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Strengths and Weaknesses of the Excess Earnings Method for Valuing Backlog

Authors: E. Gonnella; L. Talarico;

Strengths and Weaknesses of the Excess Earnings Method for Valuing Backlog

Abstract

For make-to-order manufacturing firms, a valuable intangibles asset is represented by the backlog, namely a company's sales orders waiting to be filled. Not infrequently, the value of this asset can constitute a significant part of the value of the company. Valuation experts may be called on to value the order backlog in case of the sale of both one or more contracts and of firms or business units. A strongly accredited method both in doctrine and in practice for valuing customer-related assets, such as backlog, is the Excess Earnings Method (EEM). However, theoretical contributions on the use of the EEM in the specific estimate of backlog are quite rare. This paper examines the topic of backlog valuation performed using EEM. After describing the valuation process, a critical analysis of the EEM when applied to such valuation object is carried out, with the aim of grasping its strengths and weaknesses. We conclude that backlog valuation performed using EEM while on the one hand is characterized by strong economic rationality and enjoys general acceptance in the context of professional business valuation services, on the other it highlights significant elements of uncertainty due to the multiple estimates needed. Moreover, it is an extremely complex and time-consuming process, whose application requires a high level of specialist knowledge and skills on the part of the valuation expert.

Country
Italy
Related Organizations
Keywords

Backlog, valuation of backlog, excess earnings method, customer-related assets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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