the effects of sanctions (the Snapback Mechanism), as one of the tools of international economic pressure, have a significant impact on the financial stability and performance of the Iranian banking system. The activation of this mechanism can weaken the banking system through various channels. Accordingly, given the intensification of sanctions within the Iranian financial system in recent years, the main question is: what impact do sanctions (the Snapback Mechanism) have on the components of banks' balance sheets? The objective of the present study is to examine the effect of sanctions (the Snapback Mechanism) on the balance sheet components of one of Iran's major banks. To this end, this study utilizes the Autoregressive Distributed Lag (ARDL) model and Robust Least Squares (RLS) regression, employing semi-annual data from the balance sheet of one of Iran's major banks between 2015 and 2024 for variables including time deposits, demand deposits, foreign claims, profit and loss, government facilities, non-government facilities, and non-performing loans. The rationale for using this method is to effectively examine and analyze the interactive effects and short- and long-term dynamics across different lags. The results indicate that sanctions and the activation of the Snapback Mechanism lead to a significant decrease in long-term deposits, an increase in the share of demand deposits, growth in government facilities, and ultimately a rise in non-performing loans. Furthermore, the findings suggest that currency restrictions and government financial pressure entail a combination of production stagnation, increased cost of capital, and erosion of public trust in the banking system."