Unifirst Stock Price Prediction
| UNF Stock | USD 173.40 1.09 0.62% |
Momentum 46
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.049 | EPS Estimate Current Year 7.9112 | EPS Estimate Next Year 8.6317 | Wall Street Target Price 181.6667 | EPS Estimate Current Quarter 2.0892 |
Using Unifirst hype-based prediction, you can estimate the value of Unifirst from the perspective of Unifirst response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Unifirst using Unifirst's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Unifirst using crowd psychology based on the activity and movement of Unifirst's stock price.
Unifirst Short Interest
A significant increase or decrease in Unifirst's short interest from the previous month could be a good indicator of investor sentiment towards Unifirst. Short interest can provide insight into the potential direction of Unifirst stock and how bullish or bearish investors feel about the market overall.
200 Day MA 191.7363 | Short Percent 0.0108 | Short Ratio 0.83 | Shares Short Prior Month 143.5 K | 50 Day MA 182.5948 |
Unifirst Hype to Price Pattern
Investor biases related to Unifirst's public news can be used to forecast risks associated with an investment in Unifirst. The trend in average sentiment can be used to explain how an investor holding Unifirst can time the market purely based on public headlines and social activities around Unifirst. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Unifirst's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Unifirst.
Unifirst Implied Volatility | 0.49 |
Unifirst's implied volatility exposes the market's sentiment of Unifirst stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Unifirst's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Unifirst stock will not fluctuate a lot when Unifirst's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Unifirst to buy its stock at a price that has no basis in reality. In that case, they are not buying Unifirst because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Unifirst after-hype prediction price | USD 173.4 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Unifirst contract
Based on the Rule 16, the options market is currently suggesting that Unifirst will have an average daily up or down price movement of about 0.0306% per day over the life of the 2025-09-19 option contract. With Unifirst trading at USD 173.4, that is roughly USD 0.0531 . If you think that the market is fully incorporating Unifirst's daily price movement you should consider acquiring Unifirst options at the current volatility level of 0.49%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Unifirst Basic Forecasting Models to cross-verify your projections. Unifirst After-Hype Price Prediction Density Analysis
As far as predicting the price of Unifirst at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Unifirst or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Unifirst, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Unifirst Estimiated After-Hype Price Volatility
In the context of predicting Unifirst's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Unifirst's historical news coverage. Unifirst's after-hype downside and upside margins for the prediction period are 171.64 and 175.16, respectively. We have considered Unifirst's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Unifirst is very steady at this time. Analysis and calculation of next after-hype price of Unifirst is based on 3 months time horizon.
Unifirst Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Unifirst is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Unifirst backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Unifirst, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.03 | 1.76 | 0.00 | 0.01 | 10 Events / Month | 6 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
173.40 | 173.40 | 0.00 |
|
Unifirst Hype Timeline
On the 26th of July Unifirst is traded for 173.40. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Unifirst is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is at this time at -0.03%. %. The volatility of related hype on Unifirst is about 964.38%, with the expected price after the next announcement by competition of 173.41. About 98.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 1.48. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. Unifirst has Price/Earnings To Growth (PEG) ratio of 2.88. The entity recorded earning per share (EPS) of 8.15. The firm last dividend was issued on the 6th of June 2025. Unifirst had 2:1 split on the 20th of January 1994. Considering the 90-day investment horizon the next estimated press release will be in about 10 days. Check out Unifirst Basic Forecasting Models to cross-verify your projections.Unifirst Related Hype Analysis
Having access to credible news sources related to Unifirst's direct competition is more important than ever and may enhance your ability to predict Unifirst's future price movements. Getting to know how Unifirst's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Unifirst may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CASS | Cass Information Systems | (0.52) | 8 per month | 1.34 | (0.09) | 2.37 | (1.89) | 8.28 | |
| TLPFF | Teleperformance SE | 0.00 | 0 per month | 3.47 | (0.05) | 4.42 | (7.94) | 19.15 | |
| NTIP | Network 1 Technologies | 0.02 | 6 per month | 2.17 | 0.05 | 4.80 | (3.23) | 11.09 | |
| BV | BrightView Holdings | (0.24) | 8 per month | 2.04 | 0.05 | 3.61 | (2.49) | 18.55 | |
| SXI | Standex International | 2.81 | 7 per month | 1.47 | 0.07 | 3.09 | (2.93) | 12.94 | |
| AIN | Albany International | 0.26 | 10 per month | 1.58 | 0.01 | 3.02 | (2.45) | 9.44 | |
| TNC | Tennant Company | (0.44) | 10 per month | 1.44 | 0.04 | 3.04 | (2.58) | 9.34 | |
| TBI | TrueBlue | (0.43) | 8 per month | 3.00 | 0.15 | 7.41 | (4.30) | 24.28 |
Unifirst Additional Predictive Modules
Most predictive techniques to examine Unifirst price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Unifirst using various technical indicators. When you analyze Unifirst charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Unifirst Predictive Indicators
The successful prediction of Unifirst stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Unifirst, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Unifirst based on analysis of Unifirst hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Unifirst's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Unifirst's related companies. | 2018 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.007072 | 0.006594 | 0.007583 | 0.00682 | Price To Sales Ratio | 1.4 | 1.46 | 1.31 | 0.88 |
Story Coverage note for Unifirst
The number of cover stories for Unifirst depends on current market conditions and Unifirst's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Unifirst is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Unifirst's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Unifirst Short Properties
Unifirst's future price predictability will typically decrease when Unifirst's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Unifirst often depends not only on the future outlook of the potential Unifirst's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Unifirst's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 18.7 M | |
| Cash And Short Term Investments | 175.1 M |
Complementary Tools for Unifirst Stock analysis
When running Unifirst's price analysis, check to measure Unifirst'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 Unifirst is operating at the current time. Most of Unifirst's value examination focuses on studying past and present price action to predict the probability of Unifirst's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Unifirst's price. Additionally, you may evaluate how the addition of Unifirst to your portfolios can decrease your overall portfolio volatility.
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |