Public Storage Preferred Stock Analysis
| PSA-PQ Preferred Stock | USD 15.76 0.01 0.06% |
Public Storage is fairly valued with Real Value of 15.71 and Hype Value of 15.75. The main objective of Public Storage preferred stock analysis is to determine its intrinsic value, which is an estimate of what Public Storage is worth, separate from its market price. There are two main types of Public Storage's stock analysis: fundamental analysis and technical analysis.
The Public Storage preferred stock is traded in the USA on New York Stock Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA.
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Public Preferred Stock Analysis Notes
The company recorded earning per share (EPS) of 10.29. Public Storage last dividend was issued on the 14th of March 2023. To find out more about Public Storage contact Joseph Russell at 818-244-8080 or learn more at https://www.publicstorage.com.Public Profitablity
The company has Profit Margin (PM) of 0.97 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.52 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.52.Technical Drivers
As of the 21st of July, Public Storage holds the Coefficient Of Variation of 1497.11, semi deviation of 0.5225, and Risk Adjusted Performance of 0.0558. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Public Storage, as well as the relationship between them.Public Storage Price Movement Analysis
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Simple Moving Average indicator is calculated by adding the closing price of Public Storage for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Public Storage short-term fluctuations and highlight longer-term trends or cycles.
Public Storage Outstanding Bonds
Public Storage issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Public Storage uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Public bonds can be classified according to their maturity, which is the date when Public Storage has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
| Public Storage 3094 Corp BondUS74460DAC39 | View | |
| US74460DAD12 Corp BondUS74460DAD12 | View | |
| PSA 15 09 NOV 26 Corp BondUS74460DAG43 | View | |
| PSA 195 09 NOV 28 Corp BondUS74460DAH26 | View | |
| PSA 225 09 NOV 31 Corp BondUS74460DAJ81 | View | |
| MPLX LP 4125 Corp BondUS55336VAK61 | View | |
| MPLX LP 52 Corp BondUS55336VAL45 | View | |
| BNP Paribas FRN Corp BondUSF1R15XK367 | View |
Public Storage Predictive Daily Indicators
Public Storage intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Public Storage preferred stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
| Accumulation Distribution | 45.02 | |||
| Daily Balance Of Power | 0.0769 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.77 | |||
| Day Typical Price | 15.76 | |||
| Period Momentum Indicator | 0.01 |
Public Storage Forecast Models
Public Storage's time-series forecasting models are one of many Public Storage's preferred stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Public Storage's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our preferred stock analysis tools, you can find out how much better you can do when adding Public Storage to your portfolios without increasing risk or reducing expected return.Did you try this?
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Theme RatingsDetermine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |
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Additional Tools for Public Preferred Stock Analysis
When running Public Storage's price analysis, check to measure Public Storage'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 Public Storage is operating at the current time. Most of Public Storage's value examination focuses on studying past and present price action to predict the probability of Public Storage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Public Storage's price. Additionally, you may evaluate how the addition of Public Storage to your portfolios can decrease your overall portfolio volatility.