Oxford Price To Sales Ratio vs Days Sales Outstanding Analysis
| OXLCN Stock | USD 24.02 0.07 0.29% |
Oxford Lane financial indicator trend analysis is much more than just breaking down Oxford Lane Capital prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Oxford Lane Capital is a good investment. Please check the relationship between Oxford Lane Price To Sales Ratio and its Days Sales Outstanding accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Oxford Lane 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 main economic indicators.
Price To Sales Ratio vs Days Sales Outstanding
Price To Sales Ratio vs Days Sales Outstanding Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Oxford Lane Capital Price To Sales Ratio account and Days Sales Outstanding. At this time, the significance of the direction appears to have no relationship.
The correlation between Oxford Lane's Price To Sales Ratio and Days Sales Outstanding is 0.06. Overlapping area represents the amount of variation of Price To Sales Ratio that can explain the historical movement of Days Sales Outstanding in the same time period over historical financial statements of Oxford Lane Capital, assuming nothing else is changed. The correlation between historical values of Oxford Lane's Price To Sales Ratio and Days Sales Outstanding is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Price To Sales Ratio of Oxford Lane Capital are associated (or correlated) with its Days Sales Outstanding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Days Sales Outstanding has no effect on the direction of Price To Sales Ratio i.e., Oxford Lane's Price To Sales Ratio and Days Sales Outstanding go up and down completely randomly.
Correlation Coefficient | 0.06 |
| Relationship Direction | Positive |
| Relationship Strength | Insignificant |
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Oxford Lane Capital stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Oxford Lane sales, a figure that is much harder to manipulate than other Oxford Lane Capital multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Days Sales Outstanding
Most indicators from Oxford Lane's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Oxford Lane 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 Lane 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 main economic indicators. As of the 23rd of December 2024, Enterprise Value is likely to grow to about 1.3 B, while Selling General Administrative is likely to drop about 2.9 M.
| 2021 | 2022 | 2023 | 2024 (projected) | Total Operating Expenses | 4.3M | 12.9M | 11.6M | 12.1M | Cost Of Revenue | 54.5M | 65.6M | 77.5M | 81.4M |
Oxford Lane fundamental ratios Correlations
Click cells to compare fundamentals
Oxford Lane Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Oxford Lane fundamental ratios Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Total Assets | 531.9M | 934.9M | 1.4B | 1.3B | 1.8B | 1.8B | |
| Other Current Liab | (13.6K) | 22.6M | 33.5M | 42.8M | (7.8M) | (7.4M) | |
| Total Current Liabilities | 624.8K | 13.6K | 300K | 32.6K | 69.9M | 73.4M | |
| Total Stockholder Equity | 268.8M | 596.3M | 947.2M | 793.2M | 1.2B | 1.2B | |
| Net Debt | 28.3M | 5.7M | 158.9M | 172.8M | (43.0M) | (40.8M) | |
| Retained Earnings | (454.7M) | (187.6M) | (111.0M) | (417.0M) | (368.0M) | (349.6M) | |
| Accounts Payable | 624.8K | 13.6K | 300K | 32.6K | 2.4M | 2.3M | |
| Cash | 11.7M | 90.9M | 34.7M | 21.7M | 43.0M | 32.5M | |
| Non Current Assets Total | 508.4M | 826.0M | 1.3B | 1.3B | 1.7B | 1.8B | |
| Non Currrent Assets Other | (508.4M) | (826.0M) | (1.3B) | (1.3B) | (1.7B) | (1.6B) | |
| Other Assets | 745.9K | 732.5K | 540.8K | 373.2K | 407.1K | 386.8K | |
| Cash And Short Term Investments | 11.7M | 90.9M | 34.7M | 21.7M | 43.0M | 32.5M | |
| Common Stock Shares Outstanding | 70.3M | 92.3M | 104.9M | 150.3M | 209.9M | 220.4M | |
| Liabilities And Stockholders Equity | 531.9M | 934.9M | 1.4B | 1.3B | 1.8B | 1.8B | |
| Total Liab | 263.2M | 338.6M | 461.0M | 542.9M | 579.9M | 608.8M | |
| Total Current Assets | 22.8M | 108.1M | 60.7M | 45.9M | 71.4M | 45.0M | |
| Short Long Term Debt Total | 40M | 96.6M | 193.6M | 194.6M | 195.6M | 120.1M | |
| Net Receivables | 11.1M | 17.3M | 26.0M | 24.2M | 28.5M | 14.6M | |
| Non Current Liabilities Total | 40M | 96.6M | 193.6M | 194.6M | 195.6M | 121.7M | |
| Common Stock | 723.5M | 1.0M | 1.4M | 1.7M | 2.4M | 2.3M | |
| Other Current Assets | (22.8M) | (108.1M) | (60.7M) | (45.9M) | (77.9M) | (74.0M) | |
| Current Deferred Revenue | (40.1M) | (22.6M) | (33.5M) | (46.8M) | (69.9M) | (73.4M) | |
| Short Term Debt | 40.1M | 22.9M | 33.5M | 46.8M | 72.3M | 39.1M | |
| Net Invested Capital | 308.8M | 692.8M | 1.1B | 987.7M | 1.4B | 897.1M | |
| Long Term Investments | 508.4M | 826.0M | 1.3B | 1.3B | 1.7B | 1.1B | |
| Capital Stock | 723.5M | 1.0M | 1.4M | 1.7M | 2.4M | 2.3M |
Pair Trading with Oxford Lane
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 Lane 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 Lane will appreciate offsetting losses from the drop in the long position's value.Moving against Oxford Stock
The ability to find closely correlated positions to Oxford Lane 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 Lane 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 Lane - 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 Lane Capital to buy it.
The correlation of Oxford Lane 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 Lane moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxford Lane 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 Lane 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.Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Oxford Lane 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 main economic indicators. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oxford Lane. If investors know Oxford will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oxford Lane listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.65) | Dividend Share 0.99 | Earnings Share 0.871 | Revenue Per Share 1.058 | Quarterly Revenue Growth 0.345 |
The market value of Oxford Lane Capital is measured differently than its book value, which is the value of Oxford that is recorded on the company's balance sheet. Investors also form their own opinion of Oxford Lane's value that differs from its market value or its book value, called intrinsic value, which is Oxford Lane's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Oxford Lane's market value can be influenced by many factors that don't directly affect Oxford Lane's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Oxford Lane's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oxford Lane is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oxford Lane's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.