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Susquehanna lowers Alibaba stock price target on investment pressures By Investing.com

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Susquehanna lowers Alibaba stock price target on investment pressures By Investing.com

Susquehanna cut its price target on Alibaba to $170 from $190; shares have declined 24% over the past six months and currently trade at $129.87 (P/E 21.82). Alibaba posted third-quarter revenue and profitability below expectations as it increases investments in Quick Commerce and AI+Cloud, prompting 9 analysts to lower earnings estimates and pressuring near-term margins. The company unveiled a next-gen XuanTie C950 5nm AI chip claiming >3x performance versus its predecessor, and several analysts (Morgan Stanley PT $180, Mizuho $190, Jefferies $212, US Tiger $175) remain constructive on AI/cloud-driven long-term upside despite near-term headwinds.

Analysis

Alibaba’s deliberate shift to prioritize strategic investments creates a two-track dynamic: near-term margin compression versus optionality on a materially larger AI+Cloud TAM over 12–36 months. The immediate second-order effects will show up in its ecosystem — tighter take-rates and longer receivable cycles for merchants as the platform subsidizes growth, and higher working-capital needs for logistics partners that could force partner M&A or third-party financing solutions. The XuanTie-class silicon push is a strategic lever that both raises switching costs and forces a regional supply-chain reorientation: expect incremental demand for advanced foundry capacity and local packaging/test services while also increasing the odds of export-control friction that would accelerate domestic supplier wins. Competitors (domestic cloud incumbents and hyperscalers) will likely respond with matched capex and price promotions, compressing cloud gross margins industry-wide even as revenue bases grow. Timing and risk: over the next 1–3 months, macro consumption and transaction-velocity data will drive downside headline moves; 6–24 months is the window where AI agent monetization and chip-driven differentiation could re-rate the equity. Tail risks that would overturn the bull case include renewed regulatory tightening or a failure to convert cloud AI investments into differentiated, monetizable products; reversal catalysts would be sustained sequential margin improvement or accelerating ARPU from cloud/AI customers.