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Top Wall Street analysts like these 3 dividend stocks for solid returns

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Top Wall Street analysts like these 3 dividend stocks for solid returns

The article highlights three dividend-paying stocks—Kinetik yielding about 7.0%, SLB at 2.5%, and IBM at 2.7%—that analysts see as attractive amid a potentially higher-rate backdrop. Kinetik's price target was raised to $53 from $50, SLB was reiterated Buy with a $63 target, and IBM was upgraded to a $315 target from $300 on AI- and infrastructure-driven growth. Overall tone is constructive on capital returns and long-term fundamentals, but the piece is mainly analyst commentary rather than a market-moving catalyst.

Analysis

The common thread is not “yield” but balance-sheet optionality: each name is monetizing a different scarcity premium. KNTK is the cleanest expression of physical bottleneck value — a takeaway/processing asset in a constrained basin should keep pricing power elevated until new capacity lands, and the real upside is not the current distribution but the potential re-rating from being a strategic asset with takeout value. The market is likely underweighting how much of KNTK’s cash flow durability is driven by permitting friction and sour-gas complexity, which is a moat measured in years, not quarters.

SLB sits in a different regime: its dividend is modest, but the equity can compound if international activity remains insulated from North American softness. The second-order effect is that capital discipline across E&Ps forces more spending into high-return international/deepwater projects, which benefits the best global service franchises before it benefits the commodity cycle. A key risk is that the thesis is more back-half weighted; if exploration FIDs slip, SLB can look expensive on near-term earnings even as the medium-term setup improves.

IBM is the most interesting contrarian because the market usually treats it as a slow-growth value/defensive income name, but the AI lever is actually operating leverage in infrastructure, not just software hype. If AI workloads keep pushing beyond training into inference and transaction-level compute, IBM’s installed base gets more valuable without needing share gains everywhere. The surprise is that this can support both a higher multiple and a sturdier dividend, but only if capex translation into revenue remains visible; otherwise the stock can stall despite good narrative momentum.

Overall, the setup is moderately bullish but uneven: KNTK offers the highest idiosyncratic upside with event-driven catalysts, SLB is a cyclical quality long with a slower burn, and IBM is a multiple-expansion story disguised as a dividend name. The consensus may be underestimating how much rate anxiety is pushing investors toward yield, which can keep these names bid even if the macro backdrop softens.