Armata Free Cash Flow from 2010 to 2024
| ARMP Stock | USD 2.30 0.05 2.13% |
Free Cash Flow | First Reported 1994-09-30 | Previous Quarter -11.5 M | Current Value -9.2 M | Quarterly Volatility 3.2 M |
Check Armata Pharmaceuticals financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Armata Pharmaceuticals' main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.1 M, Interest Expense of 2.8 M or Selling General Administrative of 11.1 M, as well as many indicators such as Price To Sales Ratio of 24.52, Dividend Yield of 0.0175 or Days Sales Outstanding of 256. Armata financial statements analysis is a perfect complement when working with Armata Pharmaceuticals Valuation or Volatility modules.
Armata | Free Cash Flow |
Latest Armata Pharmaceuticals' Free Cash Flow Growth Pattern
Below is the plot of the Free Cash Flow of Armata Pharmaceuticals over the last few years. It is the amount of cash a company generates after accounting for cash outflows to support operations and maintain its capital assets. Armata Pharmaceuticals' Free Cash Flow historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Armata Pharmaceuticals' overall financial position and show how it may be relating to other accounts over time.
| Free Cash Flow | 10 Years Trend |
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Free Cash Flow |
| Timeline |
Armata Free Cash Flow Regression Statistics
| Arithmetic Mean | (18,773,777) | |
| Coefficient Of Variation | (87.54) | |
| Mean Deviation | 12,420,236 | |
| Median | (10,868,000) | |
| Standard Deviation | 16,434,729 | |
| Sample Variance | 270.1T | |
| Range | 51.2M | |
| R-Value | (0.83) | |
| Mean Square Error | 88.2T | |
| R-Squared | 0.70 | |
| Significance | 0.0001 | |
| Slope | (3,067,895) | |
| Total Sum of Squares | 3781.4T |
Armata Free Cash Flow History
Other Fundumenentals of Armata Pharmaceuticals
Armata Pharmaceuticals Free Cash Flow component correlations
About Armata Pharmaceuticals Financial Statements
Armata Pharmaceuticals shareholders use historical fundamental indicators, such as Free Cash Flow, to determine how well the company is positioned to perform in the future. Although Armata Pharmaceuticals investors may analyze each financial statement separately, they are all interrelated. The changes in Armata Pharmaceuticals' assets and liabilities, for example, are also reflected in the revenues and expenses on on Armata Pharmaceuticals' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Free Cash Flow | -55.6 M | -52.8 M | |
| Free Cash Flow Yield | (0.48) | (0.50) | |
| Free Cash Flow Per Share | (1.54) | (1.62) | |
| EV To Free Cash Flow | (4.03) | (4.23) | |
| Price To Free Cash Flows Ratio | (2.10) | (2.21) | |
| Free Cash Flow Operating Cash Flow Ratio | 1.17 | 1.39 |
Pair Trading with Armata Pharmaceuticals
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 Armata Pharmaceuticals 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 Armata Pharmaceuticals will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Armata Pharmaceuticals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Armata Pharmaceuticals 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 Armata Pharmaceuticals - 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 Armata Pharmaceuticals to buy it.
The correlation of Armata Pharmaceuticals 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 Armata Pharmaceuticals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Armata Pharmaceuticals 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 Armata Pharmaceuticals 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.Additional Tools for Armata Stock Analysis
When running Armata Pharmaceuticals' price analysis, check to measure Armata Pharmaceuticals' 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 Armata Pharmaceuticals is operating at the current time. Most of Armata Pharmaceuticals' value examination focuses on studying past and present price action to predict the probability of Armata Pharmaceuticals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Armata Pharmaceuticals' price. Additionally, you may evaluate how the addition of Armata Pharmaceuticals to your portfolios can decrease your overall portfolio volatility.