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Determining the right price in the transaction process is of concern to both buyers and sellers. To support price determination, KPMG Multiples allows insights into helpful benchmark data. In just a few steps, the tool provides access to current market multiples - such as revenue multiples, EBITDA multiples and EBIT multiples - and thus guarantees a fast and reliable derivation and plausibility check of the possible purchase price.
The extensive database is updated monthly and contains peer group specific data of more than 17,500 companies worldwide. To identify suitable peer companies, the user can resort to precise search functions, e.g. filter options by industry, region or profitability (e.g. margins or growth). For an initial indication, sector multiples can be accessed for more than 70 industries. To provide full flexibility, the user can adjust the pre-defined sector multiples according to individual needs. Based on just two input steps, KPMG Multiples generates current multiples for the desired reporting date, specifying the number of available analysts estimates on which the calculation is based. The multiples are presented to the user in both tabular and graphical form, allowing the data to be viewed over time. Individual analysis and adjustment options also increase the individual quality of results: the multiples can be adjusted for outliers as required as well as only included in the analysis according to a self-selected range. With the Excel download function, users are given the possibility of exporting the data and subsequently processing it further as required.
The most important trading multiples in one place.
All data is derived based on consistent KPMG valuation standards.
Results can be exported to Excel for further processing.
New features: Determine multiples even faster with predefined industry peer groups for approx. 70 (sub)sectors according to GICS classification. Further, they can be specifically adapted to needs and requirements and thus offer the ideal baseline for tailored analyses. Find a summary of all available data below:
In addition to tool access, we will provide you with a contact person for setup and data entry and also support you with our KPMG expertise in compiling a relevant peer group.
Apart from tool access and the individually compiled peer group, you will also receive further multiples and analyses for your company, such as transaction multiples, sector-specific multiples or outlier analyses.
A multiple is a financial metric derived by dividing the entity or equity value of a company by a financial KPI (e.g., the equity value divided by the net income results in a scope of a net income multiple). A multiple can be used to estimate the price of a comparable company based on the underlying KPI. Hence, if someone is interested in a market price of a company, peer group multiples can serve as an indication of how much a typified investor would be willing to pay for a company. In order to derive an indicative range for the market price of the valuation object, the resulting multiple range can be applied to the respective KPI. The selection of appropriate multiples for valuation depends on the nature of the business of the valuation object. Our App offers Sales Trading Multiples, EBITDA Trading Multiples, EBIT Trading Multiples, Earnings Trading Multiples as well as Book Value to Market Value of Equity Trading Multiples (book-to-market ratio).
Due to the special characteristics of companies operating in the financial industry (such as high leverage, high dependency on the interest level, etc.), net debt, the enterprise value and thus the corresponding trading multiples may be of limited relevance.
Trading multiples can be calculated for any time in history where a company was publicly listed. They can change from one day to the next, as price points become available and fluctuate daily. In contrast, transaction multiples can only be calculated for the particular date of a transaction, as no other data points are available. Also, transaction multiples aren’t always publicly available.