Back to Rankings

AOSL

Alpha and Omega SemiconductorD
Nasdaq / Semiconductors & Semiconductor Equipment
Last Price
At close
2026-07-22
View Chart
Current thesis
The post-earnings bull case is that AOS may have reached a cyclical near-term bottom while higher-value AI/server and premium-smartphone content starts to lift mix. Management pointed to Advanced Computing strength, robust demand from a Tier One U.S.
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.0.
What can break
Manufacturing and product announcements carry execution risk because IPM5 volume production and new AI-power products still require design-win, customer-ramp, and utilization follow-through to matter financially. [#PR-2026-04-14-IPM5] [#PR-2026-04-30-SMARTCLAMP]
Momentum
25
Value
50
Sentiment
52
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $38.00 · Bull $46.00 · Bear $30.00
Data freshness
Prices
As of 2026-07-22
Fundamentals
As of 2026-07-22 • Vendor: Data Vendor v1
Scores
As of 2026-07-22 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-08 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-22
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $49.00
Why
Momentum25 · Δ7d -15.9
Value50 · Δ7d +0.0
Sentiment52 · Δ7d -1.3
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Value · See fundamentals
Momentum
25
26% active weight
Current posture
7d trendSoftening
Δ7d
-15.9
Δ21d
-70.2
Value
50
39% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.6
Sentiment
52
34% active weight
Current posture
7d trendSoftening
Δ7d
-1.3
Δ21d
+25.9
Why this grade

Composite grade D. Momentum 25.3 / Value 49.9 / Sentiment 51.7

Fundamentals (TTM)
As of 2026-07-22
Market Cap
$1.04B
Beta
2.01
Shares Out
29.93M
P/E (TTM) · Derived
18.7
P/S (TTM)
0.92
P/FCF (TTM) · Derived
-17.22
Rev YoY
-0.5%
EPS YoY
+26.4%
Gross Margin
+22.4%
Op Margin
-4.7%
Net Debt
-$102.59M
Current Ratio
3.32
As of 2026-07-22 • Updated nightlySource: Internal modelMethodology