Surendralal Lanca Karsanbhai Net Worth

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Last Updated: 19 hours ago

Surendralal Lanca Karsanbhai has an estimated net worth of at least $29.9 million*, as of yesterday. They own 210,863 shares of EMR stock. They have sold 59,356 shares of EMR stock since 2021, for an estimated $6.6 million.

Surendralal Lanca Karsanbhai $EMR SEC Form 4 Insider Trading

Surendralal Lanca Karsanbhai has filed a total of 4 insider trades in $EMR since 2021. Their most recent trade was a sale of 52,409 shares, made on Nov 13, 2024. Their largest trade was a sale of 52,409 shares, made on Nov 13, 2024. We estimate that they now own 210,863 shares of $EMR, worth an estimated $23.2 million.

Insider Trading at $EMR

There have been a total of 23 insider trades reported at $EMR since 2021, with 24,400 shares purchased and 270,990 shares sold. The most active insider traders in $EMR stock have been Frank J Dellaquila, Surendralal Lanca Karsanbhai, and Surendralal Lanca Karsanbhai. The most recent trade was a sale of 20 shares reported by MARK A BLINN (None), made on Feb 12, 2025.

History of Insider Stock Trades by Surendralal Lanca Karsanbhai

Company Ticker	Purchase / Sale	Shares	Date	Disclosed (EST)
EMR	Sale	52,409	Nov 13, 2024	Nov. 15, 2024, 5:39 p.m.
EMR	Sale	2,344	Feb 14, 2024	Feb. 16, 2024, 5:11 p.m.
EMR	Purchase	10,000	Nov 17, 2023	Nov. 20, 2023, 8:10 a.m.
EMR	Sale	4,603	Nov 16, 2022	Nov. 17, 2022, 5:20 p.m.

$EMR Executives and Stock Owners with Insider Trades

Frank J Dellaquila, Senior Exec. VP and CFO
Surendralal Lanca Karsanbhai, CEO and President
Surendralal Lanca Karsanbhai, President & CEO
Bell Katherine Button, Sr. VP & Chief Marketing Off.
Lisa Flavin, Senior VP & CCO
Mark J Bulanda, Exec Pres Auto Sols
Michael H. Train, SVP & Chief Sustain Officer
Nicholas J. Piazza, Senior VP & CPO
Ram R. Krishnan, Executive Vice Pres & COO
Sara Yang Bosco, Sr. VP, Secy and Gen. Counsel
Vidya Ramnath, Senior VP & CMO

*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.