Robert David Schilling Net Worth
Track Major Insider Updates On X/TwitterLast Updated: 2 days, 6 hours ago
Robert David Schilling has an estimated net worth of at least $17.0 million*, as of July 8, 2026. They own 1.0 million shares of AI stock. They have sold 470,420 shares of AI stock since 2021, for an estimated $8.1 million.
Robert David Schilling $AI SEC Form 4 Insider Trading
Robert David Schilling has filed a total of 2 insider trades in $AI since 2021. Their most recent trade was a sale of 240,121 shares, made on Oct 01, 2025. Their largest trade was a sale of 240,121 shares, made on Oct 01, 2025. We estimate that they now own 1.0 million shares of $AI, worth an estimated $8.9 million.
Insider Trading at $AI
There have been a total of 296 insider trades reported at $AI since 2021, with 45,000 shares purchased and 25.4 million shares sold. The most active insider traders in $AI stock have been Juho Parkkinen, Thomas M Siebel, and Thomas M Siebel. The most recent trade was a sale of 50,542 shares reported by Stephen Bradley Ehikian (Chief Executive Officer), made on Jul 01, 2026.
History of Insider Stock Trades by Robert David Schilling
$AI Executives and Stock Owners with Insider Trades
-
Juho Parkkinen, SVP & Chief Financial Officer
-
Thomas M Siebel, Chief Executive Officer
-
Thomas M Siebel, CHIEF EXECUTIVE OFFICER
-
Houman Behzadi, Chief Product Officer
-
Thomas M Siebel, Executive Chairman
-
Edward Y Abbo, Chief Technology Officer
-
Living Trust U/A/D 7/27/93, As Amended Siebel, Chief Executive Officer
-
Hitesh Lath, CHIEF FINANCIAL OFFICER
-
Merel Witteveen, Senior VP, Operations
-
Bruce A Cleveland, Senior VP and CMO
-
Thomas M Siebel, CEO and Chairman of the Board
-
David Barter, Senior VP and CFO
-
Stephen Bradley Ehikian, Chief Executive Officer
-
Robert David Schilling, EVP & Chief Commercial Officer
-
Guy Wanger, SVP & Chief Admin Officer
*This is only based off of information found in SEC filings, and may not reflect actual net worth. There may also be inaccuracies due to privately holdings filing errors, parsing errors, accidental double-counting of shares, incorrect classification of indirectly owned shares, sales prior to dataset start date, or any other number of issues.