Cintas Stock Market Value
| CTAS Stock | USD 665.83 0.40 0.06% |
| Symbol | Cintas |
Cintas Price To Book Ratio
Is Cintas' industry 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 Cintas. If investors know Cintas 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 Cintas listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.223 | Dividend Share 5.2 | Earnings Share 14.52 | Revenue Per Share 92.516 | Quarterly Revenue Growth 0.099 |
The market value of Cintas is measured differently than its book value, which is the value of Cintas that is recorded on the company's balance sheet. Investors also form their own opinion of Cintas' value that differs from its market value or its book value, called intrinsic value, which is Cintas' 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 Cintas' market value can be influenced by many factors that don't directly affect Cintas' 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 Cintas' value and its price as these two are different measures arrived at by different means. Investors typically determine if Cintas is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cintas' 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.
Cintas '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 Cintas' 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 Cintas.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Cintas on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Cintas or generate 0.0% return on investment in Cintas over 30 days. Cintas is related to or competes with Avalon Holdings, LanzaTech Global, Ambipar Emergency, BQE Water, BluMetric Environmental, and Agilyx AS. Cintas Corporation provides corporate identity uniforms and related business services primarily in the United States, Ca... More
Cintas 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 Cintas' 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 Cintas upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7341 | |||
| Information Ratio | 0.0899 | |||
| Maximum Drawdown | 10.36 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 1.36 |
Cintas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cintas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cintas' standard deviation. In reality, there are many statistical measures that can use Cintas historical prices to predict the future Cintas' volatility.| Risk Adjusted Performance | 0.0928 | |||
| Jensen Alpha | 0.1611 | |||
| Total Risk Alpha | 0.0656 | |||
| Sortino Ratio | 0.1541 | |||
| Treynor Ratio | 5.57 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cintas' 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.
Cintas Backtested Returns
We consider Cintas very steady. Cintas secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for Cintas, which you can use to evaluate the volatility of the firm. Please confirm Cintas' Downside Deviation of 0.7341, risk adjusted performance of 0.0928, and Mean Deviation of 0.708 to double-check if the risk estimate we provide is consistent with the expected return of 0.13%. Cintas has a performance score of 8 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0292, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cintas' returns are expected to increase less than the market. However, during the bear market, the loss of holding Cintas is expected to be smaller as well. Cintas right now shows a risk of 1.26%. Please confirm Cintas semi variance, and the relationship between the treynor ratio and daily balance of power , to decide if Cintas will be following its price patterns.
Auto-correlation | 0.23 |
Weak predictability
Cintas has weak predictability. Overlapping area represents the amount of predictability between Cintas time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cintas price movement. The serial correlation of 0.23 indicates that over 23.0% of current Cintas price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 3.64 |
Cintas lagged returns against current returns
Autocorrelation, which is Cintas 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 Cintas' stock expected returns. We can calculate the autocorrelation of Cintas returns to help us make a trade decision. For example, suppose you find that Cintas 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 |
Cintas 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 Cintas stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cintas stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cintas stock over time.
Current vs Lagged Prices |
| Timeline |
Cintas Lagged Returns
When evaluating Cintas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cintas stock have on its future price. Cintas 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, Cintas autocorrelation shows the relationship between Cintas stock current value and its past values and can show if there is a momentum factor associated with investing in Cintas.
Regressed Prices |
| Timeline |
Pair Trading with Cintas
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cintas position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cintas will appreciate offsetting losses from the drop in the long position's value.Moving together with Cintas Stock
| 0.86 | BV | BrightView Holdings Earnings Call Today | PairCorr |
| 0.89 | NL | NL Industries | PairCorr |
| 0.84 | ABM | ABM Industries rporated Financial Report 4th of June 2024 | PairCorr |
Moving against Cintas Stock
| 0.87 | AZ | A2Z Smart Technologies | PairCorr |
| 0.83 | AP | Ampco Pittsburgh | PairCorr |
| 0.77 | OMEX | Odyssey Marine Explo | PairCorr |
| 0.76 | BA | Boeing Financial Report 24th of July 2024 | PairCorr |
| 0.71 | HDSN | Hudson Technologies | PairCorr |
The ability to find closely correlated positions to Cintas could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cintas when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cintas - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cintas to buy it.
The correlation of Cintas is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cintas moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cintas moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cintas can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Cintas Correlation, Cintas Volatility and Cintas Alpha and Beta module to complement your research on Cintas. For more information on how to buy Cintas Stock please use our How to Invest in Cintas guide.Note that the Cintas information on this page should be used as a complementary analysis to other Cintas' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Complementary Tools for Cintas Stock analysis
When running Cintas' price analysis, check to measure Cintas' 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 Cintas is operating at the current time. Most of Cintas' value examination focuses on studying past and present price action to predict the probability of Cintas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cintas' price. Additionally, you may evaluate how the addition of Cintas to your portfolios can decrease your overall portfolio volatility.
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Cintas technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.