B+
Bull case
20%
Probability
Target price
$41.00
Analysis reference price unavailable
Analysis 2026-01-27 · RankAlpha Sentiment AI
PEBK
Peoples Bancorp of North CarolinaDNasdaq / Banks
Last Price
Quote time unavailable
AI scenario view
RankAlpha Sentiment AIMost likely
B
Base case
60%
Probability
Target price
$34.34
Analysis reference price unavailable
Analysis 2026-01-27 · RankAlpha Sentiment AI
B-
Bear case
20%
Probability
Target price
$28.00
Analysis reference price unavailable
Analysis 2026-01-27 · 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 2026-01-27
Recent news sentiment (30D)
+25.9
Positive
Company
-
Unavailable
Macro
+25.9
Positive
Pulse
-
Unavailable
Weekly research (10D)
-36.0
Negative
Sentiment proxy
+35.9
Score
AI commentary
Coverage is cautiously constructive: median targets cluster in the mid-$30s with some high-end optimism. Dispersion in analyst targets and sensitivity to near-term earnings/margin prints keep conviction muted.
RankAlpha Sentiment AI - 2026-01-27
Open full AI memoEvidence flagged
No evidence quality warning is currently attached to this memo.
Impact
standard
Confidence
-
AI events
2026-04-27eventQ1 2026 earnings release (estimated)Medium impact
Quarterly results and guidance could prompt a valuation reset; consensus targets cluster in the mid-$30s.
2026-04-27catalystNear-term margin pressure: deposit repricingHigh impact
Rising deposit costs and short-term funding repricing may compress NIM and EPS over the next quarter; market coverage shows mixed near-term outlooks and target dispersion.
2027-01-27catalystMedium-term loan growth and deposit stabilityHigh impact
Local expansion and commercial lending growth could expand earnings and valuation over 12 months if credit remains stable.
Recommendation
N/A
No formal recommendation provided.
As of 2026-01-27 • Updated nightlySource: Internal modelMethodology