Oxford Lane Net Income From Continuing Ops Over Time
| OXLC Stock | USD 11.07 0.32 2.81% |
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 Lane Performance and Oxford Lane Correlation. Will Asset Management & Custody Banks sector continue expanding? Could Oxford diversify its offerings? Factors like these will boost the valuation of Oxford Lane. Anticipated expansion of Oxford directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Oxford Lane data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.78) | Dividend Share 5.4 | Earnings Share 0.44 | Revenue Per Share | Quarterly Revenue Growth 0.295 |
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. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. 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.
It's important to distinguish between Oxford Lane's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Oxford Lane should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Oxford Lane's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Cross Equities Net Income From Continuing Ops Analysis
Compare Oxford Lane Capital and related stocks such as Central Securities, General American Inv, and FS Credit Opportunities Net Income From Continuing Ops Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MSDL | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 18.3 M | 83.3 M | 48.5 M | 231 M | 215.6 M | 247.9 M | 131.3 M |
| MFIC | 71.9 M | 71.9 M | 71.9 M | 71.9 M | 71.9 M | 71.9 M | 71.9 M | 71.9 M | 71.9 M | (116.1 M) | 111.9 M | 82.4 M | 118.8 M | 118.8 M | 98.8 M | 113.6 M | 67.4 M |
| SRCE | 48.2 M | 48.2 M | 49.6 M | 112.9 M | 58.1 M | 57.5 M | 57.8 M | 68.1 M | 82.4 M | 92 M | 81.5 M | 118.6 M | 120.5 M | 124.9 M | 132.6 M | 152.5 M | 94.7 M |
| GSBD | 36.9 M | 36.9 M | 36.9 M | 36.9 M | 36.9 M | 46.6 M | 40.7 M | 49.5 M | 181.5 M | 36.1 M | 176.1 M | 192.4 M | 55.2 M | 149 M | 62.9 M | 72.3 M | 102.7 M |
| CSWC | 112 M | 112 M | 112 M | 112 M | 53.4 M | (5.4 M) | 23.5 M | 39.3 M | 33.1 M | (22.4 M) | 50.9 M | 42.8 M | 69 M | 83.4 M | 70.5 M | 81.1 M | 50.4 M |
Oxford Lane Capital and related stocks such as Central Securities, General American Inv, and FS Credit Opportunities Net Income From Continuing Ops description
My Equities
My Current Equities and Potential Positions
| Oxford Lane Capital | OXLC |
Specialization | Financial Services, Financial Services |
| Business Address | Eight Sound Shore |
| Exchange | NASDAQ Exchange |
USD 11.07
Check out Oxford Lane Performance and Oxford Lane Correlation. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Oxford Lane 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.