PRGS Factor Report

Data as of market close on: 3/28/2025.

Fundamental analysis of PRGS using the major investing factors, including value, quality, momentum, and low volatility.
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PROGRESS SOFTWARE CORP (PRGS) Fundamentals

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Latest Close: $51.39 Market Cap ($ mil): $2,211 Sector: Technology Industry: Software & Programming 52 Week High: $70.56 52 Week Low: $48.00 Relative Strength: 56 Twelve Minus One Return: 4.2% Standard Deviation: 26.9% Insider Ownership: 1.63%
PE Ratio: 33.2 Price/Sales: 2.9 Price/Book: 5.1 Price/Cash Flow: 12.9 EV/EBITDA: 13.78 Dividend Yield: 1.36% Shareholder Yield: 1.86% Piotroski F Score: 5 Mohanram G Score: 4 Institutional Ownership: 18.91%
Return on Equity: 15.2% Return on Assets: 3.3% Return on Tangible Capital: 587.3% Return on Invested Capital: 7.9% WACC: 4.3% Debt/Equity: 3.48 LT EPS Growth: 4.9% LT Sales Growth: 13.1% Beta: 0.84 Profit Margin: 9.08%
Progress Software Corporation is a provider of artificial intelligence (AI)-powered digital experiences and infrastructure software. The Company provides software that enables organizations to develop and deploy their applications, as well as manage their data platforms, cloud and information technology infrastructure. Its global professional services organization delivers business solutions for customers through a combination of products, consulting and education. The Company's consulting organization offers project management, implementation services, custom software development, programming and other services. Its services include application modernization, infrastructure automation, development operations, data management and managed database services, performance enhancements and tuning, and analytics/business intelligence. Its products include OpenEdge, Chef, Kemp LoadMaster, MOVEit, DataDirect, MarkLogic and Semaphore. Semaphore is a semantic artificial intelligence platform.

Factor Profile

PRGS's exposure to the major factors (100 is highest).

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Optimal portfolios presented on Validea.com represent the rebalancing period that has led to the best historical performance for each of our equity models. Each optimal portfolio was determined after the fact with performance information that was not available at portfolio inception. As a result, an investor could not have invested in the optimal portfolio since its inception. Optimal portfolios are presented to allow investors to quickly determine the portfolio size and rebalancing period that has performed best for each of our models in our historical testing.

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