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BofA cuts Hesai Group stock price target on higher costs By Investing.com

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BofA cuts Hesai Group stock price target on higher costs By Investing.com

BofA cut its price target on Hesai to $30 from $32 but kept a Buy rating while the stock trades at $20.24. Hesai reported Q4 fiscal 2025 revenue of RMB1.0bn (+39% y/y, +26% q/q) with 41% gross margin and net income of RMB153m (down 40% q/q due to a prior one-off gain); Q1 fiscal 2026 guidance calls for 400k–450k lidar units (including 100k robotics units) and RMB650–700m revenue. BofA raised its 2026–27 shipment forecasts by 15% but cut 2026 revenue by 4% and EPS by 16% due to higher opex, while expecting the company to remain profitable in Q1; company also reported Q4 2025 revenue of $433m (+46% y/y) and full-year GAAP net income of $62m.

Analysis

Hesai’s narrative is increasingly bifurcating valuation from hardware economics: buy-side focus on higher-level “AI enabler” optics (LLM/sensor fusion tie‑ins) can re-rate the stock on story rather than sustainable unit economics. That creates a window where market sentiment and OEM partnership headlines move the multiple much faster than quarter-to-quarter margin recovery, benefiting companies positioned as turnkey sensor+software stacks and cloud/edge inference suppliers. Second-order winners include edge compute vendors and GPU suppliers that monetize the sensor-to-LLM pipeline, plus photonics/MEMS foundries that scale lidar volume without taking price risk; losers will be modular lidar component suppliers if OEMs vertically integrate or consolidate on a single supplier. Key structural risks are ASP compression as unit volumes scale, concentration in a few large auto/robotics customers, and non-linear regulatory/geopolitical frictions that can cut off export routes and kill western OEM contracts quickly. These play out on different horizons: days for sentiment and headline-driven flows, months for shipment ramps and win announcements, and years for commoditization and margin normalization. The consensus tilt toward an AI multiple implies two practical consequences: 1) near-term upside is headline-sensitive and thus tradable; 2) downside from earnings/expense misses is convex. Monitor sell-through (not just shipments), gross margin ex‑nonrecurring items, and incremental software/service rev as the real ballast for a higher multiple. If those metrics lag, headline-driven re-rating will reverse sharply — especially in a funding‑constrained hardware cycle.