Clegg Nicholas

Meta President Nicholas Clegg sells 8,427 shares for $4,690,970.34; derivative conversion flagged.

Clegg executed 5 separate sales totaling 8,427 shares for $4,690,970.34 at a blended average price of $556.66 between 2024-11-15 and 2024-11-18. The Form 4 filing contains a derivative conversion transaction (Table II), meaning the 0 shares shown in Table I post-transaction does not represent his total position—his true holdings remain unclear until derivative data is populated. Without full position visibility, the significance of this batch of sales cannot be reliably assessed. At the same-ticker level, Clegg's prior 5 sells at META (all 2024-08-16) posted mixed 30-day performance and a consistent upward drift at 90 days (8.2%–9.1%), indicating none were well-timed; the current sale's strategic intent is not established by historical pattern. META's P/E of 36.94 and +15.7% revenue growth provide valuation context, but timing relative to company prospects is not indicated by the filing structure alone.

Meta President Clegg Nicholas sold 15,955 shares across 7 transactions Aug 15-16 for $8.5M; conversion of derivative securities, not full exit.

Clegg Nicholas, Meta's President of Global Affairs, sold 15,955 shares in 7 separate transactions on August 15-16, 2024, at prices ranging from $526.76 to $533.50, generating $8,468,947.59. This represents a conversion of derivative securities into open-market sales, with the insider retaining derivative holdings not yet detailed in the database. At his same-ticker history, his 5 prior sells at Meta showed 30-day returns averaging around +6% and 90-day returns averaging around +10.8%, with 0 of 5 being well-timed (stock rose after, not fell). The current stock price of $529.28 is 2.0% below the 52-week high of $539.91 and has gained 11.0% over 30 days and 13.9% over 90 days, suggesting strength post-transaction. Meta's fundamentals show annual revenue growth of +15.7% and a P/E of 34.84. The filing does not indicate a position exit but a structured conversion event; timing signals and prior pattern history should be monitored against near-term price action.