Deere Current Liabilities Trend

DE -- USA Stock  

USD 139.21  2.04  1.49%

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 Current Liabilities of Deere Company with missing and latest data points interpolated. The current portion of Total Liabilities

19.24 B

          10 Years Trend
Slightly volatile
 Current Liabilities 

Regression Statistics

Arithmetic Mean  18,312,658,333
Geometric Mean  18,093,194,419
Coefficient Of Variation  15.37
Mean Deviation  2,192,538,889
Median  19,236,100,000
Standard Deviation  2,814,556,864
Range  9,394,000,000
R Value  0.65
R Squared  0.42
Significance  0.022183
Slope  507,250,699

Deere Current Liabilities Over Time

2016-12-31  19,236,100,000 
2017-12-31  19,236,100,000 
2018-12-31  19,236,100,000 

Other Fundumenentals

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  

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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.