Textual Analytics applied to Financial Narratives is a research field with multiple perspectives, as this volume shows. Economists and financial experts can base their economic analyses not only on quantitative disclosures but also on the communication tools employed by managers to persuade their investors. From the NLP perspective, financial texts provide a suitable domain to apply techniques successfully used in information extraction, summarising, classification, and sentiment analysis. Applied linguistics also benefits from the exponential availability of electronic texts to carry out terminological studies and, in general, to better understand financial language in its lexical, grammatical, and discursive aspects. This set of interdisciplinary studies are known as Financial Narrative Processing (FNP). Until recently, FNP was restricted to documents in English, the international language of finance. Financial Narrative Processing in Spanish is the first collection of essays devoted to Spanish Financial Language (SFL). It brings together six pieces that provide an account of the current research in the field from a multidisciplinary perspective.