Autohellas Financials

AOHLF Stock  USD 13.63  0.00  0.00%   
You can use fundamental analysis to find out if Autohellas SA is mispriced or if you can make any profits on it by purchasing it and then waiting for the market to recognize its mistake and reprise the security. We were able to break down and interpolate twenty-eight available fundamental indicators for Autohellas SA, which can be compared to its peers. The stock experiences a normal downward fluctuation but is a risky buy. Check odds of Autohellas to be traded at $13.49 in 90 days.
  
Understanding current and past Autohellas Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Autohellas' financial statements are interrelated, with each one affecting the others. For example, an increase in Autohellas' assets may result in an increase in income on the income statement.

Autohellas Stock Summary

Autohellas competes with IPH, Schweiter Technologies, and Yuexiu Transport. Autohellas S.A. provides vehicle renting and leasing services under the Hertz brand. Autohellas S.A. was founded in 1962 and is based in Athens, Greece. Autohellas is traded on OTC Exchange in the United States.
InstrumentUSA Pink Sheet View All
ExchangePINK Exchange
Business Address31, Viltanioti Street,
SectorIndustrials
IndustryRental & Leasing Services
BenchmarkDow Jones Industrial
Websitewww.autohellas.gr
Phone30 210 62 64 000
CurrencyUSD - US Dollar

Autohellas Key Financial Ratios

There are many critical financial ratios that Autohellas' investors are exposed to on a daily basis, but they are usually grouped into few meaningful categories from each financial statement that Autohellas SA reports annually and quarterly.

Autohellas Financial Ratios Relationships

Comparative valuation techniques use various fundamental indicators to help in determining Autohellas's current stock value. Our valuation model uses many indicators to compare Autohellas value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Autohellas competition to find correlations between indicators driving Autohellas's intrinsic value. More Info.
Autohellas SA is number one stock in return on equity category among its peers. It also is number one stock in return on asset category among its peers reporting about  0.27  of Return On Asset per Return On Equity. The ratio of Return On Equity to Return On Asset for Autohellas SA is roughly  3.76 . 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 Autohellas' earnings, one of the primary drivers of an investment's value.

Complementary Tools for Autohellas Pink Sheet analysis

When running Autohellas' price analysis, check to measure Autohellas' 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 Autohellas is operating at the current time. Most of Autohellas' value examination focuses on studying past and present price action to predict the probability of Autohellas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Autohellas' price. Additionally, you may evaluate how the addition of Autohellas to your portfolios can decrease your overall portfolio volatility.
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk