Compositional DuPont Analysis. A Visual Tool for Strategic Financial Performance Assessment

Elisabet Saus–Sala (), Àngels Farreras–Noguer (), Núria Arimany–Serrat () and Germà Coenders
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Elisabet Saus–Sala: University of Girona, Department of Business Studies
Àngels Farreras–Noguer: University of Girona, Department of Business Studies
Núria Arimany–Serrat: University of Vic-UCC, Department of Economics and Business

A chapter in Advances in Compositional Data Analysis, 2021, pp 189-206 from Springer

Abstract: Abstract DuPont analysis is a classical tool for assessing the determinants of financial performance of firms. It is based on financial ratios comparing revenues with costs (the so-called margin ratio), revenues with assets (turnover ratio), and debt with assets (leverage ratio). DuPont analysis thus focuses on comparing accounting values in relative terms and lends itself naturally to compositional analysis. In this chapter, we show how to graphically display firms according to margin, turnover and leverage by means of a standard compositional biplot, and how to cluster firms into strategic groups by means of k-means compositional cluster analysis. Practitioners who prefer to stick to the classic definitions of industry or cluster-level financial ratios can compute them with the usual formulae from the centre of the composition, i.e. from the industry or cluster geometric averages rather than the totals or arithmetic averages commonly used. An illustration is presented with farm-tourism firms.

Date: 2021
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DOI: 10.1007/978-3-030-71175-7_10

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