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Valuation Using Industry Multiples: How to Choose the Most Relevant Multiples

Author

Listed:
  • Edouard Chastenet

    (Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

  • Alain Marion

    (Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

Abstract

Our research focuses specifically on the methodology to be applied to improve the relevance of the multiples-based valuation method regarding the identification of the most relevant multiples (i.e., that reduce the relative absolute valuation error within any industry-based peer group). In line with prior empirical studies, our results confirm that Enterprise Value multiples based on EBIT and EBITDA perform better, compared to Sales and Capital Employed, and that multiples based on forward-looking EBIT and EBITDA are more relevant compared to corresponding actual earnings. In the absence of forward-looking earnings, available at the date of valuation, our study shows that EBITDA multiples provide better estimates than EBIT multiples do. Beyond these general results, the approach implemented in our research can be easily reproduced by practitioners (e.g., financial analysts, M&A advisors, independent appraisers) to identify case-by-case the multiples that are the most relevant within any industry-based peer group.

Suggested Citation

  • Edouard Chastenet & Alain Marion, 2015. "Valuation Using Industry Multiples: How to Choose the Most Relevant Multiples," Post-Print hal-01279438, HAL.
  • Handle: RePEc:hal:journl:hal-01279438
    DOI: 10.5791/0882-2875-34.4.173
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    Cited by:

    1. Philippe Jeanneaux & Yann Desjeux & Geoffroy Enjolras & Laure Latruffe, 2022. "Farm valuation: A comparison of methods for French farms," Agribusiness, John Wiley & Sons, Ltd., vol. 38(4), pages 786-809, October.

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    Keywords

    Industry Multiples;

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