Decision Average Receivables from 2010 to 2026
| DECN Stock | USD 0.0001 0.00 0.00% |
Average Receivables | First Reported 2010-12-31 | Previous Quarter 1.1 M | Current Value 1.7 M | Quarterly Volatility 719.2 K |
Check Decision Diagnostics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Decision Diagnostics' main balance sheet or income statement drivers, such as Interest Expense of 32.9 M, Selling General Administrative of 2.6 M or Total Revenue of 1.7 M, as well as many indicators such as Price To Sales Ratio of 2.65, Dividend Yield of 0.068 or PTB Ratio of 7.9. Decision financial statements analysis is a perfect complement when working with Decision Diagnostics Valuation or Volatility modules.
Decision | Average Receivables | Build AI portfolio with Decision Stock |
Latest Decision Diagnostics' Average Receivables Growth Pattern
Below is the plot of the Average Receivables of Decision Diagnostics over the last few years. It is Decision Diagnostics' Average Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Decision Diagnostics' overall financial position and show how it may be relating to other accounts over time.
| Average Receivables | 10 Years Trend |
|
Average Receivables |
| Timeline |
Decision Average Receivables Regression Statistics
| Arithmetic Mean | 1,053,979 | |
| Geometric Mean | 886,108 | |
| Coefficient Of Variation | 68.24 | |
| Mean Deviation | 486,165 | |
| Median | 994,460 | |
| Standard Deviation | 719,227 | |
| Sample Variance | 517.3B | |
| Range | 2.3M | |
| R-Value | (0.07) | |
| Mean Square Error | 548.8B | |
| R-Squared | 0.01 | |
| Significance | 0.78 | |
| Slope | (10,382) | |
| Total Sum of Squares | 8.3T |
Decision Average Receivables History
About Decision Diagnostics Financial Statements
Decision Diagnostics investors utilize fundamental indicators, such as Average Receivables, to predict how Decision Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Average Receivables | 1.1 M | 1.7 M |
Pair Trading with Decision Diagnostics
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 Decision Diagnostics 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 Decision Diagnostics will appreciate offsetting losses from the drop in the long position's value.Moving together with Decision Stock
Moving against Decision Stock
The ability to find closely correlated positions to Decision Diagnostics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Decision Diagnostics 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 Decision Diagnostics - 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 Decision Diagnostics to buy it.
The correlation of Decision Diagnostics 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 Decision Diagnostics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Decision Diagnostics 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 Decision Diagnostics 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.Check out the analysis of Decision Diagnostics Correlation against competitors. To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Is Health Care Technology 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 Decision Diagnostics. If investors know Decision 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 Decision Diagnostics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.02) | Revenue Per Share | Quarterly Revenue Growth (0) | Return On Assets | Return On Equity |
The market value of Decision Diagnostics is measured differently than its book value, which is the value of Decision that is recorded on the company's balance sheet. Investors also form their own opinion of Decision Diagnostics' value that differs from its market value or its book value, called intrinsic value, which is Decision Diagnostics' 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 Decision Diagnostics' market value can be influenced by many factors that don't directly affect Decision Diagnostics' 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 Decision Diagnostics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Decision Diagnostics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Decision Diagnostics' 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.