Infrared Long Term Debt from 2010 to 2024
| MSAIW Stock | 0.04 0.01 49.61% |
Long Term Debt | First Reported 2010-12-31 | Previous Quarter 5.7 M | Current Value 11.4 M | Quarterly Volatility 3.6 M |
Check Infrared Cameras financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Infrared Cameras' main balance sheet or income statement drivers, such as Tax Provision of 197.6 K, Depreciation And Amortization of 642 K or Interest Expense of 139.7 K, as well as many indicators such as Price To Sales Ratio of 3.45, Dividend Yield of 4.0E-4 or Days Sales Outstanding of 90.63. Infrared financial statements analysis is a perfect complement when working with Infrared Cameras Valuation or Volatility modules.
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Latest Infrared Cameras' Long Term Debt Growth Pattern
Below is the plot of the Long Term Debt of Infrared Cameras Holdings over the last few years. Long-term debt is a debt that Infrared Cameras Holdings has held for over one year. Long-term debt appears on Infrared Cameras Holdings balance sheet and also includes long-term leases. The most common forms of long term debt are bonds payable, long-term notes payable, mortgage payable, pension liabilities, and lease liabilities. In the corporate world, long-term debt is generally used to fund big-ticket items, such as machinery, buildings, and land. The total of long-term debt reported on Infrared Cameras Holdings balance sheet is the sum of the balances of all categories of long-term debt. It is debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years. Infrared Cameras' Long Term Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Infrared Cameras' overall financial position and show how it may be relating to other accounts over time.
| Long Term Debt | 10 Years Trend |
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Long Term Debt |
| Timeline |
Infrared Long Term Debt Regression Statistics
| Arithmetic Mean | 17,086,427 | |
| Geometric Mean | 16,480,793 | |
| Coefficient Of Variation | 21.27 | |
| Mean Deviation | 2,280,460 | |
| Median | 18,388,000 | |
| Standard Deviation | 3,634,408 | |
| Sample Variance | 13.2T | |
| Range | 12.9M | |
| R-Value | (0.55) | |
| Mean Square Error | 10T | |
| R-Squared | 0.30 | |
| Significance | 0.04 | |
| Slope | (444,065) | |
| Total Sum of Squares | 184.9T |
Infrared Long Term Debt History
Other Fundumenentals of Infrared Cameras Holdings
About Infrared Cameras Financial Statements
Infrared Cameras investors use historical fundamental indicators, such as Infrared Cameras' Long Term Debt, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Infrared Cameras. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Short and Long Term Debt Total | 7.2 M | 12.3 M | |
| Long Term Debt | 5.7 M | 11.4 M | |
| Short and Long Term Debt | 1.4 M | 1.3 M | |
| Long Term Debt To Capitalization | 1.05 | 0.98 |
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When running Infrared Cameras' price analysis, check to measure Infrared Cameras' 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 Infrared Cameras is operating at the current time. Most of Infrared Cameras' value examination focuses on studying past and present price action to predict the probability of Infrared Cameras' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infrared Cameras' price. Additionally, you may evaluate how the addition of Infrared Cameras to your portfolios can decrease your overall portfolio volatility.