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Abstract

We propose a generalized, practitioner-oriented operating-leverage model for predicting operating income using net sales, cost of sales, depreciation, and SG&A. Prior research links operating income directly to these items; hence, our model includes all aggregate revenues and expenses that comprise operating income. Prior research finds that the cost of sales is “much less” sticky than depreciation and SG&A; hence, we use the cost of sales as a proxy for the total variable costs and depreciation and SG&A as proxies for the sticky fixed costs. We introduce a new adjustment to the textbook operating-leverage model so that the ratio of sales to the cost of sales remains constant for the reference and forecast periods. Inspired by prior research, we adjust depreciation and SG&A for cost stickiness. We find that using our generalized operating-leverage model improves the forecast accuracy of next-quarter and next-year operating income predictions compared to predictions made using textbook operating leverage, which is a special case of our model.

Details

1009240
Title
Predicting Operating Income via a Generalized Operating-Leverage Model
Author
Sherwood Lane Lambert 1 ; Krieger, Kevin 1 ; Mauck, Nathan 2   VIAFID ORCID Logo 

 College of Business, University of West Florida, Pensacola, FL 32514, USA; [email protected] (S.L.L.); [email protected] (K.K.) 
 Henry W. Bloch School of Management, University of Missouri-Kansas City, Kansas, MO 64108, USA 
Volume
12
Issue
1
First page
11
Publication year
2024
Publication date
2024
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
e-ISSN
22277072
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-01-23
Milestone dates
2023-11-09 (Received); 2024-01-17 (Accepted)
Publication history
 
 
   First posting date
23 Jan 2024
ProQuest document ID
3003034686
Document URL
https://www.proquest.com/scholarly-journals/predicting-operating-income-via-generalized/docview/3003034686/se-2?accountid=208611
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-11
Database
ProQuest One Academic