The conditionally essential amino acid arginine and its metabolic products play an important role in different biological processes, such as metabolic regulation of the immune response, including macrophage activation and polarization and regulation of T cell function. Furthermore, the polyamine spermidine has a role in aging and age-related diseases. Additionally, altered polyamine metabolism may be associated with neurodegenerative diseases, while polyamine levels may present useful biomarkers associated with severity of Parkinson's disease or with progression of non-alcoholic fatty liver disease. In the present study, a simple, derivatization-free hydrophilic interaction liquid chromatography based tandem mass spectrometry (LC-MS/MS) method is described, that allows the accurate quantification of arginine and related amine, polyamine and acetylated polyamine metabolites in different experimental sample matrices, such as cell lysates, cell culture supernatants and tissues. Ten arginine metabolites, including citrulline, agmatine, ornithine, putrescine, spermidine, spermine, N1-acetylspermidine, N1-acetylspermine, N1,N12-diacetylspermine and arginine in conjunction with the metabolic cofactors S-adenosylhomocysteine and S-adenosylmethionine are simultaneously analyzed within a total LC-MS/MS run time of 9.5 min. The assay is suitable to quantify concentration ranges over multiple orders of magnitude for all metabolites with averaged accuracies observed at 103.2% ± 6.8%, 99.0% ± 4.2% and 100.4% ± 4.3% in cell lysates, cell culture supernatant and tissue extracts, respectively. Inter-day coefficients of variation ranged from 5.9 to 14.8% in cell lysates, 6.7 to 14.6% in cell culture supernatants and 5.3 to 12.0% in tissue extracts. The method was successfully applied to cell culture systems of different origin as well as different murine tissues and organs. The herein described LC-MS/MS method provides a simple tool for a fast and simultaneous analysis of arginine metabolites, including polyamines and their respective metabolic cofactors. Assay performance characteristics demonstrate suitability for applications in different experimental and preclinical settings.