The Student Journal of Business & Economics

Stock Volatility and Market Valuation: Analyzing the Financial Impact of Subscription Transitions at Adobe and Autodesk

Gupta, Ayush

doi: 10.67521/sjbe.2026.027

Abstract

This study examines how switching from traditional software licenses to a recurring subscription model impacts a company's financial performance and market valuation over time. For this comparative case study, this paper analyzes Adobe Inc. and Autodesk, Inc. by looking at their financial data from the pre-transition, active-transition and post-transition periods. The study focuses on the important financial metrics like total revenue, GAAP net income, operating margins, Annual Recurring Revenue (ARR), Enterprise Value-to-Sales (EV/Sales) multiples, Price-to-Earnings (P/E) multiples and stock price volatility. The findings show that both companies faced problems during their transitions, with temporary declines in metrics like revenue, profitability, and operating margins. On the other hand, ARR increased significantly as the subscription revenue became a larger part of each company's business. The valuation multiples generally increased and stock price volatility fluctuated over time. These results suggest that some of the decline in financial performance during a transition to a subscription model may be related to changes in when the revenue is actually recognized. However, this study does not measure how much of this decline can be attributed to these accounting changes. Overall, the analysis found that Adobe and Autodesk experienced temporary declines in their financial performance during the transition before recovering as recurring revenue increased. Both companies also experienced higher EV/Sales valuations in later years, but this does not prove that switching to a subscription model would produce similar results for other companies.

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Cite (Chicago)

Gupta, Ayush. “Stock Volatility and Market Valuation: Analyzing the Financial Impact of Subscription Transitions at Adobe and Autodesk.” Student Journal of Business and Economics (2026). https://doi.org/10.67521/sjbe.2026.027.

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