Oxford Square Payout Ratio Over Time
| OXSQG Stock | USD 23.17 0.10 0.43% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out Oxford Square Performance and Oxford Square Correlation. Oxford |
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 Square. 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 Square 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 0.5057 |
The market value of Oxford Square 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 Square's value that differs from its market value or its book value, called intrinsic value, which is Oxford Square'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 Square's market value can be influenced by many factors that don't directly affect Oxford Square'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 Square's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oxford Square is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oxford Square'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.
Cross Equities Payout Ratio Analysis
Compare Oxford Square Capital and related stocks such as Atlanticus Holdings, Great Elm Capital, and Aquagold International Payout Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ATLCL | 0.0101 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1441 | 0.1226 | 0.1828 | 0.2422 | 0.25 |
| GECCO | 2.4755 | 2.4755 | 1.7033 | (0.9677) | (1.8456) | (0.4475) | (0.4475) | (4.8631) | (1.4436) | (1.6938) | (0.1562) | (0.9668) | (0.8357) | 0.4201 | 0.44 |
Oxford Square Capital and related stocks such as Atlanticus Holdings, Great Elm Capital, and Aquagold International Payout Ratio description
Payout Ratio is the proportion of Oxford Square Capital earnings paid out as dividends to shareholders. Payout Ratio is typically expressed as a percentage but can be shown as dividends paid out as a proportion of cash flow. The payout ratio is used to determine the sustainability of Oxford Square Capital dividend payments. A lower payout ratio is generally preferable to a higher payout ratio, with a ratio greater than 100% indicating Oxford Square Capital is paying out more in dividends than it makes in net income.My Equities
My Current Equities and Potential Positions
| Oxford Square Capital | OXSQG |
Specialization | Financials, Financial Services |
| Exchange | NASDAQ Exchange |
USD 23.17
Check out Oxford Square Performance and Oxford Square Correlation. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Oxford Square technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.