Tesla insider buys stock for the first time in years and it’s hilarious

For the first time in five years, a Tesla insider required to report Tesla stock transactions bought stocks rather than selling them.

But the transaction is so small that it makes the whole situation hilarious.

Insiders in public companies are top executives and board members who are required to report to the SEC any transaction related to the company’s stock.

For Tesla, it has become a running joke that insiders only sell, never buy the stock.

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This has been true without exception for years.

We don’t know as much about executives as Tesla has a very short top executive bench who are required to file transactions. However, when it comes to its board members, they have been selling at an impressive rate.

We recently reported on Kimball Musk, Elon’s brother, and Tesla’s Chief Financial Officer Taneja Vaibhav recently selling ahead of a recent drop in the company’s stock price.

Tesla’s chairwoman, Robyn Denholm, also sold $33 million worth of Tesla shares in February and over $100 million in the 3 months prior.

However, we now have confirmation that a Tesla board member is buying, rather than selling.

Joe Gebbia, the Airbnb co-founder who joined Tesla’s board in 2022, confirmed that he bought 4,000 shares in Tesla last week worth about $1 million:

Electrek’s Take

Gebbia is estimated to be worth over $7 billion. Therefore, his purchase of $1 million worth of Tesla stock would be equivalent to my buying a fractional share in Tesla.

Furthermore, the disclosure confirmed that despite being on the board for the last 3 years, Gebbia owned only 111 shares in Tesla before the transaction.

That’s quite the show of confidence in Tesla.

Thie whole situation with the board is disappointing. Tesla’s core business is melting. The company reported its worst quarter in years last week, and the stock surged 20%.

None of it makes any sense.

The board is sitting on its hands while the most powerful force accelerating the advent of electric transport is being destroyed in favor of nonsensical predictions about the potential of solving self-driving and humanoid robots.