Full identification of SP-proteins remains challenging, particularly in some livestock species such as porcine. This experimental study aims to provide an extensive proteomic analysis of boar SP and to generate a public accessible database of boar SP-proteome. A SP-pool from 33 entire ejaculates from 11 boars (3 ejaculates per boar) was analyzed to characterize the boar SP-proteome. Moreover, 20 ejaculates collected in fractions (P1: first 10 mL of sperm rich ejaculate fraction (SRF), P2: rest of SRF and P3: post-SRF) from 5 boars (4 ejaculates per boar) were analyzed to evaluate differentially expressed SP-proteins among portions. SP-samples were subjected to a combination of SEC, 1-D SDS PAGE and NanoLC-ESI-MS/MS followed by functional bioinformatics analysis.The identified proteins were quantified from normalized LFQ intensity data. A total of 33,557 spectra corresponding to 8,189 peptides and 536 SP-proteins were identified with ≥ 95% Confidence (Unused Score > 1.3) and a false discovery rate (FDR) ≤ 1%. Of the 536 SP-proteins, 409 were identified in Sus Scrofa taxonomy and 374 of them were Biological Significance: This proteomic study provides the major characterization of the boar SP-proteome with more than 250 proteins first reported. The boar SP-proteome is described so that a spectral library can be built for relative 'label free' protein quantitation with SWATH approach. This proteomic profiling allows the creation of a publicly accessible database of the boar SP-proteome, as a first step for further understanding the role of SP-proteins in reproductive outcomes as well as for identification of biomarkers for sperm quality and fertility.