Sign up to access historical data
Similar companies
Company | Est. Transaction Value | |
---|---|---|
SalesforceCRM |
$220,000 | |
IBMIBM |
-$180,000 | |
ServiceNowNOW |
$4,000 | |
SAP SESAP |
$230,000 | |
GartnerIT |
-$110,000 |
Trades by US Politicians
Politician | Filing Date | Type | Size |
---|---|---|---|
Rohit Khanna Democrat | Jan 10, 2024 | Buy | $1K - $15K |
Lois Frankel Democrat | Sep 8, 2023 | Sell | $1K - $15K |
Rohit Khanna Democrat | Aug 29, 2023 | Buy | $1K - $15K |
Rohit Khanna Democrat | May 23, 2023 | Sell | $1K - $15K |
Rohit Khanna Democrat | Mar 24, 2023 | Sell | $1K - $15K |
Who is the latest politician to buy or sell Avery Dennison shares?
Rohit Khanna purchased Avery Dennison shares most recently on January 10, 2024.
Which politician has bought the most AVY stock in the last two years?
Rohit Khanna has bought the most AVY stock in the last 2 years, with an estimated value of $16,000.
Which politician has sold the most AVY stock over the last two years?
Rohit Khanna has sold the most AVY stock in the last 2 years, with an estimated value of $16,000.
What is the total value of politicians trading AVY stock in the last 2 years?
The net value of trades by US politicians for Avery Dennison in the last 2 years is negative, amounting to -$8,000. This suggests that US politicians do not believe in the success of the company for various reasons.
How do insider transactions over the last 2 years reflect on Avery Dennison's market confidence?
Over the last 2 years, insider transactions for Avery Dennison have largely consisted of selling shares, which could suggest various personal or financial motivations among insiders. The higher number of sales might require investors to investigate further, considering politicians might have insights or reasons not immediately apparent to the public.
Why should individual investors pay attention to the stock transactions of US politicians?
Monitoring US politicians' stock trades is valuable because they may have inside information about upcoming policies that could affect stock values, providing investors with valuable clues for making informed decisions.