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Jefferies reiterates Trip.com stock rating with $88 price target

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Jefferies reiterates Trip.com stock rating with $88 price target

Trip.com beat Q4 2025 estimates with EPS $4.97 vs $4.77 and revenue $15.4B vs $14.86B; revenue grew 17% over the last twelve months and gross profit margin was 81%. Jefferies reiterated a Buy with a $88 price target while Barclays, Benchmark and Morgan Stanley trimmed PTs to $75/$72/$75 but kept Overweight/Buy ratings. Shares trade at $50.09 near a 52-week low of $48.48 with a P/E of 7.51, and InvestingPro flags the stock as undervalued versus fair value.

Analysis

Vertical AI and tighter control of the end-to-end travel stack are catalytic for a platform that can convert informational advantages into higher take-rates and lower variable service costs. Over 12–36 months this dynamic disproportionately benefits firms that own bookings, fulfillment and post-sale logistics — they capture incremental margin per customer while disintermediating small agencies and metasearch arbitrageurs. Supply-chain effects are subtle but real: better demand forecasting and dynamic packaging reduce refund/void rates and working-capital drag for package suppliers, meaning margin expansion can arrive without proportional revenue growth. Execution risk is binary and front-loaded: near-term profitability will be determined by the efficiency of AI deployment and whether incremental marketing spend falls or rises as customer acquisition shifts to owned channels. Macro and regulatory cracks — a renewed consumer slowdown in mainland China, travel restrictions, or tighter data/privacy rules — can turn a multi-quarter re-rating into an earnings disappointment within 3–6 months. Conversely, a successful pilot that shows >20% reduction in service costs or a measurable uplift in conversion can trigger a rapid multiple re-rating among risk-seeking global funds. The market appears to underweight non-linear margin upside from verticalization while overstating linear short-term expense noise. That divergence creates asymmetric payoff setups where disciplined, time-boxed exposure captures potential 40–80% upside on successful execution, with defined drawdowns if the AI rollout disappoints. Tactical sizing and hedges that isolate company-level execution from macro China risk are therefore essential.