| Date | Insider | Type | Value | |
|---|---|---|---|---|
| Feb 11, 26 | Sanjay Jawa | Grant | - | |
| Feb 11, 26 | Kate Newhouse | Grant | - | |
| Oct 5, 23 | Timothy Barker | Buy | $24K | |
| Nov 2, 20 | 1. Tim Barker 2. Sanjay Jawa 3. Giles Alexander 4. Lynne Green 5. Ben Ievers 6. Annie Meharg 7. Kate Newhouse 8. Aaron Sefi 9. Alexandra Thompson | Grant | $647K | |
| Nov 2, 20 | 1. Tim Barker 2. Sanjay Jawa 3. Giles Alexander 4. Lynne Green 5. Ben Ievers 6. Annie Meharg 7. Kate Newhouse 8. Aaron Sefi 9. Alexandra Thompson | Grant | $647K |
Kooth (KOO) has recorded 0 insider transactions from 0 insiders. Total insider buying volume stands at $0, while total selling volume is $0. Insider activity shows a balanced mix of buying and selling.
Kooth (KOO) has recorded 0 insider operations, including 0 open-market purchases ($0), 0 sales ($0). The insider sentiment is balanced.
Recent activity is concentrated over 1 months in the last year.
Across all 5 recorded transactions, the breakdown by type is: grant (4, 80%), buys (1, 20%).
Data sourced from regulatory filings (SEC Form 4, AMF, BaFin, FI, and other European authorities).
Kooth has recorded 0 insider operations in total, including 0 open-market purchases ($0), 0 sales ($0).
Insiders at Kooth show balanced activity with 50% purchases and 50% sales. Total buy volume is $0 versus $0 in sales.
InsiderLens tracks 0 insiders at Kooth (KOO). Data is sourced from mandatory regulatory filings for persons with access to privileged information.
The insider signal for KOO is neutral, based on a 50% buy ratio across 0 buy and sell transactions reported to financial regulators. Transactions from C-suite executives (CEO, CFO) and board members are generally considered the most informative signals.
Insider trading data for Kooth comes from official regulatory filings: SEC Form 4 (United States), AMF (France), BaFin (Germany), FI (Sweden), and other European financial authorities. These filings are mandatory for directors, officers, and holders of more than 10% of a company's shares. InsiderLens aggregates and normalizes this data for analysis.