Magnificent Seven companies: analysis of revenue trends during COVID pandemic
Zinovy Radovilsky and
Harshini Jawahar
International Journal of Revenue Management, 2025, vol. 15, issue 3/4, 133-153
Abstract:
This research focuses on analysing revenue trends of the Magnificent Seven (M7) companies during the COVID pandemic (2020-2023). Using time series ensemble models, we forecasted quarterly revenues and applied counterfactual analysis to evaluate revenue trends during the pandemic. We determined that the majority of the M7 companies were able to sustain and increase their revenues versus estimated ensemble forecasts during the pandemic years of 2020-2023. We also concluded that for a short-term period, e.g., within the first pandemic year of 2020, some of the M7 companies had experienced revenue losses that were potentially associated with the adverse effects of the pandemic. However, for the subsequent COVID years of 2021-2023, revenue trends for all M7 companies were not adversely affected by the pandemic. This research also provided specific directions on how to develop a new or improve existing methodology for analysing revenues of any organisation during the pandemic.
Keywords: analysis of revenue trends; Magnificent Seven companies; COVID pandemic; time series ensemble models; counterfactual analysis. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=149668 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrevm:v:15:y:2025:i:3/4:p:133-153
Access Statistics for this article
More articles in International Journal of Revenue Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().