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ATR

AptarGroupA
NYSE / Materials
Last Price
At close
2026-07-22
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AI scenario view

RankAlpha Sentiment Codex
B+
Bull case
25%
Probability
Target price
$165.67
+27.5% vs current
Most likely
B
Base case
50%
Probability
Target price
$140.00
+7.8% vs current
B-
Bear case
25%
Probability
Target price
$112.00
-13.8% vs current

AI sentiment snapshot

Latest data as of 2026-07-18
Recent news sentiment (30D)
+18.7
Positive
Company
-
Unavailable
Macro
+19.1
Positive
Pulse
-45.0
Negative
Sentiment proxy
+54.5
Score

AI commentary

News tone is mixed: the primary Q1 release showed strong reported sales and injectables growth but flat core sales, lower earnings and margin compression, alongside constructive Q2 guidance. Recent dividend, sustainability and conference headlines add limited operating information. No social coverage, options skew, short interest, Glassdoor data, post-print price-reaction attribution or analyst revision data are available.

RankAlpha Sentiment Codex - 2026-07-18
Open full AI memo

Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-09-01eventCEO successionMedium impact

Gael Touya is scheduled to become CEO effective September 1, 2026. The transition is announced but execution and continuity remain monitoring points. [#SEC-8K-2026-04-30]

2026-10-16catalystQ2 2026 guidance executionMedium impact

Aptar guided to adjusted EPS of $1.32-$1.40 for Q2 2026 and expects growth across segments excluding emergency-medicine destocking, while flagging supply-chain uncertainty. [#SEC-8K-2026-04-30]

2026-10-16catalystDestocking and margin pressureMedium impact

Emergency-medicine destocking reduced Pharma prescription sales, while adjusted EBITDA margins declined year over year in Pharma, Beauty and Closures. Further weakness or delayed recovery would pressure the shares. [#SEC-8K-2026-04-30]

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology