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2 Brilliant Stock Split Stocks to Buy on the Dip and Hold for 10 Years

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2 Brilliant Stock Split Stocks to Buy on the Dip and Hold for 10 Years

Netflix and Booking Holdings are both down 25% over the past year despite recent stock splits: Netflix did a 10-for-1 split and Booking Holdings a 25-for-1 split. The article argues both stocks remain attractive long-term, citing Netflix’s large streaming addressable market and ad growth, and Booking’s global travel expansion, network effects, and AI tools. The piece is largely opinionated and long-term in focus, so near-term market impact is limited.

Analysis

The market is treating both names as “mature winners” that just got too expensive, but the bigger signal is that each is moving from pure growth compounding into platform monetization. That transition tends to compress multiples before it expands them: investors pay less for headline growth, then rerate when incremental margin shows up from ads, pricing leverage, or adjacent products. In that sense, the selloff looks more like a timing mismatch between execution and expectations than a broken franchise. For NFLX, the key second-order effect is that new content formats and ad load can raise engagement without requiring linear subscriber growth. If the company can convert even a modest share of under-monetized viewing into higher ARPU over the next 12-18 months, the earnings curve can steepen faster than consensus models assume. The risk is that pricing fatigue and content missteps create a “good product, worse sentiment” period where churn stays contained but valuation remains stuck. For BKNG, the AI disruption thesis is likely overstated near term because travel planning is still a fragmented, high-intent transaction market where inventory depth and conversion matter more than pure search. The real threat is not substitution but margin leakage: if AI assistants become the discovery layer, booking platforms may need to pay more to acquire traffic or share economics. The offset is that BKNG’s scale and data should let it internalize AI into conversion tools, which could preserve moat while lowering customer acquisition costs. The contrarian view is that both stocks may be better risk/reward than the market is pricing because the recent underperformance has already reset expectations, while their end markets remain large enough to support multi-year compounding. The next re-rating catalyst is not macro; it is proof that the companies can turn product innovation into operating leverage. That means the stocks can outperform even in a mediocre tape if the next 2-3 earnings prints show accelerating margins or better guide quality.