Siemens Energy Financials

SMNEY Stock  USD 54.08  2.77  5.40%   
Financial data analysis helps to confirm if markets are presently mispricing Siemens Energy. We were able to analyze and collect data for twenty-eight available drivers for Siemens Energy AG, which can be compared to its competition. The stock experiences a very speculative upward sentiment. The trend is possibly hyped up. Check odds of Siemens Energy to be traded at $67.6 in 90 days.
  
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.
Please note, the imprecision that can be found in Siemens Energy's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Siemens Energy AG. Check Siemens Energy's Beneish M Score to see the likelihood of Siemens Energy's management manipulating its earnings.

Siemens Energy Stock Summary

Siemens Energy competes with SPX Corp, Nuscale Power, Vestas Wind, Nordex SE, and Sandvik AB. 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.
InstrumentUSA Pink Sheet View All
ExchangePINK Exchange
Business AddressOtto-Hahn-Ring 6, Munich,
SectorIndustrials
IndustrySpecialty Industrial Machinery
BenchmarkDow Jones Industrial
Websitewww.siemens-energy.com
Phone49 89 636 00
CurrencyUSD - US Dollar

Siemens Energy Key Financial Ratios

Siemens Energy's financial ratios allow both analysts and investors to convert raw data from Siemens Energy's financial statements into concise, actionable information that can be used to evaluate the performance of Siemens Energy over time and compare it to other companies across industries.

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 also is rated below average in return on asset category among its peers . Comparative valuation analysis is a catch-all model that can be used if you cannot value Siemens Energy by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Siemens Energy's Pink Sheet. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued.

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.
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. 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 December 1, 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.

Additional 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.