Airship Capital Lease Obligations from 2010 to 2024
| AISP Stock | 3.16 0.16 5.33% |
Capital Lease Obligations | First Reported 2010-12-31 | Previous Quarter 957 K | Current Value 1 M | Quarterly Volatility 387.1 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 Capital Lease Obligations Growth Pattern
Below is the plot of the Capital Lease Obligations of Airship AI Holdings over the last few years. Airship AI Holdings capital lease obligations are the amount due for long-term lease agreements that are nearly equivalent to Airship AI asset purchases. For example, Airship AI can use a capital lease to finance the purchase of an asset without ever buying it. A capital lease gives companies such as Airship AI control over an asset for a big portion of its life. It is the total obligations of a company under capital leases, which are lease agreements that transfer substantially all risks and rewards of ownership to the lessee. Airship AI's Capital Lease Obligations 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.
| Capital Lease Obligations | 10 Years Trend |
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Capital Lease Obligations |
| Timeline |
Airship Capital Lease Obligations Regression Statistics
| Arithmetic Mean | 186,261 | |
| Geometric Mean | 0.00 | |
| Coefficient Of Variation | 207.81 | |
| Mean Deviation | 298,017 | |
| Median | 0.00 | |
| Standard Deviation | 387,066 | |
| Sample Variance | 149.8B | |
| Range | 1M | |
| R-Value | 0.70 | |
| Mean Square Error | 82.5B | |
| R-Squared | 0.49 | |
| Significance | 0 | |
| Slope | 60,486 | |
| Total Sum of Squares | 2.1T |
Airship Capital Lease Obligations History
About Airship AI Financial Statements
Airship AI shareholders use historical fundamental indicators, such as Capital Lease Obligations, 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 | ||
| Capital Lease Obligations | 957 K | 1 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 against Airship Stock
| 0.71 | MQ | Marqeta | PairCorr |
| 0.68 | VRNS | Varonis Systems | PairCorr |
| 0.67 | VERI | Veritone | PairCorr |
| 0.61 | FAAS | DigiAsia Corp Symbol Change | PairCorr |
| 0.5 | 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.