This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

LKQ Corp. Stock: Is it a Winner?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Historical holdings data showing quarterly positions, market values, shares held, and portfolio percentages for LKQ held by Vanguard Personalized Indexing Management LLC from Q2 2021 to Q2 2025

Historical ownership data of LKQ by Vanguard Personalized Indexing Management LLC

Heavy duty truck parts dealers sell products to a wide range of manufacturers and aftermarket buyers, representing a key component of local and long-distance freight trucking and helping maintain healthy global supply chains. As a result, companies receive relatively stable demand from a wide range of commercial markets, limiting uncertainty. Even so, dealers have faced severe economic uncertainty following the pandemic, contributing to tepid revenue growth. Conversely, soaring e-commerce growth and the post-pandemic economic recovery have enabled a steady rebound, highlighted by freight transportation services index growth. Dealers have taken advantage of increased trucking activity and robust demand for truck repair to expand positions in key aftermarkets. Overall, revenue for truck parts dealers has expanded at an expected CAGR of 0.9% to $26.7 billion through the current period, including a 1.0% gain in 2024, where profit settled at 3.9%. Truck parts dealers have also navigated major supply chain disruptions and shifting regulatory environments. Manufacturers largely passed soaring metal and electronic component prices onto dealers, leading to elevated inventory costs and weak profit. Given the industry's high fragmentation, smaller dealers were unable to significantly raise prices to compensate for additional costs. Larger companies were able to leverage connections with truck manufacturers and major repair chains to maximize returns and gain a competitive edge. Similarly, the introduction of stricter fuel-emission regulations has forced the trucking industry to integrate lower and zero-emission alternatives; parts dealers have needed to broaden inventories to include parts compatible with electric truck drivetrains and new designs. Truck parts dealers will benefit from stable growth through the outlook period; strong economic conditions will support elevated trucking activity. In particular, normalizing interest rates and reduced inflation will spur consumer, trade and construction activity, boosting demand for key trucking markets. This trend will increase vehicle wear and tear, bolstering demand from repair shops and other key aftermarkets. Similarly, dealers will heavily benefit from the rising vehicle fleet age. Overall, revenue will climb at an expected CAGR of 2.2% to $29.8 billion, where profit will reach 4.1%.