Danimer Net Receivables from 2010 to 2024

DNMR Stock  USD 6.50  0.50  8.33%   
Danimer Scientific Net Receivables yearly trend continues to be relatively stable with very little volatility. Net Receivables is likely to drop to about 16.2 M. During the period from 2010 to 2024, Danimer Scientific Net Receivables destribution of quarterly values had range of 19 M from its regression line and mean deviation of  5,496,923. View All Fundamentals
 
Net Receivables  
First Reported
2010-12-31
Previous Quarter
18.9 M
Current Value
16.2 M
Quarterly Volatility
6.7 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Danimer Scientific financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Danimer Scientific's main balance sheet or income statement drivers, such as Interest Expense of 135.5 M, Income Tax Expense of 334.9 K or Tax Provision of 287.7 K, as well as many indicators such as Price To Sales Ratio of 84.69, Dividend Yield of 0.0 or PTB Ratio of 14.22. Danimer financial statements analysis is a perfect complement when working with Danimer Scientific Valuation or Volatility modules.
  
Check out the analysis of Danimer Scientific Correlation against competitors.
To learn how to invest in Danimer Stock, please use our How to Invest in Danimer Scientific guide.

Latest Danimer Scientific's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Danimer Scientific over the last few years. It is Danimer Scientific's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Danimer Scientific's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Danimer Net Receivables Regression Statistics

Arithmetic Mean10,679,902
Geometric Mean9,254,242
Coefficient Of Variation63.01
Mean Deviation5,496,923
Median6,962,000
Standard Deviation6,729,313
Sample Variance45.3T
Range19M
R-Value0.70
Mean Square Error25.1T
R-Squared0.49
Significance0
Slope1,049,006
Total Sum of Squares634T

Danimer Net Receivables History

202416.2 M
202318.9 M
202224.3 M
202124.6 M
20208.1 M
20195.5 M

About Danimer Scientific Financial Statements

Danimer Scientific shareholders use historical fundamental indicators, such as Net Receivables, to determine how well the company is positioned to perform in the future. Although Danimer Scientific investors may analyze each financial statement separately, they are all interrelated. The changes in Danimer Scientific's assets and liabilities, for example, are also reflected in the revenues and expenses on on Danimer Scientific's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Receivables18.9 M16.2 M

Pair Trading with Danimer Scientific

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 Danimer Scientific 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 Danimer Scientific will appreciate offsetting losses from the drop in the long position's value.

Moving together with Danimer Stock

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Moving against Danimer Stock

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The ability to find closely correlated positions to Danimer Scientific could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Danimer Scientific 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 Danimer Scientific - 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 Danimer Scientific to buy it.
The correlation of Danimer Scientific 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 Danimer Scientific moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Danimer Scientific 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 Danimer Scientific 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.
Pair CorrelationCorrelation Matching

Additional Tools for Danimer Stock Analysis

When running Danimer Scientific's price analysis, check to measure Danimer Scientific'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 Danimer Scientific is operating at the current time. Most of Danimer Scientific's value examination focuses on studying past and present price action to predict the probability of Danimer Scientific's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Danimer Scientific's price. Additionally, you may evaluate how the addition of Danimer Scientific to your portfolios can decrease your overall portfolio volatility.