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

In: Advances in Compositional Data Analysis

Author

Listed:
  • 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)

  • Germà Coenders

    (University of Girona, Department of Economics)

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.

Suggested Citation

  • Elisabet Saus–Sala & Àngels Farreras–Noguer & Núria Arimany–Serrat & Germà Coenders, 2021. "Compositional DuPont Analysis. A Visual Tool for Strategic Financial Performance Assessment," Springer Books, in: Peter Filzmoser & Karel Hron & Josep Antoni Martín-Fernández & Javier Palarea-Albaladejo (ed.), Advances in Compositional Data Analysis, pages 189-206, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-71175-7_10
    DOI: 10.1007/978-3-030-71175-7_10
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