calculating the final valuation through weighted averages [4]. - The market temperature is categorized into nine levels, with investor risk appetite influencing the weight assigned to each model, particularly during market extremes [4][10]. Group 4: Case Studies - The article illustrates the application of the pricing system using SpaceX and OpenAI as examples, emphasizing the need for multi-faceted valuation approaches that consider different business lines and their respective life cycles [5][6]. - For SpaceX, the valuation of its Starlink business was anchored at $429.1 billion using comparable valuation methods, while its space computing business was valued at approximately $312.1 billion through real options, and the long-term Mars vision was assessed using cost-based methods [5]. - OpenAI's valuation was calculated using conservative, neutral, and optimistic models, resulting in a final valuation of $780.8 billion, closely aligning with its reported market valuation [6].

Group 1: Valuation Models - The report introduces a "Future Industry Pricing System" to address the limitations of traditional DCF models for early-stage tech companies that are often unprofitable and have high uncertainty[3]. - Seven valuation sub-models are proposed, including Real Options Method, Risk-Adjusted NPV (rNPV), Milestone Method, User Value Method, Ecological Niche Valuation Method, Factor Cost Method, and Relative Valuation Method[3]. - The Real Options Method quantifies the value of management's choices in uncertain environments, treating uncertainty as an asset rather than a liability[14][19]. Group 2: Investor Behavior and Market Dynamics - The report categorizes investors into three types: industrial investors using Factor Cost Method for valuation, institutional investors focusing on high-frequency data with rNPV and User Value Method, and visionary capitalists valuing long-term potential with Real Options and Ecological Niche methods[3]. - Market temperature is divided into nine levels, influencing the weighting of valuation models based on investor sentiment, with optimistic models dominating during market peaks[4]. Group 3: Case Studies - SpaceX's valuation is segmented into three business lines: Starlink valued at $429.1 billion using comparable valuation, space computing at $312.1 billion using Real Options Method, and Mars exploration using Factor Cost Method[4]. - OpenAI's valuation ranges from $400 billion (conservative) to $1.28 trillion (optimistic), with a weighted final valuation of $780.8 billion closely aligning with market estimates[4].

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]