PLXS
PlexusCNasdaq / Technology Hardware & Equipment
Last Price
At close
2026-06-11
Current thesis
The post-print bull case is straightforward: Q2 beat prior company guidance on revenue and non-GAAP EPS, Q3 guidance stepped higher again, cash-cycle performance improved to 64 days from 69 days in Q1, and record program wins reinforce management's claim that growth is being driven by real ramps and share gains rather than a one-quarter spike. [#8-K-2026-04-29]
Posture
Mixed
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite, 7D delta +44.8.
What can break
Fiscal 2026 free-cash-flow outlook was reduced to $50 million to $75 million, indicating working-capital demands remain elevated even with stronger revenue. [#8-K-2026-04-29]
Momentum
64
Value
53
Sentiment
37
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $235.00 · Bull $270.00 · Bear $205.00
Data freshness
Prices
As of 2026-06-11
Fundamentals
As of 2026-06-10 • Vendor: Data Vendor v1
Scores
As of 2026-06-11 • Model: HYBRID_IC_RP
AI Memo
As of 2026-04-29 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-06-11
Investment thesis
As of 2026-06-11
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $200.80
Why
Momentum64 · Δ7d +44.8
Value53 · Δ7d -0.6
Sentiment37 · Δ7d -0.6
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Momentum · See technicals
Momentum
64
34% active weight
Current posture
7d trendFlat
Δ7d
+44.8
Δ21d
-2.1
Value
53
32% active weight
Current posture
7d trendFlat
Δ7d
-0.6
Δ21d
-0.1
Sentiment
37
33% active weight
Current posture
7d trendFlat
Δ7d
-0.6
Δ21d
-5.8
Why this grade
Composite grade C. Momentum 64.3 / Value 52.9 / Sentiment 37.4
Fundamentals (TTM)As of 2026-06-10
Fundamentals (TTM)
As of 2026-06-10
Market Cap
$7.37B
Beta
0.80
Shares Out
26.76M
P/E (TTM)
24.5
P/S (TTM)
1.02
P/FCF (TTM)
26.70
Rev YoY
+0.7%
EPS YoY
+26.7%
Gross Margin
+10.1%
Op Margin
+5.0%
Net Debt
-$168.68M
Current Ratio
1.58
As of 2026-06-11 • Updated nightlySource: Internal modelMethodology