Group 1 Net Debt Over Time
GPI Stock | USD 418.28 9.62 2.35% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out Group 1 Performance and Group 1 Correlation. Group |
Is Automotive Retail space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Group 1. If investors know Group will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Group 1 listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.25) | Dividend Share 0.47 | Earnings Share 37.56 | Revenue Per Share 1.4 K | Quarterly Revenue Growth 0.11 |
The market value of Group 1 Automotive is measured differently than its book value, which is the value of Group that is recorded on the company's balance sheet. Investors also form their own opinion of Group 1's value that differs from its market value or its book value, called intrinsic value, which is Group 1's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Group 1's market value can be influenced by many factors that don't directly affect Group 1's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Group 1's value and its price as these two are different measures arrived at by different means. Investors typically determine if Group 1 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Group 1's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Cross Equities Net Debt Analysis
Compare Group 1 Automotive and related stocks such as Penske Automotive, Lithia Motors, and AutoNation Net Debt Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PAG | 132.9 M | 2.5 B | 3 B | 3.6 B | 4 B | 4.6 B | 5.2 B | 5.9 B | 6 B | 8.6 B | 7.1 B | 6.3 B | 6.8 B | 7.6 B | 8 B |
LAD | 23.6 M | 610 M | 833.8 M | 942.7 M | 1.8 B | 1.9 B | 2.3 B | 2.9 B | 3.4 B | 3.4 B | 3.7 B | 4.2 B | 7.4 B | 10.4 B | 10.9 B |
AN | (200 K) | 1.6 B | 4.6 B | 4.8 B | 5.2 B | 6 B | 6.5 B | 6.4 B | 6.5 B | 6 B | 4.6 B | 4.9 B | 6.3 B | 8 B | 8.4 B |
ABG | 929.2 M | 920.8 M | 1 B | 1.2 B | 1.5 B | 1.7 B | 1.8 B | 1.7 B | 2 B | 1.9 B | 2.4 B | 4.4 B | 3.5 B | 5.4 B | 5.7 B |
SAH | 63 M | 1.4 B | 1.8 B | 2 B | 2 B | 2.3 B | 2.4 B | 2.5 B | 2.5 B | 2.6 B | 2.3 B | 3 B | 3.3 B | 3.8 B | 2 B |
Group 1 Automotive and related stocks such as Penske Automotive, Lithia Motors, and AutoNation Net Debt description
The total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds.My Equities
My Current Equities and Potential Positions
Group 1 Automotive | GPI |
Specialization | Consumer Discretionary, Consumer Discretionary Distribution & Retail |
Location | Texas; U.S.A |
Exchange | New York Stock Exchange |
USD 418.28
Check out Group 1 Performance and Group 1 Correlation. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Group 1 technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.