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Insider Trading

Last Updated: 2 days, 14 hours ago

Vishwas Setia has an estimated net worth of at least $14.0 million*, as of July 15, 2026. They own 358,324 shares of MPLT stock. They have sold 39,293 shares of MPLT stock since 2021, for an estimated $1.1 million.

Vishwas Setia $MPLT SEC Form 4 Insider Trading

Vishwas Setia has filed a total of 11 insider trades in $MPLT since 2021. Their most recent trade was a sale of 2,068 shares, made on May 06, 2026. Their largest trade was a sale of 9,935 shares, made on May 05, 2026. We estimate that they now own 358,324 shares of $MPLT, worth an estimated $12.9 million.



Insider Trading at $MPLT

There have been a total of 112 insider trades reported at $MPLT since 2021, with 992,065 shares purchased and 786,856 shares sold. The most active insider traders in $MPLT stock have been Christopher A. Kroeger, Erin Pennock Foff, and James Woodruff Lillie. The most recent trade was a sale of 28,091 shares reported by Christopher A. Kroeger (Chief Executive Officer), made on Jul 16, 2026.



History of Insider Stock Trades by Vishwas Setia

Company Ticker Purchase / Sale Shares Date Disclosed (EST)
MPLT logo MPLT Sale 2,068 May 06, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 9,935 May 05, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 968 May 05, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 8,496 May 06, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 4,803 May 04, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 8,989 May 04, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 325 May 04, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 787 May 04, 2026 May 6, 2026, 8:15 p.m.
MPLT logo MPLT Sale 29 Apr 16, 2026 April 17, 2026, 4:05 p.m.
MPLT logo MPLT Sale 87 Apr 16, 2026 April 17, 2026, 4:05 p.m.
MPLT logo MPLT Sale 2,806 Apr 15, 2026 April 17, 2026, 4:05 p.m.




$MPLT Executives and Stock Owners with Insider Trades



*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.