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TenarisD
NYSE / Energy
Last Price
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
20%
Probability
Target price
$50.00
Analysis reference price unavailable
Analysis 2026-01-30 · RankAlpha Sentiment AI
Most likely
B
Base case
60%
Probability
Target price
$44.57
Analysis reference price unavailable
Analysis 2026-01-30 · RankAlpha Sentiment AI
B-
Bear case
20%
Probability
Target price
$38.00
Analysis reference price unavailable
Analysis 2026-01-30 · RankAlpha Sentiment AI

The current persistence contract does not provide an exact AI reference price. RankAlpha therefore does not calculate scenario return from the live quote. How scenarios are presented

AI sentiment snapshot

Latest data as of 2026-01-30
Recent news sentiment (30D)
+38.0
Positive
Company
+2.0
Mixed
Macro
+38.1
Positive
Pulse
-
Unavailable
Weekly research (10D)
+22.0
Positive
Sentiment proxy
+35.3
Score

AI commentary

Analyst consensus clusters in the mid-$40s (median $44.57, range $38–$50). Near-term sentiment is neutral-to-cautious ahead of FY2025 results on 2026-02-25; post-earnings revisions will likely determine direction for the next 3–6 months.

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

2026-02-25eventFY2025 results (2026-02-25)Medium impact

FY2025 results and management guidance on 2026-02-25 are likely to reprice near-term estimates and set the tone for analyst revisions.

2026-03-26catalystPost-earnings analyst revisionsMedium impact

Analysts typically update 12-month targets in the weeks after results; aggregate revisions could shift the consensus mid-$40s range.

2027-01-30catalystSustained OCTG demand recoveryHigh impact

A multi-quarter recovery in upstream capex and tubular demand would lift volumes, pricing and margins, supporting a structural re-rate.

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

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