Multiples are often used in business valuations to check plausibility, especially in a capital market-oriented environment, where they often serve as the main valuation method. However, not everyone realizes that gearing also plays a role in multiples valuation, similar to the determination of beta factors.
Multiples are often used in business valuations to check plausibility, especially in a capital market-oriented environment, where they often serve as the main valuation method. However, not everyone realizes that gearing also plays a role in multiples valuation, similar to the determination of beta factors.
Multiples are regularly used to check the plausibility of business valuations. In a capital market-oriented environment, multiples are often used as the primary valuation method. The most common multiples are EBITDA(x), EBIT(x) and the Price-Earnings Ratio (P/E ratio). These multiples are popular because they are based on transparent, readily available data and analysts' estimates of the future business development of peer companies at operating profit and earnings level are often of high quality.
However, few users are aware of the extent to which the gearing of the peer companies and the target company can influence the value determined in connection with multiples valuations. In the case of total value multiples, such as EBITDA(x) and EBIT(x), this effect is still limited, although there is also a certain influence via the tax shield. The effect is evident and not negligible with the P/E ratio.
Leverage acts as a "risk lever". Higher gearing means more financial risk for the owner, which leads to a higher levered beta and thus higher equity costs. At the same time, multiples and the cost of capital have an inverse relationship. In a company with stable growth ("steady state"), multiples can be derived directly from the cost of capital and vice versa.
The "perpetuity" formula can be understood as a rough indication of the nature of the relationship between the cost of capital and multiples. Higher leverage therefore means higher equity costs and thus a lower P/E ratio. This is intuitively understandable: for two companies with the same level of profit but different levels of risk, investors would generally pay less for the riskier company, i.e. a lower multiple of profit.
Valuation errors always arise when the average gearing of the peer companies and that of the target company differ greatly. When calculating the cost of equity, this quickly leads to significant differences. All other things being equal, the cost of equity rises from 10% at a gearing of 100% to 15%. In this case, the P/E ratio should fall from 12.5(x) to 7.7(x) with long-term growth of 2%.
Although this effect is serious, empirical multiples are not usually adjusted accordingly. The risk aspect described above is therefore not included in the valuation. In such cases, the valuer should rely more on total value multiples, such as EBITDA(x) or EBIT(x). The error here is significantly lower, as the dependency on leverage is comparatively low.
The consideration of gearing is decisive in the multiples valuation. While the influence of total value multiples such as EBITDA(x) and EBIT(x) remains moderate, equity multiples such as the P/E ratio have a significant influence. Valuers should examine these effects carefully and, if necessary, switch to total value multiples in order to minimize valuation errors.
Gearing influences the risk of a company. Higher risk leads to higher equity costs, which lowers the multiples, especially the P/E ratio.
The Price-Earnings Ratio (P/E ratio) is most strongly influenced by gearing, as it correlates directly with the cost of equity.
By using total value multiples such as EBITDA(x) or EBIT(x), which are less influenced by gearing.
These multiples are less susceptible to gearing distortions and thus provide a more stable basis for business valuations.
Specialized databases such as Bloomberg, Capital IQ and smartZebra provide detailed information that is useful for determining beta factors and selecting suitable peer groups.
We support you in researching the data — e.g. putting together the peer group — with a short training session on how to use the platform. We are happy to do this based on your specific project.