Penn National's maintains a accelerating profile with slightly volatile financial swings. Common Stock Shares Outstanding is the total number of shares of a company's common stock that are currently owned by all its shareholders. View All Fundamentals
Penn National Correlation provides competitor comparison context for Penn National. This adds peer-relative context.
Evaluating Penn National's Common Stock Shares Outstanding across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Penn National Gaming's fundamental strength.
Latest Penn National's Common Stock Shares Outstanding Growth Pattern
Below is the plot of the Common Stock Shares Outstanding of Penn National Gaming over the last few years. It is the total number of shares of a company's common stock that are currently owned by all its shareholders. Penn National's Common Stock Shares Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Penn National's overall financial position and show how it may be relating to other accounts over time.
Penn Common Stock Shares Outstanding Regression Statistics
Arithmetic Mean
113,767,944
Geometric Mean
107,088,612
Coefficient Of Variation
32.96
Mean Deviation
30,155,811
Median
103,804,000
Standard Deviation
37,497,978
Sample Variance
1406.1T
Range
140.2M
R-Value
0.73
Mean Square Error
708.7T
R-Squared
0.53
Significance
0.001
Slope
5,392,986
Total Sum of Squares
22497.6T
Penn Common Stock Shares Outstanding History
2026
101.6 M
2025
144.6 M
2023
152.1 M
2022
176.6 M
2021
175.5 M
2020
134 M
2019
117.8 M
Penn National Valuation Metrics
Penn National is a large-cap equity in Hotels, Restaurants & Leisure, Consumer Services, Consumer Discretionary categories. Sector-relative metrics refine price assessment. We assess how Penn National aligns with strategic allocation principles over extended horizons.
Methodology
Unless otherwise specified, financial data for Penn National Gaming is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Penn (USA Stocks:PENN) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions Valuation estimates and intrinsic-value models use inputs from public financial disclosures and may not represent market consensus.
Assumptions
We use public filings and market reference sources with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Analyst Sources
Penn National Gaming is covered by 20 analysts. 10 analysts have submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include J.P. Morgan, Guggenheim Securities, Bank of America Securities, Oppenheimer & Co., Evercore ISI, Goldman Sachs, Deutsche Bank, Bernstein Research, Raymond James, among others. Updates may occur throughout the day.
Pair Trading with Penn National
Pair trading with Penn National can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.
When executing tax-loss harvesting on Penn National Gaming, the goal is to sell at a loss and immediately redeploy proceeds into a sufficiently different but highly correlated asset. This approach maintains Penn National's risk contribution to the portfolio while generating a realized tax loss.
Rolling correlation analysis for Penn National shows how its relationship with other instruments evolves over time. Correlations that spike toward +1 during market stress suggest that Penn National Gaming's diversification benefits may disappear precisely when they are most needed.
Correlation analysis and pair evaluation for Penn National can support hedging context. The approach can be applied within sectors or across broader universes.
A comprehensive view of Penn National Gaming starts with financial statements and ratio context. Financial ratios provide context for profitability, efficiency, and growth trends. Outlined below are key reports that provide context for Penn National Gaming Stock:
Penn National Correlation provides competitor comparison context for Penn National. This adds peer-relative context.
Analysis related to Penn National should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Quarterly Earnings Growth
2.089
Earnings Share
-6.08
Revenue Per Share
48.14
Quarterly Revenue Growth
0.082
Return On Assets
0.0117
Understanding Penn National Gaming includes distinguishing between market value and book value, where book value reflects Penn accounting equity. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Market price can move with sentiment, cycles, and liquidity conditions, so it may drift away from fundamentals. Valuation methods compare these perspectives to frame context.
The concept of value for Penn National differs from its quoted price, since each reflects a different lens. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. Trading price represents the transaction level agreed by market participants.