Too complex to fail? An empirical analysis of firm complexity and corporate financial distress risk

Purpose – This study examines whether and how structural firm complexity affects corporate financial distress (CFD). Complexity is conceptualized as a multidimensional construct encompassing vertical, functional, occupational, spatial and lifecycle differentiation, grounded in agency-theoretic arguments about coordination and monitoring costs. Design/methodology/approach – The analysis uses a 15-year panel of S&P 500 firms (2007–2021) and estimates OLS models with year- and industry-fixed effects. CFD is proxied by the Altman Z-Score. A novel multidimensional complexity index is constructed alongside the five dimension-specific measures. Findings – Firm complexity is negatively associated with the Altman Z-Score and therefore positively associated with financial distress risk. The relationship holds for the joint index and for each differentiation dimension, and remains stable across all robustness checks, including the extended sample. Effect magnitudes vary by dimension, with functional and occupational differentiation showing the strongest associations. Research limitations/implications – Effect magnitudes vary by dimension, with functional and occupational differentiation showing the strongest associations. Practical implications – Practically, the results caution managers that growth moves such as diversification and international expansion can raise distress risk unless governance and control systems scale with organizational complexity. Originality/value – The paper is the first to model firm complexity as a multidimensional structural construct rather than rely on one-dimensional size or diversification proxies. Methodologically, it extends prior work by refining functional differentiation and adding lifecycle differentiation to form a five-dimensional index. Practically, the results caution managers that growth moves such as diversification and international expansion can raise distress risk unless governance and control systems scale with organizational complexity.