Omni Financial Net Income Over Time
| OFSI Stock | USD 0.0005 0.00 0.00% |
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 Omni Financial Performance and Omni Financial Correlation. Is Regional 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 Omni Financial. If investors know Omni 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 Omni Financial 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 (0.21) | Earnings Share 0.01 | Revenue Per Share | Quarterly Revenue Growth 0.358 | Return On Assets |
The market value of Omni Financial Services is measured differently than its book value, which is the value of Omni that is recorded on the company's balance sheet. Investors also form their own opinion of Omni Financial's value that differs from its market value or its book value, called intrinsic value, which is Omni Financial'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 Omni Financial's market value can be influenced by many factors that don't directly affect Omni Financial'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 Omni Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Omni Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Omni Financial'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 Net Income Analysis
Compare Omni Financial Services and related stocks such as Previsto International, Atlas Resources Inte, and Temecula Valley Bancorp Net Income Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HLOI | (20.9 K) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.3 M) | (1.2 M) | (1.1 M) |
| GLBB | (17.7 K) | (17.7 K) | (17.7 K) | (17.7 K) | (17.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (48.7 K) | (43.8 K) | (46 K) |
Omni Financial Services and related stocks such as Previsto International, Atlas Resources Inte, and Temecula Valley Bancorp Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in Omni Financial Services financial statement analysis. It represents the amount of money remaining after all of Omni Financial Services operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.My Equities
My Current Equities and Potential Positions
| Omni Financial Services | OFSI |
| Classification | Banks |
| Business Address | 12610 New Brittany |
| Exchange | OTCCE Exchange |
USD 5.0E-4
Check out Omni Financial Performance and Omni Financial Correlation. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Omni Financial 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.