Twin Net Debt from 2010 to 2026
| TWNP Stock | 0.1 0.01 5.00% |
Net Debt | First Reported 2010-12-31 | Previous Quarter 644.5 M | Current Value 500 M | Quarterly Volatility 117.7 M |
Check Twin Hospitality financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Twin Hospitality's main balance sheet or income statement drivers, such as Depreciation And Amortization of 16.3 M, Interest Expense of 36.8 M or Selling General Administrative of 37.6 M, as well as many indicators such as Price To Sales Ratio of 4.37, Dividend Yield of 0.0 or Days Sales Outstanding of 2.36. Twin financial statements analysis is a perfect complement when working with Twin Hospitality Valuation or Volatility modules.
Twin | Net Debt | Build AI portfolio with Twin Stock |
Evaluating Twin Hospitality's Net Debt across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Twin Hospitality Group's fundamental strength.
Latest Twin Hospitality's Net Debt Growth Pattern
Below is the plot of the Net Debt of Twin Hospitality Group over the last few years. It is the total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds. Twin Hospitality's Net Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Twin Hospitality's overall financial position and show how it may be relating to other accounts over time.
| Net Debt | 10 Years Trend |
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Net Debt |
| Timeline |
Twin Net Debt Regression Statistics
| Arithmetic Mean | 354,169,086 | |
| Geometric Mean | 339,701,598 | |
| Coefficient Of Variation | 33.23 | |
| Mean Deviation | 93,979,426 | |
| Median | 292,721,000 | |
| Standard Deviation | 117,704,117 | |
| Sample Variance | 13854.3T | |
| Range | 351.8M | |
| R-Value | 0.72 | |
| Mean Square Error | 7185.9T | |
| R-Squared | 0.51 | |
| Significance | 0 | |
| Slope | 16,706,784 | |
| Total Sum of Squares | 221668.1T |
Twin Net Debt History
Other Fundumenentals of Twin Hospitality
Twin Hospitality Net Debt component correlations
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About Twin Hospitality Financial Statements
Twin Hospitality shareholders use historical fundamental indicators, such as Net Debt, to determine how well the company is positioned to perform in the future. Although Twin Hospitality investors may analyze each financial statement separately, they are all interrelated. The changes in Twin Hospitality's assets and liabilities, for example, are also reflected in the revenues and expenses on on Twin Hospitality'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 | ||
| Net Debt | 644.5 M | 500 M | |
| Net Debt To EBITDA | 16.40 | 20.15 |
Pair Trading with Twin Hospitality
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 Twin Hospitality 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 Twin Hospitality will appreciate offsetting losses from the drop in the long position's value.Moving together with Twin Stock
Moving against Twin Stock
The ability to find closely correlated positions to Twin Hospitality could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Twin Hospitality 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 Twin Hospitality - 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 Twin Hospitality Group to buy it.
The correlation of Twin Hospitality 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 Twin Hospitality moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Twin Hospitality 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 Twin Hospitality 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 Twin Stock Analysis
When running Twin Hospitality's price analysis, check to measure Twin Hospitality'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 Twin Hospitality is operating at the current time. Most of Twin Hospitality's value examination focuses on studying past and present price action to predict the probability of Twin Hospitality's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Twin Hospitality's price. Additionally, you may evaluate how the addition of Twin Hospitality to your portfolios can decrease your overall portfolio volatility.