HSAI

Hesai GroupC

Nasdaq / Automobiles & Components

Quote time unavailable

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AI scenario view

RankAlpha Sentiment Codex

B+

Bull case

20%

Probability

Target price

$21.49

Analysis reference price unavailable

Analysis 2026-08-06 · RankAlpha Sentiment Codex

Most likely

Base case

50%

Probability

Target price

$17.91

Analysis reference price unavailable

Analysis 2026-08-06 · RankAlpha Sentiment Codex

B-

Bear case

30%

Probability

Target price

$14.33

Analysis reference price unavailable

Analysis 2026-08-06 · RankAlpha Sentiment Codex

The current persistence contract does not provide an exact AI reference price. RankAlpha therefore does not calculate scenario return from the live quote. How scenarios are presented

AI sentiment snapshot

Latest data as of 2026-08-06

AI commentary

The upcoming August 18 earnings event is the dominant sentiment driver. Relevant company-source tone is constructive based on Q1 results and the Q2 revenue outlook, but coverage is thin, social data is absent, analyst reaction is unavailable, and no post-release price reaction exists yet. Maintain monitoring rather than treating the analyst median target as confirmed upside.

RankAlpha Sentiment Codex - 2026-08-06

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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact

standard

Confidence

AI events

2026-08-18eventQ2 2026 results scheduled for August 18Medium impact

Hesai’s investor-relations site schedules Q2 2026 results before the U.S. market opens, followed by an earnings call. No actual results, consensus surprise, or post-print reaction is available yet [#IR-2026-07-27].

2026-08-18catalystExecution against Q2 revenue outlookHigh impact

The Q1 2026 company release reported RMB680.6 million revenue, 471,723 lidar shipments, and RMB18.3 million net income, while indicating Q2 revenue of RMB850–900 million. Delivery against that outlook is the main forward operating test [#IR-2026-05-19].

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Recommendation

N/A

No formal recommendation provided.

Open AI Memo

As of 2026-08-06 • Updated nightlySource: Internal modelMethodology