SY

So-Young InternationalA

Nasdaq / Media & Entertainment

At close

2026-06-02

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AI scenario view

RankAlpha Sentiment CodexPost-earnings T+3

B+

Bull case

25%

Probability

Target price

$4.25

+102.4% vs current

Most likely

Base case

50%

Probability

Target price

$3.20

+52.4% vs current

B-

Bear case

25%

Probability

Target price

$1.75

-16.7% vs current

AI sentiment snapshot

Latest data as of 2026-05-18

AI commentary

This is a low-conviction monitoring view. The only fresh primary company evidence I could confirm is the IR notice that So-Young will report first-quarter 2026 results on May 22, 2026 [#IR-2026-05-14], while the latest operating detail remains the March 25 FY2025 release showing strong aesthetic-treatment growth but continued cash deployment into branded centers [#IR-2026-03-25]. I could not verify a primary-source post-print release, analyst revision wave, or market reaction, and social coverage is unavailable, so I am not upgrading the thesis on this evidence set.

RankAlpha Sentiment Codex - 2026-05-18

Open post-earnings memo

Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact

standard

Confidence

AI events

2026-05-22eventQ1 2026 results call is scheduled for May 22, 2026High impact

The company IR homepage and recent-news feed show So-Young's first-quarter 2026 earnings conference call on Friday, May 22, 2026 at 7:30am EDT, with the May 14 news item announcing first-quarter 2026 financial results for that date [#IR-2026-05-14].

2026-12-31catalystAesthetic-treatment expansion remains the main operating leverHigh impact

The March 25, 2026 FY2025 release showed total revenue of RMB460.7 million, aesthetic-treatment services revenue up 205.3% YoY to RMB248.1 million, 49 fully operational branded aesthetic centers, and Q1 2026 aesthetic-treatment revenue guidance of RMB268.0 million to RMB278.0 million [#IR-2026-03-25].

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo

As of 2026-05-18 • Updated nightlySource: Internal modelMethodology