MPWR
Monolithic PowerDNasdaq / Semiconductors & Semiconductor Equipment
Last Price
At close
2026-06-02
Current thesis
The post-print bull case strengthened: Q1 beat pre-release consensus, Q2 revenue guidance of $890M-$910M was above the pre-print revenue expectation cited in coverage, and selected firms raised targets after results, including Needham to $1,750 from $1,300, Wolfe to $1,950 from $1,650, and KeyBanc to $2,000 from $1,500 while maintaining positive ratings.
Posture
Defensive
Lead driver
Value
What changed
11 setup hits (3d) with net bullish as of 2026-06-02.
What can break
Capacity expansion toward a near-term $6B goal raises execution risk if utilization or project ramps lag management expectations [#8-K-2026-04-30].
Momentum
42
Value
49
Sentiment
44
Setup hits (3d)
11 · Net Bullish
AI TargetsBase $1,330.00 · Bull $1,750.00 · Bear $1,100.00
Data freshness
Prices
As of 2026-06-02
Fundamentals
As of 2026-06-01 • Vendor: Data Vendor v1
Scores
As of 2026-06-02 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-03 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-06-02
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Bullish
Target $1,330.46
Why
Momentum42 · Δ7d +19.7
Value49 · Δ7d -0.1
Sentiment44 · Δ7d +5.6
So what
Weak posture (Net Bullish). Prioritize risk control and patience.
Lead driver: Value · See fundamentals
Momentum
42
34% active weight
Current posture
7d trendFlat
Δ7d
+19.7
Δ21d
-17.1
Value
49
32% active weight
Current posture
7d trendFlat
Δ7d
-0.1
Δ21d
+0.0
Sentiment
44
33% active weight
Current posture
7d trendImproving
Δ7d
+5.6
Δ21d
+13.5
Why this grade
Composite grade D. Momentum 41.5 / Value 49.2 / Sentiment 43.7
Fundamentals (TTM)As of 2026-06-01
Fundamentals (TTM)
As of 2026-06-01
Market Cap
$75.78B
Beta
1.45
Shares Out
47.91M
P/E (TTM)
24.4
P/S (TTM)
17.19
P/FCF (TTM)
106.20
Rev YoY
+18.9%
EPS YoY
+25.8%
Gross Margin
+55.2%
Op Margin
+26.0%
Net Debt
-$862.95M
Current Ratio
4.77
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology

