Oxford Historical Cash Flow
| OXSQ Stock | USD 2.56 0.01 0.39% |
Analysis of Oxford Square cash flow over time is an excellent tool to project Oxford Square Capital future capital expenditures as well as to predict the amount of cash needed to cover cost of sales, R&D expenses or production expansions. Investors should almost always look for trends in cash flow indicators such as Begin Period Cash Flow of 6 T or Capital Expenditures of 0.0 as it is a great indicator of Oxford Square ability to facilitate future growth, repay debt on time or pay out dividends.
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.
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About Oxford Cash Flow Analysis
The Cash Flow Statement is a financial statement that shows how changes in Oxford balance sheet and income statement accounts affect cash and cash equivalents. It breaks the analysis down to operating, investing, and financing activities. One of the most critical aspects of the cash flow statement is liquidity, which is the degree to which Oxford's non-liquid assets can be easily converted into cash.
Oxford Square Cash Flow Chart
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Begin Period Cash Flow
The amount of cash a company has at the beginning of a financial reporting period. It serves as the starting point for calculating the period's cash flow from operations, investing, and financing activities.Dividends Paid
The total amount of dividends that a company has paid out to its shareholders over a specific period.Investments
Securities or assets acquired for generating income or appreciating in value, not used in daily operations.Most accounts from Oxford Square's cash flow statement are interrelated and interconnected. However, analyzing cash flow 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 cash flow 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 Other Non Cash Items is relatively stable compared to the past year. As of 03/29/2025, Sale Purchase Of Stock is likely to grow to about 113.9 T, while Total Cash From Operating Activities is likely to drop slightly above 16.2 M.
Oxford Square cash flow statement Correlations
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Oxford Square Account Relationship Matchups
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Oxford Square cash flow statement Accounts
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 (projected) | ||
| Change In Cash | 42.7M | (50.1M) | 3.5K | (3.3M) | 29.2T | 30.6T | |
| Free Cash Flow | 95.1M | (107.4M) | 20.4M | 65.7M | 25.7M | 16.2M | |
| Change In Working Capital | 435.0K | 535.0K | (1.1M) | (375.9K) | 1.1M | 1.2M | |
| Begin Period Cash Flow | 16.5M | 59.1M | 9.0M | 9.0M | 5.7T | 6.0T | |
| Other Cashflows From Financing Activities | (51.8K) | 77.7M | (69.6T) | (1.3M) | (485.0K) | (509.3K) | |
| Total Cash From Operating Activities | 95.1M | (107.4M) | 20.4M | 65.7M | 25.7M | 16.2M | |
| Net Income | 1.7M | 39.6M | (85.6M) | 17.2M | 5.9M | 8.8M | |
| Total Cash From Financing Activities | (52.4M) | 57.3M | (20.4M) | (69.0M) | 3.5M | 3.7M | |
| End Period Cash Flow | 59.1M | 9.0M | 9.0M | 5.7M | 34.9T | 36.7T | |
| Depreciation | 9.8T | 794.4B | 105.9T | (7.1T) | (8.2T) | (7.8T) | |
| Dividends Paid | 30.1M | 20.4M | 20.4M | 28.6M | 25.8M | 35.8M | |
| Other Non Cash Items | (9.8T) | (794.6B) | (105.9T) | 48.8M | 18.7M | 19.6M | |
| Change To Account Receivables | 1.2M | (765.2K) | (428.2K) | (483.7K) | 1.3M | 1.3M | |
| Net Borrowings | 85.7M | (12.8M) | (28.1M) | 80.5M | 92.6M | 97.2M | |
| Change To Operating Activities | 1.1M | (1.5M) | (745.8K) | 1.3M | 1.5M | 1.6M | |
| Change To Netincome | 80.2M | 92.3M | (148.3M) | (339.8K) | (305.8K) | (290.5K) | |
| Issuance Of Capital Stock | 5.9M | 0.0 | 17.2M | 21.6M | 29.7M | 31.2M |
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 together with Oxford Stock
Moving against Oxford Stock
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.