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GTLS

Chart IndustriesF
NYSE / Capital Goods
Last Price
At close
2026-06-02
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
30%
Probability
Target price
$68.75
-67.0% vs current
Most likely
B
Base case
50%
Probability
Target price
$55.00
-73.6% vs current
B-
Bear case
20%
Probability
Target price
$38.25
-81.6% vs current

AI sentiment snapshot

Latest data as of 2025-11-14
Recent news sentiment (30D)
-
Unavailable
Company
-
Unavailable
Macro
-
Unavailable
Pulse
-
Unavailable
Sentiment proxy
0.0
Score

AI commentary

Company filings and PRs emphasize strong hydrogen-order momentum and backlog growth, prompting cautious optimism among investors; coverage notes sizable award wins but stresses execution and timing risk [#PR-2025-08-12], [#REUT-2025-08-13], [#PR-2025-11-05]. Analyst coverage skews positive with mean targets above the market anchor, reflecting measured optimism contingent on demonstrated execution [#YA-analyst-mean-2025].

RankAlpha Sentiment AI - 2025-11-14
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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2025-11-05catalystQuarterly guidance vs. consensus (beat/miss risk)High impact

Earnings releases and investor presentations create near-term volatility if revenue or EPS miss or beat consensus; analysts' mean target sits above the current price [#PR-2025-11-05], [#YA-analyst-mean-2025].

2026-03-31catalystBiopharma and LNG demand diversifies revenueHigh impact

Investor materials and filings highlight biopharma cryogenic equipment and LNG projects as complementary demand drivers that reduce single-market exposure [#IR-presentation-Q3-2025], [#10-Q-2024-06-30].

2026-06-30eventExecution risk: supply-chain and delivery delaysHigh impact

MD&A and recent 10-Q flag supply-chain and timing risks that can delay backlog conversion into revenue and compress margins [#10-Q-2024-06-30], [#PR-2025-11-05].

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2025-11-14 • Updated nightlySource: Internal modelMethodology