Disposition of 800460 shares by Sean Reilly of Lamar Advertising subject to Rule 16b-3

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Published over six months ago View all stories for Lamar Advertising | Lamar Advertising Hype Analysis

Lamar insider trading alert for disposition of class b common stock by Sean Reilly, Officer: Chief Executive Officer, on 21st of April 2024. This event was filed by Lamar Advertising with SEC on 2020-12-22. Statement of changes in beneficial ownership - SEC Form 4

Cash Flow Correlation

Lamar Advertising's cash-flow correlation analysis can be used to evaluate the unsystematic risk during the given period. It also helps investors identify the Lamar Advertising's relationships between the major components of the statement of changes in financial position and other commonly used cash-related accounts. When such correlations are discovered, they may help managers and analysts to enhance performance or determine appealing investment opportunities.

Investor sentiment, mood or attitude towards Lamar Advertising can have a significant impact on its stock price or the market as a whole. This sentiment can be positive or negative, and various factors, such as economic indicators, news events, or market trends, can influence it. When investor sentiment is positive, investors are more likely to buy stocks, increasing demand and increasing the stock price. Positive investor sentiment can be driven by good news about the company or the broader market, such as solid earnings reports or positive economic data.

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We analyze Lamar Advertising's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Lamar Advertising using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Lamar Advertising based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

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