Deere Company Stock Market Value

DE Stock  USD 487.59  3.04  0.63%   
Deere's market value is the price at which a share of Deere trades on a public exchange. It measures the collective expectations of Deere Company investors about its performance. Deere is trading at 487.59 as of the 26th of February 2025, a 0.63% up since the beginning of the trading day. The stock's lowest day price was 482.85.
With this module, you can estimate the performance of a buy and hold strategy of Deere Company and determine expected loss or profit from investing in Deere over a given investment horizon. Check out Deere Correlation, Deere Volatility and Deere Alpha and Beta module to complement your research on Deere.
Symbol

Deere Company Price To Book Ratio

Is Agricultural & Farm Machinery 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 Deere. If investors know Deere 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 Deere 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
(0.49)
Dividend Share
6.03
Earnings Share
22.58
Revenue Per Share
174.701
Quarterly Revenue Growth
(0.30)
The market value of Deere Company is measured differently than its book value, which is the value of Deere that is recorded on the company's balance sheet. Investors also form their own opinion of Deere's value that differs from its market value or its book value, called intrinsic value, which is Deere'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 Deere's market value can be influenced by many factors that don't directly affect Deere'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 Deere's value and its price as these two are different measures arrived at by different means. Investors typically determine if Deere is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Deere'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.

Deere '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 Deere'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 Deere.
0.00
11/04/2023
No Change 0.00  0.0 
In 1 year 3 months and 26 days
02/26/2025
0.00
If you would invest  0.00  in Deere on November 4, 2023 and sell it all today you would earn a total of 0.00 from holding Deere Company or generate 0.0% return on investment in Deere over 480 days. Deere is related to or competes with AGCO, Nikola Corp, PACCAR, Lindsay, Alamo, Caterpillar, and Manitowoc. Deere Company manufactures and distributes various equipment worldwide More

Deere 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 Deere'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 Deere Company upside and downside potential and time the market with a certain degree of confidence.

Deere Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Deere's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deere's standard deviation. In reality, there are many statistical measures that can use Deere historical prices to predict the future Deere's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deere'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
438.83489.65491.30
Details
Intrinsic
Valuation
LowRealHigh
438.83511.76513.41
Details
Naive
Forecast
LowNextHigh
498.13499.78501.43
Details
24 Analysts
Consensus
LowTargetHigh
422.67464.48515.57
Details

Deere Company Backtested Returns

At this point, Deere is very steady. Deere Company secures Sharpe Ratio (or Efficiency) of 0.059, which denotes the company had a 0.059 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Deere Company, which you can use to evaluate the volatility of the firm. Please confirm Deere's Downside Deviation of 1.36, mean deviation of 1.38, and Semi Deviation of 1.09 to check if the risk estimate we provide is consistent with the expected return of 0.0987%. Deere has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.83, which means possible diversification benefits within a given portfolio. As returns on the market increase, Deere's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deere is expected to be smaller as well. Deere Company right now shows a risk of 1.67%. Please confirm Deere Company jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to decide if Deere Company will be following its price patterns.

Auto-correlation

    
  0.14  

Insignificant predictability

Deere Company has insignificant predictability. Overlapping area represents the amount of predictability between Deere time series from 4th of November 2023 to 1st of July 2024 and 1st of July 2024 to 26th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Deere Company price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Deere price fluctuation can be explain by its past prices.
Correlation Coefficient0.14
Spearman Rank Test0.24
Residual Average0.0
Price Variance1578.4

Deere Company lagged returns against current returns

Autocorrelation, which is Deere 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 Deere's stock expected returns. We can calculate the autocorrelation of Deere returns to help us make a trade decision. For example, suppose you find that Deere 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  

Deere 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 Deere stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deere stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deere stock over time.
   Current vs Lagged Prices   
       Timeline  

Deere Lagged Returns

When evaluating Deere's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deere stock have on its future price. Deere 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, Deere autocorrelation shows the relationship between Deere stock current value and its past values and can show if there is a momentum factor associated with investing in Deere Company.
   Regressed Prices   
       Timeline  

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A focus of Deere technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Deere trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...