ICHR
IchorCNasdaq / Semiconductors & Semiconductor Equipment
Last Price
At close
2026-06-02
Current thesis
The earnings release supports a near-term recovery view: Q1 beat the company’s prior guide midpoint, Q2 guidance stepped up materially, and management explicitly cited accelerating customer delivery timelines plus another quarter of sequential revenue, margin, and EPS improvement [#8-K-2026-05-04].
Posture
Mixed
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite, 7D delta +0.1.
What can break
At T+1, post-earnings analyst estimate and target revisions were not meaningfully available from checked sources, so the market’s initial positive reaction has not yet been broadly validated by refreshed sell-side numbers.
Momentum
68
Value
42
Sentiment
41
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $60.00 · Bull $78.00 · Bear $42.00
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 2026-05-04 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-06-02
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $46.86
Why
Momentum68 · Δ7d +0.1
Value42 · Δ7d +0.2
Sentiment41 · Δ7d +1.4
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Momentum · See technicals
Momentum
68
34% active weight
Current posture
7d trendFlat
Δ7d
+0.1
Δ21d
-17.8
Value
42
32% active weight
Current posture
7d trendFlat
Δ7d
+0.2
Δ21d
+0.2
Sentiment
41
33% active weight
Current posture
7d trendImproving
Δ7d
+1.4
Δ21d
+14.6
Why this grade
Composite grade C. Momentum 68.5 / Value 42.0 / Sentiment 40.8
Fundamentals (TTM)As of 2026-06-01
Fundamentals (TTM)
As of 2026-06-01
Market Cap
$2.43B
Beta
1.87
Shares Out
34.38M
P/E (TTM) · Derived
-45.9
P/S (TTM)
0.75
P/FCF (TTM)
70.29
Rev YoY
+13.3%
EPS YoY
-707.8%
Gross Margin
+9.8%
Op Margin
-2.8%
Net Debt
$19.85M
Current Ratio
3.08
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology