Deere Sales per Share Trend

DE -- USA Stock  

USD 152.81  1.52  1.00%

This module enables investors to look at Deere various fundamental indicators over time in order to gain insight into the company future performance. Macroaxis historical fundamental analysis tools allow evaluation of not only typical financial statement drivers such as Consolidated Income of 1.8 B, Cost of Revenue of 21.5 B or Earning Before Interest and Taxes EBIT of 3.5 B, but also many exotic indicators such as Interest Coverage of 4.6019, Long Term Debt to Equity of 4.2873 or Calculated Tax Rate of 37.0345. This module is a perfect complement to use when analyzing Deere Valuation or Volatility. It can also complement various Deere Technical models. Additionally see analysis of Deere Correlation with competitors.
Showing smoothed Sales per Share of Deere Company with missing and latest data points interpolated. Sales per Share measures the ratio between Revenues USD and Weighted Average Shares.
Sales per Share10 Years Trend
Slightly volatile
 Sales per Share 

Deere Regression Statistics

Arithmetic Mean 79.09
Geometric Mean 75.36
Coefficient Of Variation 26.88
Mean Deviation 15.89
Median 84.53
Standard Deviation 21.26
Sample Variance 451.83
Range 71.14
R Value 0.74
Mean Square Error 227.96
R Squared 0.54
Significance 0.006379
Slope 4.34
Total Sum of Squares 4,970

Deere Sales per Share Over Time

2016-12-31  84.53 
2017-12-31  84.53 
2018-12-31  99.45 

Other Fundumenentals of Deere Company

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Deere Fundamental Drivers

Deere Company Fundamental Market Drivers

Short Percent Of Float1.72%
Forward Price Earnings13.08
Shares Short Prior Month6.13M
Average Daily Volume Last 10 Day2.05M
Average Daily Volume In Three Month2.47M
Date Short InterestAugust 31, 2018
Fifty Day Average144.40
Two Hundred Day Average146.77

Deere Upcoming Events

Deere Upcoming Company Events

Upcoming Quarterly ReportMay 19, 2017
Next Earnings ReportAugust 18, 2017
Additionally see analysis of Deere Correlation with competitors. Please also try Cryptocurrency Arbitrage module to find pairs of digital assets on multiple exchanges that are traded at a risk free arbitrage.