Oxford Financial Statements From 2010 to 2024
| OXSQ Stock | USD 2.70 0.02 0.75% |
Gross Profit 43.1 M | Profit Margin (0.10) | Market Capitalization 182 M | Enterprise Value Revenue 37.1026 | Revenue 44.8 M |
Oxford Square Total Revenue |
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Check Oxford Square financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Oxford Square's main balance sheet or income statement drivers, such as Interest Expense of 9.2 M, Selling General Administrative of 2.2 T or Total Revenue of 20 M, as well as many indicators such as Price To Sales Ratio of 4.21, Dividend Yield of 0.1 or PTB Ratio of 0.7. Oxford financial statements analysis is a perfect complement when working with Oxford Square Valuation or Volatility modules.
Oxford | Select Account or Indicator |
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Oxford Fundamental Market Drivers
| Cash And Short Term Investments | 5.7 T |
Oxford Upcoming Events
| 19th of March 2024 Upcoming Quarterly Report | View | |
| 7th of May 2024 Next Financial Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View | |
| 19th of March 2024 Next Fiscal Year End | View | |
| 30th of September 2023 Last Quarter Report | View | |
| 31st of December 2022 Last Financial Announcement | View |
About Oxford Square Financial Statements
Oxford Square shareholders use historical fundamental indicators, such as revenue or net income, to determine how well the company is positioned to perform in the future. Although Oxford Square investors may analyze each financial statement separately, they are all interrelated. The changes in Oxford Square's assets and liabilities, for example, are also reflected in the revenues and expenses on on Oxford Square'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 | ||
| Current Deferred Revenue | -213.2 T | -223.8 T | |
| Total Revenue | 34.8 M | 20 M | |
| Cost Of Revenue | 8.6 M | 8.1 M | |
| Sales General And Administrative To Revenue | 59.4 K | 62.3 K | |
| Revenue Per Share | 0.64 | 0.89 | |
| Ebit Per Revenue | 0.82 | 0.78 |
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
| 0.45 | DIST | Distoken Acquisition | PairCorr |
| 0.37 | DMYY | dMY Squared Technology | PairCorr |
| 0.32 | V | Visa Class A | 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.