Old Dominion Pb Ratio Over Time
| ODFL Stock | USD 181.37 6.37 3.39% |
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 Old Dominion Performance and Old Dominion Correlation. Old |
Is Cargo Ground Transportation 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 Old Dominion. If investors know Old 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 Old Dominion 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 (0.07) | Dividend Share 0.98 | Earnings Share 5.71 | Revenue Per Share 27.363 | Quarterly Revenue Growth (0.03) |
The market value of Old Dominion Freight is measured differently than its book value, which is the value of Old that is recorded on the company's balance sheet. Investors also form their own opinion of Old Dominion's value that differs from its market value or its book value, called intrinsic value, which is Old Dominion'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 Old Dominion's market value can be influenced by many factors that don't directly affect Old Dominion'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 Old Dominion's value and its price as these two are different measures arrived at by different means. Investors typically determine if Old Dominion is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Old Dominion'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 Pb Ratio Analysis
Compare Old Dominion Freight and related stocks such as Marten Transport, Werner Enterprises, and Universal Logistics Pb Ratio Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MRTN | 3.2422 | 1.2434 | 1.231 | 1.8685 | 1.8802 | 1.4473 | 1.7318 | 2.1045 | 1.534 | 1.965 | 2.2922 | 2.1822 | 2.2955 | 2.2513 | 1.35 |
| WERN | 10.3685 | 2.419 | 2.2203 | 2.3277 | 2.6911 | 1.7999 | 1.9551 | 2.3621 | 1.6453 | 2.2786 | 2.2651 | 2.4209 | 1.7883 | 1.7569 | 2.59 |
| ULH | 10.2202 | 1.7456 | 9.5532 | 8.689 | 6.2384 | 3.1311 | 3.1443 | 4.0002 | 2.4533 | 2.5933 | 2.3202 | 1.6799 | 1.9805 | 1.3838 | 1.31 |
| SNDR | 3.5277 | 3.5277 | 3.5277 | 3.5277 | 3.5277 | 3.1238 | 2.7791 | 2.5852 | 1.5498 | 1.7279 | 1.7855 | 1.9718 | 1.4672 | 1.5261 | 2.42 |
| HTLD | 3.5841 | 3.7597 | 3.8662 | 4.2042 | 4.973 | 3.1501 | 3.3528 | 3.3833 | 2.4474 | 2.5205 | 2.0338 | 1.8408 | 1.4155 | 1.3021 | 1.24 |
Old Dominion Freight and related stocks such as Marten Transport, Werner Enterprises, and Universal Logistics Pb Ratio description
My Equities
My Current Equities and Potential Positions
| Old Dominion Freight | ODFL |
| Classification | Sport Products |
| Location | North Carolina; U.S.A |
| Exchange | NASDAQ Exchange |
USD 181.37
Check out Old Dominion Performance and Old Dominion Correlation. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Old Dominion 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.