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KOP

KoppersA
NYSE / Materials
Last Price
At close
2026-07-18
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AI scenario view

RankAlpha Sentiment Codex
B+
Bull case
25%
Probability
Target price
$62.00
+26.2% vs current
Most likely
B
Base case
50%
Probability
Target price
$53.00
+7.9% vs current
B-
Bear case
25%
Probability
Target price
$40.00
-18.6% vs current

AI sentiment snapshot

Latest data as of 2026-07-17
Recent news sentiment (30D)
+18.2
Positive
Company
-
Unavailable
Macro
+18.8
Positive
Pulse
-45.0
Negative
Sentiment proxy
+51.6
Score

AI commentary

Primary-source support is strong for the restructuring thesis, but recent news flow and social coverage are thin. No credible post-earnings analyst revision set is available, and the peer set is loose; maintain a cautious monitoring stance despite the positive deterministic prior.

RankAlpha Sentiment Codex - 2026-07-17
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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-09-30catalystRestructuring charges may pressure near-term resultsMedium impact

Koppers expects $170 million-$195 million of non-cash charges in Q2-Q3 2026 and $57 million-$67 million of cash closure costs, creating headline and price-drop risk before savings materialize. [#SEC-8K-2026-05-08]

2026-12-31eventStickney wind-down and Nyborg transitionHigh impact

The company conditionally plans to end remaining Stickney production by December 31, 2026 and shift production to Nyborg in Q4 2026. Execution, labor discussions, customer retention, and supply-chain continuity are key checkpoints. [#SEC-8K-2026-05-08]

2027-12-31catalystPotential 2027 CMC self-help benefitsHigh impact

Koppers estimates annual free-cash-flow improvement of $15 million-$25 million, adjusted EBITDA savings of $15 million-$20 million, and adjusted EPS benefit of $1.00-$1.20 after completion. The thesis depends on execution and stabilization of challenged carbon markets. [#SEC-8K-2026-05-08]

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Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-07-17 • Updated nightlySource: Internal modelMethodology