MAR

Marriott InternationalC

Nasdaq / Consumer Services

At close

2026-06-02

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AI scenario view

RankAlpha Sentiment AI

B+

Bull case

25%

Probability

Target price

$388.50

+3.9% vs current

Most likely

Base case

50%

Probability

Target price

$328.00

-12.2% vs current

B-

Bear case

25%

Probability

Target price

$215.00

-42.5% vs current

AI sentiment snapshot

Latest data as of 2026-02-12

AI commentary

Market tone is mixed-positive after the recent Q4 release: investors rewarded guidance/forceful pipeline commentary while analysts remain split on medium-term upside [#News-0][#SERP-1]. Price-target dispersion is wide, signaling disagreement on margins and international recovery timing [#SERP-4]. Short-term sentiment is reactive to analyst revisions and macro headlines; long-term sentiment hinges on fee revenue conversion and global travel normalization [#News-2].

RankAlpha Sentiment AI - 2026-02-12

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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact

standard

Confidence

AI events

2026-02-10eventQ4 2025 earnings release and guidance (reported)High impact

Marriott reported Q4 2025 results and updated 2026 guidance on 2026-02-10; market reacted with a notable intraday move after results/guidance release [#News-0][#News-5].

2026-05-12catalystAnalyst revisions and target updates post-earningsMedium impact

Following the earnings/guidance update, analysts will revise 12-month targets and estimates over the next quarter; consensus shows wide dispersion today (low $215, median $328, high $388.5) which can drive volatility [#SERP-1][#SERP-4].

2027-02-12catalystSustained international travel recovery & fee revenue expansionHigh impact

Portfolio pipeline and management's long-term fee-based growth could materially lift valuation if global travel and group bookings continue recovering over the next 12 months (assumes steady macro/FX) [#News-2].

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Recommendation

N/A

No formal recommendation provided.

Open AI Memo

As of 2026-02-12 • Updated nightlySource: Internal modelMethodology