So I was looking back at some market calls from a couple years ago and stumbled on this interesting piece about next 10x stocks that were supposed to pop by 2025. Got me thinking about how these plays actually panned out.

The thesis was pretty straightforward - if you wanted real 10x returns, you had to go after early-stage plays in emerging sectors. Three names kept coming up: flying cars, quantum computing, and EV charging infrastructure. Honestly, the logic made sense at the time.

First up was Archer Aviation. The whole flying car narrative was gaining traction back then. They were targeting FAA certification in 2025 for their eVTOL aircraft, which would've been massive if it happened. Stock was trading around $5 and the bull case had it potentially hitting $50+ for those 10x returns. The idea of cutting commute times from an hour to 10 minutes was compelling. Whether that actually materialized is another story, but the ambition was real.

Then there was Quantum Computing. This one was the speculative play - trading at like $0.80 with analyst targets near $9. That's your textbook 10x setup on paper. The company was actually showing some momentum too, with revenues doubling and they had secured contracts with NASA. High risk, high reward type situation.

The third one that caught attention was EVgo. Unlike the other two, this was more about fundamental business improvement than pure speculation. They were absolutely crushing it on growth - 234% revenue increase in Q3 2023, losses shrinking, and they were adding accounts like crazy. The EV charging infrastructure play made sense because the whole industry needed that backbone.

Looking at these now from 2026, it's a good reminder that next 10x stock opportunities usually come from sectors in early growth phases. But execution matters way more than the initial thesis. Flying cars, quantum tech, and EV infrastructure are all still relevant, they just evolved differently than anyone predicted. The key takeaway is that chasing 10x returns means accepting you'll be wrong more often than right, but when you're right, it makes up for it.