SXTPW Long Term Debt from 2010 to 2024
| SXTPW Stock | 0.03 0.01 24.49% |
Long Term Debt | First Reported 2010-12-31 | Previous Quarter 150.3 K | Current Value 142.7 K | Quarterly Volatility 6.5 M |
Check 60 Degrees financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among 60 Degrees' main balance sheet or income statement drivers, such as Tax Provision of 238, Interest Expense of 2.4 M or Selling General Administrative of 2.2 M, as well as many indicators such as . SXTPW financial statements analysis is a perfect complement when working with 60 Degrees Valuation or Volatility modules.
SXTPW | Long Term Debt |
Latest 60 Degrees' Long Term Debt Growth Pattern
Below is the plot of the Long Term Debt of 60 Degrees Pharmaceuticals, over the last few years. Long-term debt is a debt that 60 Degrees Pharmaceu has held for over one year. Long-term debt appears on 60 Degrees Pharmaceuticals, 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 60 Degrees Pharmaceuticals, 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. 60 Degrees' Long Term Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in 60 Degrees' overall financial position and show how it may be relating to other accounts over time.
| Long Term Debt | 10 Years Trend |
|
Long Term Debt |
| Timeline |
SXTPW Long Term Debt Regression Statistics
| Arithmetic Mean | 13,027,932 | |
| Geometric Mean | 7,276,895 | |
| Coefficient Of Variation | 50.03 | |
| Mean Deviation | 5,002,767 | |
| Median | 15,919,194 | |
| Standard Deviation | 6,517,813 | |
| Sample Variance | 42.5T | |
| Range | 18.6M | |
| R-Value | (0.65) | |
| Mean Square Error | 26.2T | |
| R-Squared | 0.43 | |
| Significance | 0.01 | |
| Slope | (953,543) | |
| Total Sum of Squares | 594.7T |
SXTPW Long Term Debt History
Other Fundumenentals of 60 Degrees Pharmaceu
60 Degrees Long Term Debt component correlations
Click cells to compare fundamentals
About 60 Degrees Financial Statements
60 Degrees investors use historical fundamental indicators, such as 60 Degrees' 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 60 Degrees. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Long Term Debt | 150.3 K | 142.7 K | |
| Short and Long Term Debt | 8.8 K | 8.3 K |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for SXTPW Stock Analysis
When running 60 Degrees' price analysis, check to measure 60 Degrees' 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 60 Degrees is operating at the current time. Most of 60 Degrees' value examination focuses on studying past and present price action to predict the probability of 60 Degrees' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 60 Degrees' price. Additionally, you may evaluate how the addition of 60 Degrees to your portfolios can decrease your overall portfolio volatility.