Value Analysis of Representative American Industrial Enterprises: Based on DuPont Analysis Method

Abstract

Industrial analysis is a critical approach for evaluating corporate development potential, and DuPont analysis, as a core financial tool, can deeply uncover the driving factors behind corporate profitability. This study focuses on Caterpillar (CAT), Union Pacific Corporation (UNP), and Honeywell International Inc. (HON) in the U.S. industrial sector, selected for their distinct business models (capital-intensive vs. technology-driven) and systemic importance in the XLI ETF (18.7% aggregate weighting). By applying DuPont analysis to their financial data from 2022–2024, it decomposes Return on Equity (ROE) into profit margin, asset turnover, and financial leverage. The analysis reveals stark contrasts: CAT and UNP achieved ROE peaks of 54.08% and 57.53% in 2022, respectively, leveraging high financial leverage and economies of scale, whereas HON maintained stable but lower ROE (32.66%-34.70%) through technological advantages. The results demonstrate that CAT and UNP’s performance was more susceptible to macroeconomic fluctuations, while HON’s margins showed resilience but limited growth potential. Notably, CAT’s asset turnover (0.72–0.79) outperformed UNP’s (0.31–0.39), reflecting operational efficiency differences between heavy machinery and rail transport sectors. Additionally, the study highlights the limitations of DuPont analysis, such as its neglect of non-financial factors (e.g., technological innovation, industry competition) and long-term strategic impacts. Future research should incorporate these indicators with macroeconomic variables to enhance investment decision-making.