Pacs Group Stock Market Value

PACS Stock   39.51  1.12  2.92%   
PACS's market value is the price at which a share of PACS trades on a public exchange. It measures the collective expectations of PACS Group investors about its performance. PACS is selling for under 39.51 as of the 5th of January 2026; that is 2.92% up since the beginning of the trading day. The stock's lowest day price was 37.55.
With this module, you can estimate the performance of a buy and hold strategy of PACS Group and determine expected loss or profit from investing in PACS over a given investment horizon. Check out PACS Correlation, PACS Volatility and PACS Alpha and Beta module to complement your research on PACS.
Symbol

PACS Group Price To Book Ratio

Is Health Care Providers & Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of PACS. If investors know PACS will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about PACS listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
0.61
Revenue Per Share
26.578
Quarterly Revenue Growth
0.291
The market value of PACS Group is measured differently than its book value, which is the value of PACS that is recorded on the company's balance sheet. Investors also form their own opinion of PACS's value that differs from its market value or its book value, called intrinsic value, which is PACS's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because PACS's market value can be influenced by many factors that don't directly affect PACS's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between PACS's value and its price as these two are different measures arrived at by different means. Investors typically determine if PACS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PACS's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

PACS 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to PACS's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of PACS.
0.00
12/06/2025
No Change 0.00  0.0 
In 30 days
01/05/2026
0.00
If you would invest  0.00  in PACS on December 6, 2025 and sell it all today you would earn a total of 0.00 from holding PACS Group or generate 0.0% return on investment in PACS over 30 days. PACS is related to or competes with Morgan Stanley, Stewart Information, Skyward Specialty, WisdomTree, Stifel Financial, Horace Mann, and Perella Weinberg. PACS is entity of United States. It is traded as Stock on NYSE exchange. More

PACS Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure PACS's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess PACS Group upside and downside potential and time the market with a certain degree of confidence.

PACS Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for PACS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PACS's standard deviation. In reality, there are many statistical measures that can use PACS historical prices to predict the future PACS's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PACS's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
32.8642.7852.70
Details
Intrinsic
Valuation
LowRealHigh
21.3131.2341.15
Details
Naive
Forecast
LowNextHigh
33.8043.7153.63
Details
4 Analysts
Consensus
LowTargetHigh
31.5534.6738.48
Details

PACS Group Backtested Returns

PACS is somewhat reliable given 3 months investment horizon. PACS Group retains Efficiency (Sharpe Ratio) of 0.22, which implies the company had a 0.22 % return per unit of risk over the last 3 months. We were able to break down thirty different technical indicators, which can help you to evaluate if expected returns of 2.15% are justified by taking the suggested risk. Use PACS Group semi deviation of 2.16, and Market Risk Adjusted Performance of (1.10) to evaluate company specific risk that cannot be diversified away. PACS holds a performance score of 17 on a scale of zero to a hundred. The firm owns a Beta (Systematic Risk) of -1.76, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning PACS are expected to decrease by larger amounts. On the other hand, during market turmoil, PACS is expected to outperform it. Use PACS Group jensen alpha, skewness, relative strength index, as well as the relationship between the value at risk and day median price , to analyze future returns on PACS Group.

Auto-correlation

    
  0.97  

Excellent predictability

PACS Group has excellent predictability. Overlapping area represents the amount of predictability between PACS time series from 6th of December 2025 to 21st of December 2025 and 21st of December 2025 to 5th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of PACS Group price movement. The serial correlation of 0.97 indicates that 97.0% of current PACS price fluctuation can be explain by its past prices.
Correlation Coefficient0.97
Spearman Rank Test0.85
Residual Average0.0
Price Variance0.95

PACS Group lagged returns against current returns

Autocorrelation, which is PACS stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting PACS's stock expected returns. We can calculate the autocorrelation of PACS returns to help us make a trade decision. For example, suppose you find that PACS has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

PACS regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If PACS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PACS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PACS stock over time.
   Current vs Lagged Prices   
       Timeline  

PACS Lagged Returns

When evaluating PACS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PACS stock have on its future price. PACS autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, PACS autocorrelation shows the relationship between PACS stock current value and its past values and can show if there is a momentum factor associated with investing in PACS Group.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for PACS Stock Analysis

When running PACS's price analysis, check to measure PACS's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy PACS is operating at the current time. Most of PACS's value examination focuses on studying past and present price action to predict the probability of PACS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PACS's price. Additionally, you may evaluate how the addition of PACS to your portfolios can decrease your overall portfolio volatility.