Meta Financial Change To Inventory Over Time
| CASH Stock | USD 88.37 2.66 3.10% |
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 Meta Financial Performance and Meta Financial Correlation. Is there potential for Regional Banks market expansion? Will Meta introduce new products? Factors like these will boost the valuation of Meta Financial. Projected growth potential of Meta fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about Meta 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 0.279 | Dividend Share 0.2 | Earnings Share 8.21 | Revenue Per Share | Quarterly Revenue Growth 0.036 |
Investors evaluate Meta Financial Group using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Meta Financial's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Meta Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Meta Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Meta Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Meta Financial's market price signifies the transaction level at which participants voluntarily complete trades.
Cross Equities Change To Inventory Analysis
Compare Meta Financial Group and related stocks such as AmeriServ Financial, Broadway Financial, and Home Federal Bancorp Change To Inventory Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ASRV | 491 K | 4.3 M | 0.0 | 8.3 M | 0.0 | 2.8 M | 793 K | 648 K | 648 K | 648 K | 648 K | 648 K | 648 K | 648 K | 648 K | 583.2 K | 554 K |
| BYFC | 795 K | 0.0 | 7.8 M | 0.0 | 0.0 | 10.9 M | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| HFBL | 8.5 M | 10.4 M | 10.4 M | 4.8 M | 4.8 M | 4.8 M | 1.1 M | 8.8 M | 8.8 M | 8.8 M | 8.8 M | 8.8 M | 8.8 M | 8.8 M | 8.8 M | 7.9 M | 5.4 M |
| FSEA | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| OPHC | 897 K | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| BOTJ | 0.0 | 0.0 | (250 K) | (212 K) | 685 K | (374 K) | 13 K | 343 K | 518 K | 707 K | 92 K | 519 K | 519 K | 519 K | 519 K | 596.9 K | 626.7 K |
Meta Financial Group and related stocks such as AmeriServ Financial, Broadway Financial, and Home Federal Bancorp Change To Inventory description
The increase or decrease in the amount of inventory a company has over a certain period.My Equities
My Current Equities and Potential Positions
| Meta Financial Group | CASH |
Specialization | Financial Services, Banks - Regional |
| Business Address | 5501 South Broadband |
| Exchange | NASDAQ Exchange |
USD 88.37
Check out Meta Financial Performance and Meta Financial Correlation. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Meta 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.