Queens Other Stockholder Equity vs Non Current Liabilities Total Analysis
QRC Stock | 0.77 0.01 1.28% |
Queens Road financial indicator trend analysis is much more than just breaking down Queens Road Capital prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Queens Road Capital is a good investment. Please check the relationship between Queens Road Other Stockholder Equity and its Non Current Liabilities Total accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Queens Road Capital. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Other Stockholder Equity vs Non Current Liabilities Total
Other Stockholder Equity vs Non Current Liabilities Total Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Queens Road Capital Other Stockholder Equity account and Non Current Liabilities Total. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Queens Road's Other Stockholder Equity and Non Current Liabilities Total is 0.46. Overlapping area represents the amount of variation of Other Stockholder Equity that can explain the historical movement of Non Current Liabilities Total in the same time period over historical financial statements of Queens Road Capital, assuming nothing else is changed. The correlation between historical values of Queens Road's Other Stockholder Equity and Non Current Liabilities Total 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 Stockholder Equity of Queens Road Capital are associated (or correlated) with its Non Current Liabilities Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Non Current Liabilities Total has no effect on the direction of Other Stockholder Equity i.e., Queens Road's Other Stockholder Equity and Non Current Liabilities Total go up and down completely randomly.
Correlation Coefficient | 0.46 |
Relationship Direction | Positive |
Relationship Strength | Weak |
Other Stockholder Equity
Non Current Liabilities Total
Most indicators from Queens Road's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Queens Road Capital 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 Equity Center to better understand how to build diversified portfolios, which includes a position in Queens Road Capital. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. As of the 23rd of November 2024, Enterprise Value is likely to grow to about 208.2 M, while Selling General Administrative is likely to drop about 3.3 M.
2021 | 2022 | 2023 | 2024 (projected) | Cost Of Revenue | 98.9K | 251.4K | 226.2K | 292.7K | Research Development | 104.4K | 430.2K | 494.8K | 519.5K |
Queens Road fundamental ratios Correlations
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Queens Road Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Queens Road fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 79.8M | 149.2M | 232.6M | 237.2M | 272.8M | 286.5M | |
Other Current Liab | 464.0K | 169.4K | 968.7K | 937.5K | 1.1M | 1.1M | |
Total Current Liabilities | 473.8K | 172.7K | 1.2M | 1.2M | 1.3M | 1.4M | |
Total Stockholder Equity | 79.3M | 149.1M | 231.1M | 235.9M | 271.3M | 284.9M | |
Net Debt | (25.0M) | (2.2M) | (34.0M) | (14.4M) | (13.0M) | (12.3M) | |
Retained Earnings | (16.5M) | 50.5M | 43.6M | 41.5M | 47.7M | 50.1M | |
Accounts Payable | 9.8K | 3.3K | 31.4K | 39.1K | 35.2K | 33.5K | |
Cash | 25.0M | 2.2M | 34.5M | 14.7M | 17.0M | 17.8M | |
Non Current Assets Total | 54.5M | 146.4M | 197.2M | 220.9M | 254.0M | 266.7M | |
Cash And Short Term Investments | 25.0M | 2.2M | 34.5M | 14.7M | 17.0M | 17.8M | |
Net Receivables | 293.1K | 621.5K | 721.0K | 1.5M | 1.7M | 1.8M | |
Common Stock Shares Outstanding | 172.3M | 288.4M | 388.8M | 488.3M | 561.5M | 589.6M | |
Liabilities And Stockholders Equity | 79.8M | 149.2M | 232.6M | 237.2M | 272.8M | 286.5M | |
Other Current Assets | 416.5K | 846.5K | 111.2K | 2.2M | 2.5M | 2.6M | |
Other Stockholder Equity | (3.0M) | (63.8M) | (1.7M) | (56.2M) | (50.6M) | (48.0M) | |
Total Liab | 473.8K | 172.7K | 1.5M | 1.3M | 1.5M | 1.6M | |
Total Current Assets | 25.3M | 2.8M | 35.3M | 16.3M | 18.8M | 19.7M | |
Accumulated Other Comprehensive Income | 12.9M | 12.3M | 17.1M | 19.7M | 22.6M | 23.7M | |
Common Stock | 86.0M | 86.2M | 170.4M | 174.8M | 201.0M | 211.0M | |
Non Currrent Assets Other | (104.3M) | (188.6M) | (304.6M) | (321.0M) | (288.9M) | (274.4M) | |
Non Current Liabilities Total | 619.2K | 218.2K | 315.8K | 126.0K | 113.4K | 107.7K | |
Inventory | (3.9K) | (391.2K) | (797.0K) | (2.0M) | (1.8M) | (1.8M) |
Pair Trading with Queens Road
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 Queens Road 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 Queens Road will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Queens Road could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Queens Road 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 Queens Road - 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 Queens Road Capital to buy it.
The correlation of Queens Road 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 Queens Road moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Queens Road Capital 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 Queens Road 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.Other Information on Investing in Queens Stock
Balance Sheet is a snapshot of the financial position of Queens Road Capital at a specified time, usually calculated after every quarter, six months, or one year. Queens Road Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Queens Road and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Queens currently owns. An asset can also be divided into two categories, current and non-current.