Skip to main content

ELI5: Why Split Stocks?



Last summer, Apple's stock price went from $500 to $125. On face value, this shocking. A drop of 75% for one of the world's most successful and beloved companies. Are iPhones the next BlackBerries? Was there a scandal with Siri? Nope. The reality is much more boring. 

It was a matter of corporate accounting. Apple did what many public companies do from time to time. They increased their number of shares - by splitting them. Stock splits can happen in many fashions. 2-for-1, 3-for-1, you get the picture. In Apple's case, 4-for-1. 

This means Apple 4x their shares outstanding. Their overall value remained unchanged. Just more shares, worth less a piece.

Seems like a lot of work to get back to same place, no?

There's a reason. Stock splits help increase access. As a stock rises, it becomes more and more difficult to buy. Berkshire Hathaway is a prime example. Through decades of compounded success (and never splitting) a single share is now trading well over a whopping $300K. 

You could make the case that greater access means more buyers, thus the price gets bid up. However, there are many examples of stocks dropping after a split. Including Apple, who's value was down following theirs. 

Whatever effect it might have shouldn't matter in the long run, the value eventually comes back to fundamentals. The impact on you, the investor is minimal. 

Comments

Popular posts from this blog

Today's Special: Humble Pie

You champion a project, fight for an idea, and then...reality sets in. That churning in your stomach isn't butterflies, it's the realization you've missed the mark.  Pride will puff up your chest, and kick in the "defend at all costs" instinct. But arguing with the umpire never changed a call. Admitting you're wrong isn't a sign of weakness. It can strengthen your professional standing. In a world obsessed with the illusion of infallibility, the courage to adjust course is a breath of fresh air. It shows you're confident enough to be wrong, and adaptable enough to learn from it. Do your research, think critically, and stand behind your decisions. But when the data whispers (or screams) otherwise, don't be afraid to swallow that slice of humble pie. Be the first to acknowledge. Don't wait for someone to point out your mistake. Be open, take responsibility, and most importantly, focus on what you're going to do to address it. Don't dwell ...

When Perfect Becomes a Problem: The iCar Story

Let's talk about Apple's iCar, or rather, the ghost of it. A decade. Ten billion dollars. Poof. Gone. Like a puff of smoke from a dream that never quite woke up. They wanted to launch a revolution, a fully-formed, flawless chariot. But revolutions aren't born in secret labs; they're forged in the messy, chaotic crucible of the real world. You don't build a movement by hiding in the shadows. You don't create a product people love by ignoring them. You don't change the world by waiting for perfection. It's about the minimum viable. It's about shipping early, shipping often, and listening—really listening—to the people you're trying to serve. Apple built a cathedral of secrecy. A monument to what might have been. And then, they tore it down.  They spent billions on a dream, while ignoring the simple truth: the market doesn't care about your dreams. It cares about solutions. It cares about things that work. So, here's the lesson: stop chasing...

Why We Shouldn't Be Afraid of Ambiguity

Ambiguity. That fuzzy monster that chases us down darkened hallways, whispering doubts about our roadmap and feature sets. You know the feeling. You constantly wrestle with unknowns: Will users like this? Is this the right direction? Frankly, if you had a nickel for every time the answer wasn't crystal clear, well, you might actually want to chase that ambiguity down the hall. But here's the thing: ambiguity isn't your enemy. It's your dance partner. Innovation rarely happens in a land of perfect clarity. Sure, there's a time for well-defined processes. But when you're creating something new, there are bound to be more questions than answers. The key is to learn to waltz with the unknown .  Embrace the experiment. Don't be afraid to throw some spaghetti at the wall and see what sticks.  Focus on outcomes, not outputs. Don't get hung up on features. What problem are you trying to solve? How will you measure success? Get comfortable with "go...