Bank Pan Indonesia Stock Annual Yield
PNBN Stock | IDR 1,120 60.00 5.66% |
Bank Pan Indonesia fundamentals help investors to digest information that contributes to Bank Pan's financial success or failures. It also enables traders to predict the movement of Bank Stock. The fundamental analysis module provides a way to measure Bank Pan's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Bank Pan stock.
Bank |
Bank Pan Indonesia Company Annual Yield Analysis
Bank Pan's Yield generally refers to the amount of cash that is paid back to the owner of a security over a specific time (usually one year). It is expressed as a percentage of current market price, and usually amounts to all the interests and/or dividends paid over a given period. A higher yield allows the shareholders to generate returns on their investments sooner. However, investors should also be aware that a high yield may be a result of market turmoil or increased price volatility.
Current Bank Pan Annual Yield | 0.01 % |
Most of Bank Pan's fundamental indicators, such as Annual Yield, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Bank Pan Indonesia is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Small firms, start-ups, or companies with high growth potential typically do not pay out dividends or distribute a lot of their profits. These companies will have small yield. Alternatively, more established companies, ETFs, and funds that invest in bonds will have higher yields.
Competition |
In accordance with the recently published financial statements, Bank Pan Indonesia has an Annual Yield of 0.0137%. This is much higher than that of the Banks sector and significantly higher than that of the Financials industry. The annual yield for all Indonesia stocks is notably lower than that of the firm.
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Bank Fundamentals
Return On Equity | 0.0417 | |||
Return On Asset | 0.0102 | |||
Profit Margin | 0.28 % | |||
Operating Margin | 0.35 % | |||
Current Valuation | 2.77 T | |||
Shares Outstanding | 24.08 B | |||
Shares Owned By Insiders | 85.75 % | |||
Shares Owned By Institutions | 1.01 % | |||
Price To Book | 0.90 X | |||
Price To Sales | 5.31 X | |||
Revenue | 11.95 T | |||
Gross Profit | 7.22 T | |||
Net Income | 2.06 T | |||
Total Debt | 9.07 T | |||
Book Value Per Share | 1,918 X | |||
Cash Flow From Operations | 11.6 T | |||
Earnings Per Share | 92.22 X | |||
Target Price | 1500.0 | |||
Number Of Employees | 10.77 K | |||
Beta | 0.42 | |||
Market Capitalization | 35.64 T | |||
Total Asset | 204.46 T | |||
Z Score | 1.8 | |||
Annual Yield | 0.01 % | |||
Net Asset | 204.46 T |
About Bank Pan Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank Pan Indonesia's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank Pan using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank Pan Indonesia based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank Pan in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank Pan's short interest history, or implied volatility extrapolated from Bank Pan options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Bank Pan Indonesia using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Bank Pan Indonesia. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Bank Stock analysis
When running Bank Pan's price analysis, check to measure Bank Pan's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank Pan is operating at the current time. Most of Bank Pan's value examination focuses on studying past and present price action to predict the probability of Bank Pan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank Pan's price. Additionally, you may evaluate how the addition of Bank Pan to your portfolios can decrease your overall portfolio volatility.
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