Donald Steven Furman Net Worth
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Donald Steven Furman has an estimated net worth of at least $29.1 million*, as of March 11, 2026. They own 1.5 million shares of ALHC stock. They have sold 103,006 shares of ALHC stock since 2021, for an estimated $2.0 million.
Donald Steven Furman $ALHC SEC Form 4 Insider Trading
Donald Steven Furman has filed a total of 2 insider trades in $ALHC since 2021. Their most recent trade was a sale of 3,006 shares, made on Mar 31, 2022. Their largest trade was a sale of 100,000 shares, made on Nov 23, 2021. We estimate that they now own 1.5 million shares of $ALHC, worth an estimated $27.1 million.
Insider Trading at $ALHC
There have been a total of 346 insider trades reported at $ALHC since 2021, with 203,000 shares purchased and 152.2 million shares sold. The most active insider traders in $ALHC stock have been John E Kao, Robert Thomas Freeman, and Dawn Christine Maroney. The most recent trade was a sale of 245 shares reported by Robert L. Scavo (Chief Information Officer), made on Mar 12, 2026.
History of Insider Stock Trades by Donald Steven Furman
$ALHC Executives and Stock Owners with Insider Trades
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John E Kao, Chief Executive Officer
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Robert Thomas Freeman, Chief Financial Officer
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Dawn Christine Maroney, President, Markets
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Dawn Christine Maroney, President
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Christopher J Joyce, Chief Legal and Admin. Officer
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Dinesh M. Kumar, Chief Med & Operating Officer
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Hyong Kim, Chief Medical Officer
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Robert L. Scavo, Chief Information Officer
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Hakan Kardes, Chief Experience Officer
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Andreas P. Wagner, Chief Human Resources Officer
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Dinesh M. Kumar, Chief Medical Officer
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Joseph S Konowiecki, Chairman of the Board
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Sebastian Burzacchi, COO - Mgmt Services Org
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Richard A. Cross, SVP, General Counsel
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Donald Steven Furman, Chief Clinical Officer
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Rajesh Shrestha, Pres., New Markets & CBO
*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.