Airship Operating Income from 2010 to 2024
| AISP Stock | 4.37 0.15 3.55% |
Operating Income | First Reported 2010-12-31 | Previous Quarter -6.6 M | Current Value -7 M | Quarterly Volatility 911.3 K |
Check Airship AI financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Airship AI's main balance sheet or income statement drivers, such as Tax Provision of 12.1 K, Interest Income of 37 K or Depreciation And Amortization of 438.8 K, as well as many indicators such as Price To Sales Ratio of 1.8, Dividend Yield of 0.0 or Days Sales Outstanding of 30.71. Airship financial statements analysis is a perfect complement when working with Airship AI Valuation or Volatility modules.
Airship |
Latest Airship AI's Operating Income Growth Pattern
Below is the plot of the Operating Income of Airship AI Holdings over the last few years. Operating Income is the amount of profit realized from Airship AI Holdings operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Airship AI Holdings is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Airship AI's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Airship AI's overall financial position and show how it may be relating to other accounts over time.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Airship Operating Income Regression Statistics
| Arithmetic Mean | (5,994,757) | |
| Coefficient Of Variation | (15.20) | |
| Mean Deviation | 422,793 | |
| Median | (6,123,732) | |
| Standard Deviation | 911,321 | |
| Sample Variance | 830.5B | |
| Range | 4.1M | |
| R-Value | 0.13 | |
| Mean Square Error | 879.1B | |
| R-Squared | 0.02 | |
| Significance | 0.64 | |
| Slope | 26,640 | |
| Total Sum of Squares | 11.6T |
Airship Operating Income History
About Airship AI Financial Statements
Airship AI shareholders use historical fundamental indicators, such as Operating Income, to determine how well the company is positioned to perform in the future. Although Airship AI investors may analyze each financial statement separately, they are all interrelated. The changes in Airship AI's assets and liabilities, for example, are also reflected in the revenues and expenses on on Airship AI's 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 | ||
| Operating Income | -6.6 M | -7 M |
Pair Trading with Airship AI
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 Airship AI 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 Airship AI will appreciate offsetting losses from the drop in the long position's value.Moving together with Airship Stock
Moving against Airship Stock
| 0.73 | VRNS | Varonis Systems | PairCorr |
| 0.72 | MQ | Marqeta | PairCorr |
| 0.72 | VERI | Veritone | PairCorr |
| 0.64 | FAAS | DigiAsia Corp Symbol Change | PairCorr |
| 0.61 | DOCN | DigitalOcean Holdings | PairCorr |
The ability to find closely correlated positions to Airship AI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Airship AI 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 Airship AI - 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 Airship AI Holdings to buy it.
The correlation of Airship AI 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 Airship AI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Airship AI Holdings 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 Airship AI 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 Airship Stock Analysis
When running Airship AI's price analysis, check to measure Airship AI'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 Airship AI is operating at the current time. Most of Airship AI's value examination focuses on studying past and present price action to predict the probability of Airship AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airship AI's price. Additionally, you may evaluate how the addition of Airship AI to your portfolios can decrease your overall portfolio volatility.