Abstract
<jats:p>Contemporary geopolitical shocks necessitate a radical reevaluation of financial management tools due to the loss of predictive accuracy in classical models. The relevance of this study stems from the need to adapt methods for assessing corporate resilience to conditions of martial law and the physical destruction of assets. The aim of this article is to justify the transition from rigid discriminant models to the concept of financial resilience. The study is based on a critical analysis of the models by E. Altman and O. Tereshchenko in wartime conditions. The concept of dynamic capabilities and scenario modeling are applied to assess business viability. The main hypothesis is that resilience during wartime is determined not by static capital, but by the speed of transforming assets into liquid form. It has been proven that traditional approaches artificially overestimate the level of resilience by 40-70%. The research methodology includes the calculation of an integral indicator of adaptive resilience using location safety coefficients. An additive function was applied that weights adjusted autonomy, liquidity, and flexibility of operating expenses. As a result of the study, a comparative analysis of the parameters of traditional and adaptive approaches was conducted. A methodology for determining the Survival Period within three scenario trajectories is formulated. An original integrated model adapted to crisis conditions via a system of weighting coefficients is proposed. Criteria for interpreting results to identify the critical state of enterprises are established. An example of a comparative assessment is provided, demonstrating the higher accuracy of the author’s approach. The theoretical significance lies in the evolution of the concept of financial stability from an accounting-based to a dynamic management approach. The practical significance of the study lies in the possibility of applying the model by banking institutions, donors, and management for making decisions regarding lending or relocation. The scientific novelty lies in the introduction of a risk-discounting mechanism for assets depending on the combat zone and the development of a cost flexibility index. Prospects for further research are related to the empirical validation of the model using statistical data from enterprises in various industries and the refinement of weighting coefficients. Article type: theoretical.</jats:p>