Siemens Energy Financials
SMEGF Stock | USD 51.58 1.08 2.05% |
Siemens |
Understanding current and past Siemens Energy Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Siemens Energy's financial statements are interrelated, with each one affecting the others. For example, an increase in Siemens Energy's assets may result in an increase in income on the income statement.
Siemens Energy Stock Summary
Siemens Energy competes with Schneider Electric, Vestas Wind, Hillenbrand, Generac Holdings, and Amaero International. Siemens Energy AG operates as an energy technology company worldwide. Siemens Energy AG was founded in 1866 and is based in Munich, Germany. SIEMENS ENERGY is traded on OTC Exchange in the United States.Instrument | USA Pink Sheet View All |
Exchange | PINK Exchange |
Business Address | Otto-Hahn-Ring 6, Munich, |
Sector | Industrials |
Industry | Specialty Industrial Machinery |
Benchmark | Dow Jones Industrial |
Website | www.siemens-energy.com |
Phone | 49 89 636 00 |
Currency | USD - US Dollar |
Siemens Energy Key Financial Ratios
There are many critical financial ratios that Siemens Energy's investors are exposed to on a daily basis, but they are usually grouped into few meaningful categories from each financial statement that Siemens Energy AG reports annually and quarterly.Return On Equity | -0.0727 | |||
Return On Asset | -0.0099 | |||
Beta | 2.04 | |||
Z Score | 1.8 |
Siemens Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Siemens Energy's current stock value. Our valuation model uses many indicators to compare Siemens Energy value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Siemens Energy competition to find correlations between indicators driving Siemens Energy's intrinsic value. More Info.Siemens Energy AG is rated below average in return on equity category among its peers. It is rated below average in return on asset category among its peers . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Siemens Energy's earnings, one of the primary drivers of an investment's value.Siemens Energy AG Systematic Risk
Siemens Energy's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Siemens Energy volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on Siemens Energy AG correlated with the market. If Beta is less than 0 Siemens Energy generally moves in the opposite direction as compared to the market. If Siemens Energy Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Siemens Energy AG is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Siemens Energy is generally in the same direction as the market. If Beta > 1 Siemens Energy moves generally in the same direction as, but more than the movement of the benchmark.
Siemens Energy November 29, 2024 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Siemens Energy help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Siemens Energy AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of Siemens Energy AG based on widely used predictive technical indicators. In general, we focus on analyzing Siemens Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Siemens Energy's daily price indicators and compare them against related drivers.
Downside Deviation | 1.67 | |||
Information Ratio | 0.2791 | |||
Maximum Drawdown | 14.2 | |||
Value At Risk | (2.33) | |||
Potential Upside | 4.6 |
Complementary Tools for Siemens Pink Sheet analysis
When running Siemens Energy's price analysis, check to measure Siemens Energy'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 Siemens Energy is operating at the current time. Most of Siemens Energy's value examination focuses on studying past and present price action to predict the probability of Siemens Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siemens Energy's price. Additionally, you may evaluate how the addition of Siemens Energy to your portfolios can decrease your overall portfolio volatility.
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |