Mahmud Ul Haq Net Worth
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Mahmud Ul Haq has an estimated net worth of at least $17.3 million*, as of Dec. 18, 2024. They own 5.0 million shares of CCLD stock. They have sold 119,440 shares of CCLD stock since 2021, for an estimated $-507,820.
Mahmud Ul Haq $CCLD SEC Form 4 Insider Trading
Mahmud Ul Haq has filed a total of 7 insider trades in $CCLD since 2021. Their most recent trade was a sale of 11,960 shares, made on Sep 29, 2025. Their largest trade was a purchase of 217,824 shares, made on Dec 22, 2023. We estimate that they now own 5.0 million shares of $CCLD, worth an estimated $17.8 million.
Insider Trading at $CCLD
There have been a total of 23 insider trades reported at $CCLD since 2021, with 659,339 shares purchased and 101,000 shares sold. The most active insider traders in $CCLD stock have been A Hadi Chaudhry, Mahmud Ul Haq, and . The most recent trade was a sale of 15,000 shares reported by JOHN N DALY (None), made on Nov 10, 2025.
History of Insider Stock Trades by Mahmud Ul Haq
| Company Ticker | Purchase / Sale | Shares | Date | Disclosed (EST) |
|---|---|---|---|---|
CCLD
|
Sale | 11,960 | Sep 29, 2025 | Sept. 29, 2025, 9:35 p.m. |
|
CCLD
|
Purchase | 32,500 | Dec 29, 2023 | Jan. 2, 2024, 9 a.m. |
|
CCLD
|
Purchase | 149,676 | Dec 20, 2023 | Dec. 22, 2023, 6:15 p.m. |
|
CCLD
|
Purchase | 132,500 | Dec 21, 2023 | Dec. 22, 2023, 6:15 p.m. |
|
CCLD
|
Purchase | 217,824 | Dec 22, 2023 | Dec. 22, 2023, 6:15 p.m. |
|
CCLD
|
Sale | 1,000 | Sep 18, 2023 | Sept. 20, 2023, 9:30 p.m. |
|
CCLD
|
Sale | 6,480 | Mar 14, 2023 | March 16, 2023, 9:30 p.m. |
MTBC
|
Sale | 46,740 | Jun 28, 2021 | June 29, 2021, 8 p.m. |
|
MTBC
|
Sale | 53,260 | Jun 30, 2021 | June 29, 2021, 8 p.m. |
$CCLD Executives and Stock Owners with Insider Trades
-
A Hadi Chaudhry, CEO and President
-
Mahmud Ul Haq, Executive Chairman
*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.