Lear Corporation Stock Market Value
| LEA Stock | USD 136.73 2.15 1.55% |
| Symbol | Lear |
Is Automotive Parts & Equipment 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 Lear. Expected growth trajectory for Lear significantly influences the price investors are willing to assign. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Lear assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth (0.02) | Dividend Share 3.08 | Earnings Share 8.03 | Revenue Per Share | Quarterly Revenue Growth 0.048 |
Investors evaluate Lear using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Lear's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Lear's market price to deviate significantly from intrinsic value.
Understanding that Lear's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Lear represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Lear's market price signifies the transaction level at which participants voluntarily complete trades.
Lear 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Lear's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Lear.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Lear on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Lear Corporation or generate 0.0% return on investment in Lear over 90 days. Lear is related to or competes with American Axle, SES AI, Douglas Dynamics, Aeva Technologies, Camping World, and LuxExperience. Lear Corporation designs, develops, engineers, manufactures, assembles, and supplies automotive seating, and electrical ... More
Lear Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Lear's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Lear Corporation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.66 | |||
| Information Ratio | 0.1245 | |||
| Maximum Drawdown | 11.95 | |||
| Value At Risk | (2.89) | |||
| Potential Upside | 3.79 |
Lear Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lear's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lear's standard deviation. In reality, there are many statistical measures that can use Lear historical prices to predict the future Lear's volatility.| Risk Adjusted Performance | 0.1363 | |||
| Jensen Alpha | 0.256 | |||
| Total Risk Alpha | 0.1559 | |||
| Sortino Ratio | 0.1708 | |||
| Treynor Ratio | 0.2549 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lear's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Lear February 12, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1363 | |||
| Market Risk Adjusted Performance | 0.2649 | |||
| Mean Deviation | 1.57 | |||
| Semi Deviation | 1.3 | |||
| Downside Deviation | 1.66 | |||
| Coefficient Of Variation | 625.15 | |||
| Standard Deviation | 2.28 | |||
| Variance | 5.19 | |||
| Information Ratio | 0.1245 | |||
| Jensen Alpha | 0.256 | |||
| Total Risk Alpha | 0.1559 | |||
| Sortino Ratio | 0.1708 | |||
| Treynor Ratio | 0.2549 | |||
| Maximum Drawdown | 11.95 | |||
| Value At Risk | (2.89) | |||
| Potential Upside | 3.79 | |||
| Downside Variance | 2.76 | |||
| Semi Variance | 1.69 | |||
| Expected Short fall | (1.80) | |||
| Skewness | 1.63 | |||
| Kurtosis | 5.79 |
Lear Backtested Returns
Lear appears to be very steady, given 3 months investment horizon. Lear has Sharpe Ratio of 0.2, which conveys that the firm had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Lear, which you can use to evaluate the volatility of the firm. Please exercise Lear's Risk Adjusted Performance of 0.1363, downside deviation of 1.66, and Mean Deviation of 1.57 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Lear holds a performance score of 15. The company secures a Beta (Market Risk) of 1.39, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Lear will likely underperform. Please check Lear's jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to make a quick decision on whether Lear's current price movements will revert.
Auto-correlation | 0.45 |
Average predictability
Lear Corporation has average predictability. Overlapping area represents the amount of predictability between Lear time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Lear price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Lear price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 47.38 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Lear offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Lear's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Lear Corporation Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Lear Corporation Stock:Check out Lear Correlation, Lear Volatility and Lear Performance module to complement your research on Lear. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Lear 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.