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SLAB

Silicon LaboratoriesD
Nasdaq / Semiconductors & Semiconductor Equipment
Last Price
At close
2026-07-18
View Chart
Current thesis
The bull case is now mostly merger execution: a successful April 30 stockholder vote and unchanged first-half 2027 close expectation could pull the stock closer to the $231 cash consideration, while the last confirmed operating release still showed strong 2025 growth and design-win momentum.
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.0.
What can break
If the transaction breaks, SLAB could re-rate back to a standalone valuation where suspended guidance, execution uncertainty, and deal-process disruption matter more than current spread math.
Momentum
59
Value
40
Sentiment
45
Setup hits (3d)
— · Net —
AI TargetsBase $223.00 · Bull $229.00 · Bear $185.00
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-04-29 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net —
Target $219.60
Why
Momentum59 · Δ7d +20.2
Value40 · Δ7d +0.0
Sentiment45 · Δ7d -2.7
So what
Weak posture. Prioritize risk control and patience.
Setup hits not loaded

Load setup hits to see net bias and recent triggers.

Load setup hits
Lead driver: Value · See fundamentals
Momentum
59
26% active weight
Current posture
7d trendImproving
Δ7d
+20.2
Δ21d
+39.5
Value
40
39% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.1
Sentiment
45
34% active weight
Current posture
7d trendSoftening
Δ7d
-2.7
Δ21d
-1.3
Why this grade

Composite grade D. Momentum 59.1 / Value 40.0 / Sentiment 44.6

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$7.17B
Beta
1.55
Shares Out
32.98M
P/E (TTM) · Derived
-109.6
P/S (TTM)
6.10
P/FCF (TTM)
61.58
Rev YoY
+20.1%
EPS YoY
-48.6%
Gross Margin
+57.5%
Op Margin
-12.9%
Net Debt
-$419.67M
Current Ratio
5.11
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology