Oxford Lane Capital Stock Z Score
OXLCL Stock | USD 23.96 0.08 0.34% |
Oxford | Z Score |
Oxford Lane Capital Company Z Score Analysis
Oxford Lane's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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Oxford Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Oxford Lane is extremely important. It helps to project a fair market value of Oxford Stock properly, considering its historical fundamentals such as Z Score. Since Oxford Lane's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Oxford Lane's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Oxford Lane's interrelated accounts and indicators.
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
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Based on the company's disclosures, Oxford Lane Capital has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Z Score (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Oxford Lane Current Valuation Drivers
We derive many important indicators used in calculating different scores of Oxford Lane from analyzing Oxford Lane's financial statements. These drivers represent accounts that assess Oxford Lane's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Oxford Lane's important valuation drivers and their relationship over time.
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Market Cap | 405.7M | 293.2M | 581.7M | 785.8M | 1.1B | 1.1B | |
Enterprise Value | 426.7M | 321.6M | 587.4M | 958.6M | 1.2B | 1.3B |
Oxford Fundamentals
Return On Equity | 0.67 | |||
Number Of Shares Shorted | 4.13 K | |||
Revenue | 290.64 M | |||
EBITDA | 267.96 M | |||
Net Income | 235.11 M | |||
Total Debt | 195.6 M | |||
Cash Flow From Operations | (123.79 M) | |||
Market Capitalization | 758.22 M | |||
Total Asset | 1.75 B | |||
Retained Earnings | (367.99 M) | |||
Net Asset | 1.75 B |
About Oxford Lane Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Oxford Lane Capital's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Oxford Lane using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Oxford Lane Capital based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Is Stock 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.
Return On Equity 0.6703 |
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.