Singapore Technologies Engineering Stock Analysis
SGGKF Stock | USD 6.51 0.48 6.87% |
Singapore Technologies Engineering is overvalued with Real Value of 6.18 and Hype Value of 6.51. The main objective of Singapore Technologies pink sheet analysis is to determine its intrinsic value, which is an estimate of what Singapore Technologies Engineering is worth, separate from its market price. There are two main types of Singapore Technologies' stock analysis: fundamental analysis and technical analysis.
The Singapore Technologies pink sheet is traded in the USA on PINK 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. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Singapore Technologies' ongoing operational relationships across important fundamental and technical indicators.
Singapore |
Singapore Pink Sheet Analysis Notes
About 64.0% of the company shares are owned by institutional investors. The book value of Singapore Technologies was at this time reported as 0.75. The company has Price/Earnings To Growth (PEG) ratio of 1.29. Singapore Technologies last dividend was issued on the 6th of December 2022. Singapore Technologies Engineering Ltd operates as a technology and engineering company in Asia, Europe, the Middle East, and the United States. Singapore Technologies Engineering Ltd was incorporated in 1997 and is headquartered in Singapore. Singapore Tech operates under Aerospace Defense classification in the United States and is traded on OTC Exchange. It employs 22405 people.The quote for Singapore Technologies Engineering is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To find out more about Singapore Technologies Engineering contact Sy Chong at 65 6722 1818 or learn more at https://www.stengg.com.Singapore Technologies Investment Alerts
Singapore Technologies appears to be risky and price may revert if volatility continues | |
Singapore Technologies Engineering has accumulated 1.07 B in total debt with debt to equity ratio (D/E) of 2.4, implying the company greatly relies on financing operations through barrowing. Singapore Technologies has a current ratio of 0.74, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Singapore Technologies until it has trouble settling it off, either with new capital or with free cash flow. So, Singapore Technologies' shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Singapore Technologies sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Singapore to invest in growth at high rates of return. When we think about Singapore Technologies' use of debt, we should always consider it together with cash and equity. | |
About 64.0% of Singapore Technologies shares are owned by institutional investors |
Singapore Market Capitalization
The company currently falls under 'Mid-Cap' category with a current market capitalization of 8.79 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Singapore Technologies's market, we take the total number of its shares issued and multiply it by Singapore Technologies's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Singapore Profitablity
The company has Profit Margin (PM) of 0.07 %, 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 0.08 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.08.Technical Drivers
As of the 22nd of July, Singapore Technologies has the Risk Adjusted Performance of 0.1315, coefficient of variation of 753.78, and Semi Deviation of 2.06. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Singapore Technologies, as well as the relationship between them. Please validate Singapore Technologies variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if Singapore Technologies is priced more or less accurately, providing market reflects its prevalent price of 6.51 per share. Given that Singapore Technologies has jensen alpha of 0.5194, we advise you to double-check Singapore Technologies Engineering's current market performance to make sure the company can sustain itself at a future point.Singapore Technologies Price Movement Analysis
The output start index for this execution was eight with a total number of output elements of fifty-three. The Simple Moving Average indicator is calculated by adding the closing price of Singapore Technologies for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Singapore Technologies short-term fluctuations and highlight longer-term trends or cycles.
Singapore Technologies Predictive Daily Indicators
Singapore Technologies 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 Singapore Technologies pink sheet 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.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.93 | |||
Day Median Price | 6.51 | |||
Day Typical Price | 6.51 | |||
Price Action Indicator | (0.24) | |||
Period Momentum Indicator | (0.48) | |||
Relative Strength Index | 66.64 |
Singapore Technologies Forecast Models
Singapore Technologies' time-series forecasting models are one of many Singapore Technologies' pink sheet 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 Singapore Technologies' 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.About Singapore Pink Sheet Analysis
Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how Singapore Technologies prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Singapore shares will generate the highest return on investment. We also built our pink sheet analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Pink Sheet such as Singapore Technologies. By using and applying Singapore Pink Sheet analysis, traders can create a robust methodology for identifying Singapore entry and exit points for their positions.
Singapore Technologies Engineering Ltd operates as a technology and engineering company in Asia, Europe, the Middle East, and the United States. Singapore Technologies Engineering Ltd was incorporated in 1997 and is headquartered in Singapore. Singapore Tech operates under Aerospace Defense classification in the United States and is traded on OTC Exchange. It employs 22405 people.
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 pink sheet analysis tools, you can find out how much better you can do when adding Singapore Technologies to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Balance Of Power Now
Balance Of PowerCheck stock momentum by analyzing Balance Of Power indicator and other technical ratios |
All Next | Launch Module |
Complementary Tools for Singapore Pink Sheet analysis
When running Singapore Technologies' price analysis, check to measure Singapore Technologies' 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 Singapore Technologies is operating at the current time. Most of Singapore Technologies' value examination focuses on studying past and present price action to predict the probability of Singapore Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Singapore Technologies' price. Additionally, you may evaluate how the addition of Singapore Technologies to your portfolios can decrease your overall portfolio volatility.
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |