Park National Stock Performance

PRK Stock  USD 172.64  0.77  0.45%   
Below is a summary of Park National's return history alongside the standard risk-adjusted performance metrics. Across the 3 months window, Park National shows an expected return of 0.13% and pays a 2.51% yield.
Risk-Adjusted Performance
Contained
 
Weak
 
Strong
Compared with the broader market, risk-adjusted returns on Park National rank lower than 6% of all global equities and portfolios over the last 90 days. At mid-cap scale, institutional coverage and secondary-market liquidity are typically well established. Despite quite conflicting basic indicators, Park National may actually be approaching a critical reversion point that can send shares even higher in May 2026. Learn More

Actual Historical Performance (%)

 One Day Return
-0.74
 Five Day Return
-0.72
 Year To Date Return
12.94
 Ten Year Return
87.12
 All Time Return
1.1 K
 Forward Dividend Yield
2.5%
 Payout Ratio
39.0%
 Last Split Factor
105:100
 Forward Dividend Rate
4.31
 Dividend Date
2026-06-10

Performance Related Modules

Earnings links to analyst estimate history and revisions, Ownership shows shareholder mix, Profitability focuses on margin and return ratios, Liquidity covers cash-flow strength and short-term funding capacity, and Fundamentals groups the broader financial ratio set.

Relative Risk vs. Return Landscape

If you had invested $ 16,008 in Park National on January 27, 2026 and sold it today you would have earned a total of $ 1,240 from holding Park National or generated 7.75% return on investment over 90 days. Park National is generating a 0.1312% daily return assuming volatility of 1.6025% on return distribution over 90 days investment horizon. In relative terms, Park exhibits above-average volatility, exceeding roughly 86% of comparable stocks, and PRK delivers lower expected returns than 98% of comparable equities over the next 90 days.
  Expected Return   
       Risk  
This market-relative note looks at return potential and the amount of risk required to get it. It keeps the emphasis on benchmark context, not just standalone performance. Over a 90-day investment horizon, PRK generates 1.7 times more return on investment than the market. However, PRK is 1.7 times more volatile than its market benchmark. Its risk-adjusted efficiency stands at about 0.08% per unit of risk. Dow Jones Industrial is currently generating roughly 0.01% per unit of risk.

Target Price Odds to finish over Current Price

The mean-reverting behavior of Park Stock price is a cornerstone of quantitative forecasting models. Studies have found that some stocks are persistently mispriced, with spreads correcting only when dynamics shift. Embedded risk premiums affect the speed at which mispriced stocks converge to their intrinsic value estimates. This concept remains a foundational input for building forecasting models around Park Stock price behavior.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
172.64 90 days 172.64
about 16.89
Probability analysis for this stock suggests that the odds of Park National moving above the current price in 90 days from now are about 16.89 . Recent return data has shown a distribution that skews above the current level over this window. (This density function focuses attention on the most probable trading range for Park Stock over the next 90 days).
Over a 90-day investment horizon, Park National has a beta of 0.9 indicating Park National market returns are very sensitive to returns on the market. As the market goes up or down, Park National tends to follow. Additionally, Park National has an alpha of 0.0465, implying that it can generate a 0.0465 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   Park National Price Density   
       Price  

Predictive Modules for Park National

The challenge of forecasting Park National mirrors the broader difficulty of predicting stock market movements. While perfect accuracy is unattainable, applying multiple models remains a core part of sound stock analysis. Market surprises are inevitable, but disciplined forecasting still improves investment decision-making. Applying diverse stock forecasting tools remains one of the most practical paths to better investment decisions.
The mean reversion effect in Park National is stronger when the initial deviation was driven by sentiment rather than fundamentals. Such deviations have sometimes corrected when the initial catalyst fades, though timing remains uncertain. The degree to which Park National's exhibits mean reversion depends on how efficiently the market prices new information. Short-term deviations tend to persist and even widen before correcting, making allocation calibration important.
Sentiment
Range
LowSentimentHigh
171.12172.73174.34
Details
Intrinsic
Valuation
LowIntrinsicHigh
147.88149.49189.73
Details
Naive
Forecast
LowNextHigh
165.06166.67168.27
Details
Analyst
Consensus
LowTargetHigh
162.13178.17197.77
Details
Peer benchmarking frames Park National's operating metrics and market pricing against comparable companies. Placing Park National's results in peer context distinguishes company-specific performance from industry-wide trends. Standalone financial analysis captures Park National's individual trajectory; peer comparison reveals relative standing. Peer benchmarking forms the basis of most institutional comparative equity analysis.

Primary Risk Indicators

Over recent decades, the stock market has seen multiple large corrections and recoveries affecting Park National. Both sharp declines and powerful rallies have tested investor discipline in Park National. Tracking Park National's volatility and fundamental risk indicators provides a framework for managing downside exposure. This framework supports more informed hedging and position-sizing decisions for Park National.
α
Alpha over Dow Jones
0.05
β
Beta against Dow Jones0.90
σ
Overall volatility
6.72
Ir
Information ratio 0.03

Investor Alerts and Insights

Investors who use alerts for Park National can respond more quickly to important stock events. Checking Park National notifications regularly is a straightforward way to stay on top of actionable developments. Combining Park National alerts with broader market context improves the quality of investment decisions. Consistent monitoring through alerts builds a more complete picture of Park National over time.
On 10th of March 2026 Park National paid $ 1.1 per share dividend to its current shareholders
Latest headline from seekingalpha.com: Park National GAAP EPS of 2. misses by 0.21, revenue of 159.5 M beats by 2.43 M

Price Density Drivers

For investors analyzing Park National, understanding buyer and seller positioning dynamics is essential for price analysis. Monitoring these dynamics helps anticipate short-term price movements and gauge current market conditions. Assessing Park National's price density drivers indicates whether recent moves are fundamental or tactical. These indicators, paired with fundamental analysis, offer a more complete view of Park National.
Common Stock Shares Outstanding16.2 M
Cash And Short Term Investments137.2 M

Park National Fundamentals Growth

The market value of Park Stock depends on how investors perceive Park National's financial strength. Earnings growth, revenue momentum, profitability ratios, and debt levels drive Park Stock valuation. The financial health of Park National is the primary driver of Park Stock market performance over time. Investors pricing Park Stock focus on Park National's core financial fundamentals and growth trajectory.

Performance Metrics & Calculation Methodology

Drawdown analysis for Park National measures how deep losses have been and how long recovery has taken historically. Drawdown frequency and clustering can signal regime sensitivity beyond what returns alone capture. Park National shows ROE of 12.05%, ROA of 1.57%.

Park National metrics draw on periodic company reporting and market reference feeds, standardized for cross-period comparison. Sell-side coverage, where present, supplements the data shown. Return and risk statistics are calculated from historical price series.

Editorial review and methodology oversight provided by: Ellen Johnson, Member of Macroaxis Editorial Board