Xenia Other Current Liab vs Long Term Debt Analysis
XHR Stock | USD 15.53 0.15 0.96% |
Xenia Hotels financial indicator trend analysis is more than just analyzing Xenia Hotels Resorts current accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Xenia Hotels Resorts is a good investment. Please check the relationship between Xenia Hotels Other Current Liab and its Long Term Debt accounts. Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Xenia Hotels Resorts. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in rate.
Other Current Liab vs Long Term Debt
Other Current Liab vs Long Term Debt Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Xenia Hotels Resorts Other Current Liab account and Long Term Debt. At this time, the significance of the direction appears to have strong relationship.
The correlation between Xenia Hotels' Other Current Liab and Long Term Debt is 0.73. Overlapping area represents the amount of variation of Other Current Liab that can explain the historical movement of Long Term Debt in the same time period over historical financial statements of Xenia Hotels Resorts, assuming nothing else is changed. The correlation between historical values of Xenia Hotels' Other Current Liab and Long Term Debt is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Other Current Liab of Xenia Hotels Resorts are associated (or correlated) with its Long Term Debt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Long Term Debt has no effect on the direction of Other Current Liab i.e., Xenia Hotels' Other Current Liab and Long Term Debt go up and down completely randomly.
Correlation Coefficient | 0.73 |
Relationship Direction | Positive |
Relationship Strength | Significant |
Other Current Liab
Long Term Debt
Long-term debt is a debt that Xenia Hotels Resorts has held for over one year. Long-term debt appears on Xenia Hotels Resorts 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 Xenia Hotels Resorts balance sheet is the sum of the balances of all categories of long-term debt. 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.Most indicators from Xenia Hotels' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Xenia Hotels Resorts current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Xenia Hotels Resorts. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in rate. As of 11/26/2024, Enterprise Value is likely to grow to about 3.3 B, while Selling General Administrative is likely to drop slightly above 33.9 M.
2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 81.3M | 82.7M | 85.0M | 65.2M | Depreciation And Amortization | 648.3M | 888.7M | 132.0M | 125.4M |
Xenia Hotels fundamental ratios Correlations
Click cells to compare fundamentals
Xenia Hotels Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Xenia Hotels fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 3.3B | 3.1B | 3.1B | 3.1B | 2.9B | 2.5B | |
Other Current Liab | 31.8M | 202K | 86.4M | 11.5M | 10.8M | 10.2M | |
Total Current Liabilities | 120.0M | 62.9M | 86.4M | 118.6M | 118.7M | 153.1M | |
Total Stockholder Equity | 1.7B | 1.6B | 1.4B | 1.4B | 1.3B | 1.3B | |
Property Plant And Equipment Net | 46.2M | 22.6M | 19.6M | 18.7M | 17.8M | 16.9M | |
Net Debt | 1.2B | 984.7M | 976.9M | 1.1B | 1.2B | 1.1B | |
Accounts Payable | 88.2M | 62.7M | 84.1M | 107.1M | 102.4M | 88.4M | |
Cash | 110.8M | 389.8M | 517.4M | 305.1M | 164.7M | 211.4M | |
Non Current Assets Total | 3.0B | 2.6B | 2.5B | 2.7B | 4.9M | 4.7M | |
Non Currrent Assets Other | 3.0B | 2.6B | 2.4B | 2.7B | 26.5M | 25.2M | |
Other Assets | 29.9M | 44.4M | 136.6M | 130.8M | 2.6B | 2.8B | |
