Oxford Historical Income Statement
| OXSQ Stock | USD 2.66 0.01 0.38% |
Historical analysis of Oxford Square income statement accounts such as Gross Profit of 19.5 M can show how well Oxford Square Capital performed in making a profits. Evaluating Oxford Square income statement over time to spot trends is a great complementary tool to traditional technical analysis and can indicate the direction of Oxford Square's future profits or losses.
Financial Statement Analysis is much more than just reviewing and examining Oxford Square Capital latest accounting reports to predict its past. Macroaxis encourages investors to analyze financial statements over time for various trends across multiple indicators and accounts to determine whether Oxford Square Capital is a good buy for the upcoming year.
Oxford |
About Oxford Income Statement Analysis
Oxford Square Capital Income Statement consists of revenues and expenses along with the resulting net income or loss. It represents the profit for the accounting period attributable to Oxford Square shareholders. The income statement also shows Oxford investors and management if the firm made money during the period reported. The result of an income statement is the net income that is calculated after subtracting the expenses from revenue. It is essential to investors both as an absolute measure as well as earnings per share (i.e., EPS).
Oxford Square Income Statement Chart
Add Fundamental
Other Operating Expenses
Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Oxford Square Capital. It is also known as Oxford Square overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. Expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production.Cost Of Revenue
Cost of Revenue is found on Oxford Square Capital income statement and represents the costs associated with goods and services Oxford Square provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities.Most accounts from Oxford Square's income statement are interrelated and interconnected. However, analyzing income statement accounts 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 income statement accounts, 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. At this time, Oxford Square's Selling General Administrative is relatively stable compared to the past year. As of 12/11/2024, Net Income is likely to grow to about 18.1 M, while Gross Profit is likely to drop slightly above 19.5 M.
| 2023 | 2024 (projected) | Non Recurring | 295.5K | 177.9K | Interest Income | 33.1M | 27.9M |
Oxford Square income statement Correlations
Click cells to compare fundamentals
Oxford Square Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Oxford Square income statement Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Interest Expense | 9.9M | 7.9M | 10.5M | 12.4M | 10.8M | 9.2M | |
| Selling General Administrative | 3.0M | 2.9M | 3.3M | 3.0M | 2.1T | 2.2T | |
| Total Revenue | (28.7M) | 5.5M | 43.9M | (81.4M) | 34.8M | 20.0M | |
| Gross Profit | (28.7M) | 5.5M | 43.9M | (87.5M) | 26.2M | 19.5M | |
| Other Operating Expenses | 4.1M | 3.8M | 4.3M | 22.4M | 22.7M | 21.6M | |
| Operating Income | (32.8M) | 1.7M | 39.6M | 33.0M | 28.4M | 27.0M | |
| Ebit | (32.8M) | 1.7M | 39.6M | (40.2M) | 28.4M | 21.9M | |
| Ebitda | (32.8M) | 1.7M | 794.5B | 75.8M | 28.3M | 26.8M | |
| Total Operating Expenses | 4.1M | 3.8M | 4.3M | 4.2M | 22.7M | 12.1M | |
| Net Income | (32.8M) | 1.7M | 39.6M | (97.9M) | 17.2M | 18.1M | |
| Income Tax Expense | (22.8M) | 9.6M | 50.1M | 12.4M | 28.3M | 29.7M | |
| Cost Of Revenue | 28.7M | 4.7M | 6.5M | 6.1M | 8.6M | 8.1M | |
| Income Before Tax | (32.8M) | 1.7M | 39.6M | (85.6M) | 17.2M | 12.0M | |
| Net Income Applicable To Common Shares | (32.8M) | 1.7M | 39.6M | 20.3M | 18.3M | 18.4M | |
| Total Other Income Expense Net | (9.9M) | (7.9M) | (10.5M) | (118.6M) | (11.2M) | (11.8M) | |
| Net Income From Continuing Ops | (32.8M) | 1.7M | 39.6M | 20.3M | 1.8M | 1.7M | |
| Interest Income | 28.0M | 20.3M | 17.4M | 25.2M | 33.1M | 27.9M | |
| Net Interest Income | 18.1M | 12.4M | 6.9M | 12.9M | 21.3M | 16.0M |
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.