This study aims to determine the partial and simultaneous influence of Capital, Asset, Management, Earnings, Liquidity variables and sensitivity to market risk on Return on Assets (ROA). The approach of this research is quantitative research. The population in this study is banks listed on the Indonesia Stock Exchange for the 2018-2022 period which totals 46 banks. The statistical analysis tool used is in the form of SPSS test tools. The data analysis technique used multiple linear regression tests, classical assumption tests, and hypothesis tests (partial tests, simultaneous tests, determination coefficient tests). The results showed that CAR partially had a significant effect on ROA with t-count > t-table value (4,733 > 1.97591) and a sig value of 0.000 < 0.05. NPLs had a significant effect on ROA with t-count > from t-table values (2,091 > 1.97591) and sig values of 0.038 < 0.05. LDR had a significant effect on ROA with t-count > from t-table values (2.513 > 1.97591) and sig values of 0.13 < 0.05. BOPO had a significant effect on ROA with a t-calculated value of > from the t-table value (-2,073 > 1.97591) and a sig value of 0.025 < 0.05. NPM had a significant effect on ROA with t-count > from t-table values (2,914 > 1.97591) and sig values of 0.32 < 0.05. PDN had a significant effect on ROA with t-calculation > from t-table values (2.035 > 1.97591) and sig values of 0.005 < 0.05. NPM had a significant effect on ROA with t-calculation > from the t-table value (2,914 > 1.97591) with a sig value of 0.32 < 0.05. Simultaneously, CAR, NPL, LDR, BOPO, NPM and PDN have an effect on ROA with an F-count of 27,578 > 2.43 and a sig. 0.000 < 0.05. The results of the determination coefficient test with an R-Square value of 0.768. This shows that CAR, NPL, LDR, BOPO, NPM and PDN are able to affect ROA by 76.8% while the remaining 23.2% are influenced by other factors outside this study. So, the value of F-table 2.43 was obtained.