During the period of 2013-2022, there have been many interesting developments in the football industry in Europe. From accumulation of debt to disregarding the regulatory framework put in place by UEFA, football clubs have changed their capital structures to accommodate their financing needs. There has been previous research that has found a relationship between ownership structure and financial performance, but none that has explored how ownership structure affects debt and liquidity given current circumstances. The scope of this study was to ultimately determine how the capital structure and the liquidity is affected. This is a broad topic and the authors have covered several aspects within the field. However, there have been suggestions on further research regarding how one could go about valuating a football club as most of the football clubs in Europe have private ownership structures. In the end, the sample consists of 8,588 firm-year observations and adapts a longitudinal methodology. The tests carried out consist of OLS regressions as well as a multivariate regression. To be able to compare the different ownership structures, several regressions were made to put each ownership structure as the reference group. The authors of this thesis found that ownership affects debt and liquidity both individually and collectively. Therefore, answering the research question “What is the effect of ownership structure of football clubs in Europe on debt and liquidity?”. Football clubs in Europe have experienced low profitability, but rather high liquidity. The capital structures of said football clubs contain more debt than equity, where equity is negative in some cases. By comparing ownership structures, their effects on both debt and liquidity differentiate. This thesis contributes to already existing literature by contradicting Modigliani and Millers' assumption regarding bankruptcy costs. It also contributes practically to managers, investors, stakeholders, and regulators by providing context to different key financial metrics.