We report on our processing steps to build a diachronic parallel corpus based on the world's oldest banking magazine. The magazine has been published since 1895 in German, with translations in French and partly in English and Italian. Our data sources are printed issues (until 1997), PDF issues (since 1998) and HTML files (since 2001). The corpus building poses special challenges in article boundary recognition and cross-language article and sentence alignment. Our corpus fills a gap in parallel corpora with respect to genre (magazine articles), domain (banking and economy articles), and its time span (120 years).