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TAL

TAL Education GroupC
NYSE / Consumer Services
Last Price
At close
2026-06-02
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
20%
Probability
Target price
$17.70
+77.5% vs current
Most likely
B
Base case
60%
Probability
Target price
$13.78
+38.2% vs current
B-
Bear case
20%
Probability
Target price
$10.78
+8.1% vs current

AI sentiment snapshot

Latest data as of 2026-01-30
Recent news sentiment (30D)
-
Unavailable
Company
-
Unavailable
Macro
-
Unavailable
Pulse
-
Unavailable
Sentiment proxy
+89.6
Score

AI commentary

Sentiment is cautiously constructive: the consensus median sits modestly above the anchor, reflecting measured upside from recovery expectations, but coverage dispersion and event risk (earnings, policy) keep near-term volatility elevated. Real upside requires clear enrollment momentum and policy stability.

RankAlpha Sentiment AI - 2026-01-30
Open full AI memo

Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-04-30eventAnalyst target revisions (consensus repricing)High impact

Recent broker notes show upward target revisions (e.g., UBS/others); a cluster of upgrades or downgrades within the next quarter could shift consensus [#SERP-6]. Date assumed as end of next quarter for window completeness.

2026-04-30catalystNext quarterly results / operational updateHigh impact

Upcoming quarterly results and management commentary could confirm margin recovery or show continued softness; market notes an imminent report in analyst feeds [#SERP-5]. Assumed date used due to no firm release calendar.

2027-01-30catalystRegulatory normalization and market re-engagement in ChinaHigh impact

Evolving regulatory stance and potential easing or clarified guidelines for after-school tutoring remain a multi-quarter macro driver; positive normalization would materially raise earnings visibility [#SERP-1].

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-01-30 • Updated nightlySource: Internal modelMethodology