Cash And Short Term Investments | 110.8M | 389.8M | 517.4M | 305.1M | 223.1M | 216.8M | |
Net Receivables | 36.5M | 9.0M | 28.5M | 37.6M | 32.4M | 30.2M | |
Good Will | 39.8M | 34.4M | 25.0M | 4.9M | 4.4M | 4.1M | |
Common Stock Shares Outstanding | 112.9M | 113.5M | 113.8M | 114.4M | 108.4M | 122.4M | |
Non Current Liabilities Total | 1.4B | 1.4B | 1.6B | 1.5B | 1.5B | 1.5B | |
Other Current Assets | (231.5M) | (437.8M) | (582.8M) | (403.5M) | 58.3M | 55.4M | |
Total Liab | 1.5B | 1.5B | 1.6B | 1.6B | 1.6B | 1.2B | |
Total Current Assets | 231.5M | 437.8M | 617.4M | 403.5M | 258.0M | 373.3M | |
Intangible Assets | 29.0M | 1.6M | 596K | 210K | 48K | 45.6K | |
Short Long Term Debt Total | 1.3B | 1.4B | 1.5B | 1.4B | 1.4B | 1.1B | |
Other Liab | 42.6M | 36.3M | 68.6M | 52.5M | 60.4M | 48.8M | |
Retained Earnings | (318.4M) | (513.0M) | (656.5M) | (623.2M) | (647.2M) | (679.6M) | |
Long Term Debt | 1.3B | 1.4B | 1.5B | 1.4B | 1.4B | 1.5B | |
Short Term Investments | 13.0M | 13K | 2.4B | 2.6B | 2.5M | 2.4M | |
Liabilities And Stockholders Equity | 3.3B | 3.1B | 3.1B | 3.1B | 2.9B | 2.5B | |
Inventory | (13.0M) | (13K) | 476.7M | 1.0 | (2.5M) | (2.4M) | |
Other Stockholder Equity | 2.1B | 2.6B | 2.7B | 2.1B | 1.9B | 2.4B | |
Accumulated Other Comprehensive Income | (4.6M) | (14.4M) | (4.1M) | (623.2M) | 2.4M | 2.6M | |
Net Tangible Assets | 1.7B | 1.5B | 1.4B | 1.4B | 1.3B | 1.3B | |
Short Term Debt | 4.4M | 4.7M | 4.7M | 5.5M | 5.5M | 5.2M | |
Common Stock | 1.1M | 1.1M | 1.1M | 1.1M | 1.0M | 884.3K | |
Property Plant Equipment | 2.9B | 2.6B | 2.4B | 2.6B | 3.0B | 2.9B | |
Current Deferred Revenue | (4.4M) | (4.7M) | (88.7M) | (5.5M) | (6.4M) | (6.7M) | |
Noncontrolling Interest In Consolidated Entity | 36.1M | 12.8M | 7.1M | 18.8M | 16.9M | 17.2M | |
Common Stock Total Equity | 1.1M | 1.1M | 1.1M | 1.1M | 1.3M | 1.2M | |
Retained Earnings Total Equity | (318.4M) | (513.0M) | (656.5M) | (623.2M) | (560.9M) | (588.9M) | |
Long Term Debt Total | 1.3B | 1.4B | 1.5B | 1.4B | 1.6B | 1.4B |
Pair Trading with Xenia Hotels
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 Xenia Hotels 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 Xenia Hotels will appreciate offsetting losses from the drop in the long position's value.Moving together with Xenia Stock
Moving against Xenia Stock
0.58 | NTST | Netstreit Corp | PairCorr |
0.47 | HPP | Hudson Pacific Properties | PairCorr |
0.36 | NNN | National Retail Prop | PairCorr |
0.33 | O | Realty Income | PairCorr |
The ability to find closely correlated positions to Xenia Hotels could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xenia Hotels 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 Xenia Hotels - 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 Xenia Hotels Resorts to buy it.
The correlation of Xenia Hotels 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 Xenia Hotels moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xenia Hotels Resorts 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 Xenia Hotels 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 Xenia Stock Analysis
When running Xenia Hotels' price analysis, check to measure Xenia Hotels' 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 Xenia Hotels is operating at the current time. Most of Xenia Hotels' value examination focuses on studying past and present price action to predict the probability of Xenia Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xenia Hotels' price. Additionally, you may evaluate how the addition of Xenia Hotels to your portfolios can decrease your overall portfolio volatility.