Oxford Free Cash Flow Per Share vs Ptb Ratio Analysis
OXSQ Stock | USD 2.66 0.01 0.38% |
Oxford Square financial indicator trend analysis is much more than just breaking down Oxford Square Capital prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Oxford Square Capital is a good investment. Please check the relationship between Oxford Square Free Cash Flow Per Share and its Ptb Ratio accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Oxford Square 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 state.
Free Cash Flow Per Share vs Ptb Ratio
Free Cash Flow Per Share vs Ptb Ratio Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Oxford Square Capital Free Cash Flow Per Share account and Ptb Ratio. At this time, the significance of the direction appears to have weak contrarian relationship.
The correlation between Oxford Square's Free Cash Flow Per Share and Ptb Ratio is -0.11. Overlapping area represents the amount of variation of Free Cash Flow Per Share that can explain the historical movement of Ptb Ratio in the same time period over historical financial statements of Oxford Square Capital, assuming nothing else is changed. The correlation between historical values of Oxford Square's Free Cash Flow Per Share and Ptb Ratio is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Free Cash Flow Per Share of Oxford Square Capital are associated (or correlated) with its Ptb Ratio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Ptb Ratio has no effect on the direction of Free Cash Flow Per Share i.e., Oxford Square's Free Cash Flow Per Share and Ptb Ratio go up and down completely randomly.
Correlation Coefficient | -0.11 |
Relationship Direction | Negative |
Relationship Strength | Insignificant |
Free Cash Flow Per Share
The amount of cash a company generates after accounting for capital expenditures, divided by the number of outstanding shares. It represents the cash available for dividends, share buybacks, or debt repayment per share.Ptb Ratio
Price-to-Book ratio, a financial valuation metric used to compare a company's current market price to its book value. It provides insight into the value that market participants place on the company's equity relative to its net asset value.Most indicators from Oxford Square's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Oxford Square 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 Oxford Square 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 state. As of 12/11/2024, Selling General Administrative is likely to grow to about 2.2 T. Also, Issuance Of Capital Stock is likely to grow to about 22.7 M
2023 | 2024 (projected) | Non Recurring | 295.5K | 177.9K | Interest Income | 33.1M | 27.9M |
Oxford Square fundamental ratios Correlations
Click cells to compare fundamentals
Oxford Square Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Oxford Square fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 385.3M | 357.7M | 433.5M | 328.0M | 277.7M | 486.5M | |
Other Current Liab | 3.7M | (632.2K) | (478.2K) | (1.2M) | (1.2M) | (1.3M) | |
Total Stockholder Equity | 248.0M | 225.4M | 244.6M | 138.7M | 151.3M | 143.7M | |
Net Debt | 120.0M | 47.7M | 176.4M | 177.3M | 117.2M | 128.9M | |
Cash | 14.4M | 59.1M | 9.0M | 9.0M | 5.7M | 5.5M | |
Other Assets | 2.6M | 597.2K | 615.1K | (309.6M) | (5.7T) | (6.0T) | |
Cash And Short Term Investments | 14.4M | 59.1M | 9.0M | 319.4M | 5.7T | 6.0T | |
Net Receivables | 3.5M | 2.3M | 3.1M | 3.5M | 4.0M | 4.7M | |
Common Stock Shares Outstanding | 47.8M | 49.5M | 49.6M | 49.8M | 53.9M | 43.9M | |
Liabilities And Stockholders Equity | 385.3M | 357.7M | 433.5M | 328.0M | 277.7M | 486.5M | |
Other Current Assets | (19.9M) | (62.4M) | (12.1M) | (12.5M) | (9.7M) | (9.2M) | |
Other Stockholder Equity | 408.2M | 452.7M | 434.5M | 592.6M | 458.1M | 463.9M | |
Total Liab | 137.3M | 132.2M | 188.9M | 189.3M | 126.4M | 170.4M | |
Total Current Assets | 17.9M | 61.4M | 12.1M | 322.9M | 5.7T | 5.5T | |
Accumulated Other Comprehensive Income | 248.0M | 225.4M | 244.6M | 138.7M | 151.3M | 158.9M | |
Common Stock | 484.5K | 495.9K | 496.9K | 498.4K | 593.0K | 428.3K | |
Non Current Assets Total | 364.8M | 295.6M | 420.8M | 314.7M | 266.9M | 462.0M | |
Non Currrent Assets Other | (385.3M) | (357.7M) | (433.5M) | (328.0M) | (266.9M) | (280.2M) | |
Total Current Liabilities | 632.2K | 478.2K | 1.2M | 186.3M | 2.2M | 2.1M | |
Retained Earnings | (204.3M) | (227.7M) | (190.4M) | (296.6M) | (307.4M) | (292.0M) | |
Short Long Term Debt Total | 134.4T | 106.9M | 185.4M | 186.3M | 123.0M | 116.8M | |
Accounts Payable | 488.6K | 632.2K | 478.2K | 1.2M | 1.2M | 1.1M | |
Non Current Liabilities Total | 134.4M | 106.9M | 185.4M | 3.0M | 126.4M | 155.3M | |
Long Term Debt | 62.3M | 148.2M | 134.4M | 186.3M | 167.7M | 198.5M | |
Short Term Debt | 134.4T | 106.9T | 185.4T | 186.3M | 123.0T | 117.5T | |
Current Deferred Revenue | (148.2T) | (134.4T) | (106.9T) | (185.4T) | (213.2T) | (223.8T) | |
Net Tangible Assets | 248.0M | 225.4M | 244.6M | 138.7M | 124.8M | 118.6M | |
Long Term Investments | 364.8M | 295.6M | 420.8M | 4.3M | 266.9M | 355.7M | |
Long Term Debt Total | 62.3M | 148.2M | 134.4M | 186.3M | 167.7M | 146.5M | |
Capital Surpluse | 529.3M | 457.0M | 451.8M | 434.7M | 391.3M | 403.4M | |
Net Invested Capital | 382.4M | 332.3M | 430.0M | 325.0M | 274.3M | 303.7M | |
Capital Stock | 484.5K | 495.9K | 496.9K | 498.4K | 593.0K | 558.3K |
Pair Trading with Oxford Square
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 Oxford Square 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 Oxford Square will appreciate offsetting losses from the drop in the long position's value.Moving against Oxford Stock
0.72 | FDUS | Fidus Investment Corp | PairCorr |
0.5 | ECPG | Encore Capital Group | PairCorr |
0.5 | AGM | Federal Agricultural | PairCorr |
0.5 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
0.48 | ENVA | Enova International | PairCorr |
The ability to find closely correlated positions to Oxford Square could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oxford Square 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 Oxford Square - 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 Oxford Square Capital to buy it.
The correlation of Oxford Square 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 Oxford Square moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxford Square 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 Oxford Square 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 Oxford Stock Analysis
When running Oxford Square's price analysis, check to measure Oxford Square'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 Oxford Square is operating at the current time. Most of Oxford Square's value examination focuses on studying past and present price action to predict the probability of Oxford Square's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford Square's price. Additionally, you may evaluate how the addition of Oxford Square to your portfolios can decrease your overall portfolio volatility.