Fine particulate matter (PM2.5) is a complex atmospheric pollutant originating from multiple natural and anthropogenic sources. This pilot study investigates the chemical composition and potential source characteristics of PM2.5 in urban Tirana, Albania, during two monitoring campaigns conducted in March–April 2024 and April–May 2025. Elemental composition was determined by energy-dispersive X-ray fluorescence (ED-XRF), while water-soluble non-purgeable organic carbon (NPOC) and total nitrogen (TN) were analyzed using a TOC-L analyzer. Pearson correlation analysis was applied to investigate relationships among PM2.5 constituents, whereas MERRA-2 dust reanalysis, HYSPLIT backward trajectories, MODIS aerosol optical depth (AOD) and meteorological observations were used as complementary atmospheric information. The 2024 campaign was characterized by higher concentrations of crustal-associated elements and atmospheric conditions consistent with a relatively stronger mineral dust influence, whereas the 2025 campaign exhibited lower elemental concentrations and lower variability in crustal-associated elements. Moderate positive but statistically non-significant correlations between TN and NPOC were observed during both campaigns, consisting of partially shared atmospheric behavior. The combined interpretation of elemental composition, Pearson correlation analysis and complementary atmospheric datasets suggest that PM2.5 composition reflects multiple potential source influences and atmospheric processing rather than a single dominant source. This integrated approach provides a practical qualitative framework for interpreting PM2.5 composition in preliminary source assessment when quantitative receptor models are not available.