When Apple announced as part of its latest earnings report that it would split its stock four ways as of the end of August, the company said the stock split was meant to make the shares more "accessible" to investors.
Stock splits, which have become increasingly rare, at least in the tech industry, are "something that a lot of companies probably should do pretty regularly," according to Nasdaq Chief Economist Phil Mackintosh.
With a stock like Apple, which has quadrupled in price since the last time it was split in 2014, a split does indeed broaden the company's potential investor base, Mackintosh said. The move doesn't change the inherent market capitalization of the company — it simply makes it cheaper for investors to get a piece — particularly the retail investors and day traders who have been flooding the online trading platforms like Robinhood.
At $100 or so, which is roughly the price of a single share of Apple after a four-way split at its current price, "it's probably the perfect stock price" for Apple, Mackintosh said. The split will make the trading spreads tighter, which he said is likely to keep intraday volatility down and help the price continue to go up.
Still, as Mackintosh noted, retail investors should look at stock splits as a way to build positions in companies with strong fundamentals that might have otherwise been out of reach; they should not change the calculus about whether the stock itself is a good investment.
President Donald Trump is talking up a joint venture investing up to $500 billion for infrastructure tied to artificial intelligence by a new partnership formed by OpenAI, Oracle and SoftBank. The new entity, Stargate, will start building out data centers and the electricity generation needed for the further development of the fast-evolving AI in Texas, according to the White House. The initial investment is expected to be $100 billion and could reach five times that sum. While Trump has seized on similar announcements to show that his presidency is boosting the economy, there were already expectations of a massive buildout of data centers and electricity plants needed for the development of AI.
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