{"title":"Relative Valuation of Private Held Companies: Valuation Multiples in the Czech Brewing Industry","authors":"M. Drabek","doi":"10.1515/jbvela-2021-0023","DOIUrl":null,"url":null,"abstract":"Abstract This article focuses on the topic of the relative valuation from the perspective of non-publicly traded companies and the determination of industry multiples allowing the subsequent application of this approach to specific industries. I chose the Czech brewing industry as the target industry, represented by the 50 most important entities (covering more than 99% of the industry’s turnover). Due to the fact that no market value data are available for this type of company, I first used an income valuation approach – the discounted cash flow (DCF) method to assess the market value of each company in the sample. I then quantified valuation multiples of P/E, EV/EBIT, EV/EBITDA, P/S, EV/S, P/BV, and EV/IC for each company, from which I determined industry statistics. I verified their suitability for use in the relative valuation approach and compared them with the results of existing studies on the most commonly used valuation approaches in the Czech Republic. Furthermore, I compared my own calculations of industry multiples for non-publicly traded companies with available data on industry multiples of publicly-traded companies in the brewing industry across Europe. The results of the comparison show that these multiples are on average lower for non-publicly traded companies than for listed companies.","PeriodicalId":39482,"journal":{"name":"Journal of Business Valuation and Economic Loss Analysis","volume":"17 1","pages":"65 - 100"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Valuation and Economic Loss Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/jbvela-2021-0023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract This article focuses on the topic of the relative valuation from the perspective of non-publicly traded companies and the determination of industry multiples allowing the subsequent application of this approach to specific industries. I chose the Czech brewing industry as the target industry, represented by the 50 most important entities (covering more than 99% of the industry’s turnover). Due to the fact that no market value data are available for this type of company, I first used an income valuation approach – the discounted cash flow (DCF) method to assess the market value of each company in the sample. I then quantified valuation multiples of P/E, EV/EBIT, EV/EBITDA, P/S, EV/S, P/BV, and EV/IC for each company, from which I determined industry statistics. I verified their suitability for use in the relative valuation approach and compared them with the results of existing studies on the most commonly used valuation approaches in the Czech Republic. Furthermore, I compared my own calculations of industry multiples for non-publicly traded companies with available data on industry multiples of publicly-traded companies in the brewing industry across Europe. The results of the comparison show that these multiples are on average lower for non-publicly traded companies than for listed companies.
期刊介绍:
The Journal of Business Valuation and Economic Loss Analysis (JBVELA) is a refereed academic journal that publishes continuously throughout the year and is co-edited by Bradley Ewing and James Hoffman. The mission of the Journal of Business Valuation and Economic Loss Analysis is to improve the practice of business valuation, economic loss analysis, and risk management by helping to inform academics, practitioners, and attorneys about theoretical and practical developments in these fields.