LAUR Laureate Education Inc

Marathon Asset Management Ltd reduced its stake in Laureate Education by 5.7% in Q3, selling over 93,000 shares to hold 1.5 million shares valued at $48.13 million. Despite missing EPS estimates, Laureate Education's revenue grew by 8.6%, and the company authorized a $150 million stock buyback program. The stock is trading near a 12-month high, with institutional ownership at 96.27% and a "Moderate Buy" consensus rating from analysts.

Laureate Education Inc. (LAUR) stock has hit an all-time high of $34.3 USD, reflecting strong investor confidence with an 88.3% increase in stock value over the past year. The company boasts a "GREAT" financial health score from InvestingPro and a market capitalization of

Laureate Education Inc. (LAUR) stock recently hit an all-time high of $34.30, reflecting an 88.3% increase over the past year and a 48.1% gain in the last six months. The company, with a market cap of approximately $5 billion, has robust financial health according to InvestingPro. JPMorgan recently initiated coverage with an Overweight rating, citing strong growth in Mexico and Peru.

Harbor Capital Advisors Inc. significantly reduced its stake in Laureate Education (NASDAQ:LAUR) by 72% in the third quarter, now holding 255,086 shares valued at $8.05 million. Despite this reduction, Laureate remains the fund's 20th largest position, accounting for 0.6% of its portfolio. Laureate Education's Q3 results showed earnings per share missing estimates, but revenue beat expectations and increased 8.6% year-over-year, alongside the authorization of a $150 million share repurchase program.

Investors in Laureate Education Inc (LAUR) now have access to new options contracts expiring in February 2026. A call contract at the $35.00 strike price offers a potential 5.57% return if exercised, or a 1.92% boost (11.91% annualized) if it expires worthless, based on current analysis and a trailing twelve-month volatility.

This article from Stock Traders Daily analyzes Laureate Education Inc. (NASDAQ: LAUR) using AI models to generate trading signals and strategies. It highlights strong sentiment across all time horizons supporting an overweight bias, despite elevated downside risk due to a lack of additional long-term support signals. Three distinct trading strategies—Position Trading, Momentum Breakout, and Risk Hedging—are provided, along with multi-timeframe signal analysis and support/resistance levels.