AG Mortgage Accumulated Other Comprehensive Income Over Time
| MITN Stock | 25.35 0.01 0.04% |
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 AG Mortgage Performance and AG Mortgage Correlation. MITN |
Is Trading 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 AG Mortgage. If investors know MITN 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 AG Mortgage listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of AG Mortgage Investment is measured differently than its book value, which is the value of MITN that is recorded on the company's balance sheet. Investors also form their own opinion of AG Mortgage's value that differs from its market value or its book value, called intrinsic value, which is AG Mortgage'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 AG Mortgage's market value can be influenced by many factors that don't directly affect AG Mortgage'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 AG Mortgage's value and its price as these two are different measures arrived at by different means. Investors typically determine if AG Mortgage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AG Mortgage'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 Accumulated Other Comprehensive Income Analysis
Compare AG Mortgage Investment and related stocks such as National Storage REIT, Infosys Ltd ADR, and Uber Technologies Accumulated Other Comprehensive Income Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| INFY | (30.8 M) | (712 M) | (775 M) | (922 M) | (1 B) | (1.1 B) | 6 M | 244 M | 387 M | 592 M | 910 M | 1.2 B | 1.4 B | 1.6 B | 1.9 B | 2 B |
| UBER | (3 M) | (3 M) | (3 M) | (3 M) | (3 M) | (3 M) | (3 M) | (3 M) | (188 M) | (187 M) | (535 M) | (524 M) | (443 M) | (421 M) | (378.9 M) | (397.8 M) |
| FDS | (12.9 M) | (22.7 M) | (31.2 M) | (17.9 M) | (44.1 M) | (68.6 M) | (34.7 M) | (51.4 M) | (74.5 M) | (39.3 M) | (39 M) | (108.4 M) | (87.1 M) | (79.6 M) | (71.7 M) | (68.1 M) |
| CCG | (172 K) | (387 K) | (58 K) | (71 K) | (2.6 M) | (7.8 M) | (7.8 M) | (7.8 M) | (7.8 M) | (7.8 M) | (7.8 M) | (7.8 M) | (66 K) | 1.1 M | 1 M | 1.1 M |
| WB | 1 M | 1 M | 1 M | 521 K | (2.9 M) | (10.6 M) | (27 M) | 9.5 M | (49.6 M) | (68.6 M) | 79.5 M | 156.9 M | (102.7 M) | (217.8 M) | (196 M) | (186.2 M) |
AG Mortgage Investment and related stocks such as National Storage REIT, Infosys Ltd ADR, and Uber Technologies Accumulated Other Comprehensive Income description
Gains and losses not included in net income that are recorded in shareholders' equity, reflecting changes in the value of assets or liabilities that are not realized.My Equities
My Current Equities and Potential Positions
Check out AG Mortgage Performance and AG Mortgage Correlation. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
AG Mortgage 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.